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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur 11 Jul '24

11 Jul '24

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl<https://uai.win.tue.nl/>) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in mathematics, computer science, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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[CfP] Call for Contributions - WSCL @ ECAI 2024 Workshop - Deadline Extension
by Andrea Campagner 01 Jul '24

01 Jul '24

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) workshop Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We welcome different types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work; ● review transfer for papers rejected at ECAI main track. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. If you want to take advantage of this option, aside from submitting your contribution to the workshop, you should also fill-in the form at https://forms.gle/QPav5rHVMCuSMhFZ9 before the 11th July 2024 Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 12th July 2024 ● Review Transfer submission deadline: 12th July 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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IPMU2024 - Call for Participation
by Christophe Marsala 24 Jun '24

24 Jun '24

Dear All, The program of the IPMU 2024 conference is now online: https://ipmu2024.inesc-id.pt/?page_id=806 It is still time to register to attend the conference in Lisbon! Best regards, Christophe Marsala ----------------------------------------------- * 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: March 8th, 2024 - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 *- Conference: July 22nd - 26th, 2024* /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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SUM 2024 - Call with EXTENDED DEADLINE (11 July)
by sdesterc 21 Jun '24

21 Jun '24

***Apologies if you receive multiple copies. Please disseminate to potentially interested colleagues.*** Dear colleagues, Due to various requests, we have decided to extend the SUM 2024 submission deadline to the 11 July. Please find below the main information regarding the conference. ========================================= Conference announcement + key dates ***EXTENDED*** ========================================= The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 24, 2024 Paper Submission: July 11, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Today's SIPTA seminar: Eyke Hüllermeier, "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning"
by Jasper De Bock 14 Jun '24

14 Jun '24

Dear colleagues, In case you hadn’t heard yet: the next SIPTA online seminar on imprecise probabilities (IP) is less than two hours away. These monthly events are open to anyone interested in IP, and are followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The zoom link for today's seminar is https://utc-fr.zoom.us/j/86257697233 For this seminar, we are very happy to have Eyke Hüllermeier as our speaker. Eyke Hüllermeier is a full professor at the Institute of Informatics at LMU Munich, Germany, where he heads the Chair of Artificial Intelligence and Machine Learning. His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 300 articles on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier is President of the European Association for Data Science (EuADS) and Editor-in-Chief of Data Mining and Knowledge Discovery, one of the leading journals in the field of AI. Today at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars<http://sipta.org/events/sipta-seminars>. The zoom link for attending the seminar is also available on that same page. So please join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=tUlb6ybqfpI&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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Scalable Uncertainty Mangement 2024 (November 27-29, Palermo): second call for paper
by sdesterc 06 Jun '24

06 Jun '24

Our apologies if you receive multiple copies of this mail. =================================== Conference announcement + key dates =================================== The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are currently bi-annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Call for Contributions - WSCL @ ECAI 2024 Workshop (Last Reminder)
by Andrea Campagner 04 Jun '24

04 Jun '24

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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SIPTA school 2024: last call for registrations
by Floris Persiau 03 Jun '24

03 Jun '24

Dear interested researchers, young(er) and old(er), Only 1 month remains to register for the SIPTA school 2024 (deadline 30 June 2024). So, whether you want to find out why there is more to uncertainty than probabilities, deepen your knowledge on imprecise probabilities, or see how these more general uncertainty models are used and applied in a variety of fields, we urge you to enrol through our registration page<https://school24.sipta.org/registration/>. We recall from previous mails that the school takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. At the moment, a late bird fee of € 125 applies. In return, you’ll get lectures from leading experts in the field, free lunches and coffee breaks, an easy-going pizza night, and a kayak excursion on the canals of Ghent. More information can of course be found on https://school24.sipta.org/. Be there or be square<https://imgur.com/gallery/be-there-be-square-Y2wfm>, Floris & Alexander

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[job] PhD in probabilistic ML @ TU Eindhoven
by Cassio de Campos 22 May '24

22 May '24

Dear all, We are currently looking for a PhD candidate in probabilistic machine learning; please forward the information below to any parties you think might be interested! We are particularly interested in imprecise probability related topics. best regards, cassio. --- Are you interested in working on foundational issues of robustness and reliability of probabilistic AI? Are you motivated to translate your theoretical results to real-world problems in healthcare? Then come join us as our next PhD-candidate in the Uncertainty in AI group! The Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl) In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms, and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together with the successful candidate and in line with the NWO Perspectief Project Personalised Care in Oncology (www.personalisedcareinoncology.nl) The research topics may include, but are not restricted to: * Probabilistic graphical models (Markov, Bayesian, credal networks) * Causality: Theory and application * Cautious AI, including imprecise probabilities * Robust stochastic processes * Tractable models and decision-making * Online/continual learning with evolving data Job requirements * Master’s degree in Mathematics, Statistics, Computer Science, or a related field * Excellent analytical and mathematical skills * Affinity with developing theoretical results * Excellent algorithmic skills (including realizing it via coding) * Excellent academic writing and presentation skills * Proficiency in English (written and spoken) * Desire to conduct excellent research and publish in high quality conferences and journals * Independent thinker and self-responsibility * Ability and desire to collaborate and work in teams * Ability and desire to support teaching and to co-supervise bachelor and master students For more information and applying (deadline 23 June 2024), please see https://jobs.tue.nl/en/vacancy/phd-in-probabilistic-machine-learning-108125… If you have further questions, please don't hesitate to contact me! Best, dr. Thomas Krak t.e.krak [at]tue.nl Assist. Prof. in UAI group Eindhoven University of Technology

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New post on the SIPTA blog
by Van Camp, Arthur 15 May '24

15 May '24

Dear IP enthusiasts, Just over one month after the previous update, the SIPTA blog<https://sipta.org/blog/> has another new blogpost. You can learn more about Loïc Adam's doctoral research<https://sipta.org/blog/thesis-loic/> on learning preferences under severe uncertainty. Kind regards, Arthur Van Camp

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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur 08 May '24

08 May '24

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence Deadline: 2 June 2024 The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in computer science, mathematics, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. Applications should be submitted by 2 June 2024 or earlier. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Davide Elio Ciucci 06 May '24

06 May '24

Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it <mailto:andrea.campagner@unimib.it> (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it <mailto:davide.ciucci@unimib.it> ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr <mailto:sebastien.destercke@hds.utc.fr> ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es <mailto:luciano@uniovi.es>

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CFP: 8th International Conference on Belief Functions (BELIEF 2024), Belfast, UK, Sept 2-4, 2024
by Thierry Denoeux 24 Apr '24

24 Apr '24

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…> The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 30, 2024: Paper submission deadline (extended) * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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Next SIPTA virtual seminar: 30th April (3pm Paris time), Christoph Jansen on decision making applied to ML and stat
by sdesterc 18 Apr '24

18 Apr '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 30th of April (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85460316690 For this new seminar, we are very happy to have Christoph Jansen as our speaker. Christoph Jansen is currently a postdoctoral researcher and habilitation candidate at the Department of Statistics of LMU Munich, where he works on decision making in complex and weakly informed systems, with applications to machine learning and statistics. On the 30th of April, at 15:00 paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Decision making under weakly structured information with applications to robust statistics and machine learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th of April, and join us for the occasion. And for those who missed the previous seminars and want to catch up, or simply want to see them again and again, they are online at https://www.youtube.com/playlist?list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51 See you at the seminar! Sébastien, Enrique and Jasper

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro 17 Apr '24

17 Apr '24

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: April 29, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master's degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is June 2024 (or as can be arranged by mutual agreement). For further information, please contact Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by April 29th, 2024.

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Two new posts on the SIPTA blog
by Alexander Erreygers 12 Apr '24

12 Apr '24

Dear IP enthusiasts and sympathizers, Still looking for some weekend reading? The SIPTA blog<https://sipta.org/blog> has got you covered with not one but two new — or at least recently new — posts. You can learn more about Arianna Casanova’s doctoral research on rationality and desirability<https://sipta.org/blog/thesis-arianna/>, or eavesdrop on a conversation between Michele Caprio and Eyke Hüllermeier<https://sipta.org/blog/interview-eyke/> on Eyke's career, the challenges of using imprecise probabilities in the field of machine learning, and much more. Expect more blog posts like this in the near future! Kind regards, Alexander Erreygers SIPTA's Executive Editor PS: In the SIPTA Seminar on 30 April 2024, Christoph Jansen will be speaking about decision making under weakly-structured information; read the abstract of his talk here<http://localhost:1313/events/sipta-seminars/>.

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Andrea Campagner 10 Apr '24

10 Apr '24

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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Call for New Elsevier Textbooks - Probability and Statistics 1e
by Cohen, Stephanie (ELS-HBE) 04 Apr '24

04 Apr '24

Dear Executive Editor at SIPTA, I hope this email finds you well this April. My name is Stephanie Cohen, and I'm the Acquisitions Editor for Physical Sciences at Elsevier's STEM Education Textbook program, based in New York, NY. I was hoping to send out a call to your list-serv for individuals who would be interested in authoring a new textbook. Recently, I've been researching and gathering faculty feedback on a range of related courses in Statistics & Probability, so that I can better understand student and professor needs at the undergraduate and graduate levels, as well as current resources. We have identified Probability & Statistics as an area where a new, carefully considered textbook may be empowering both for students and faculty, both here in the U.S. and globally. Currently a smattering of different textbooks appear to be in use. Currently, I am seeking potential author(s) for a title in this vein, as well as further feedback or suggestions, and would be very open to any thoughts you may have, or your own in involvement in authoring a textbook. There is certainly room for adjustments or textbook topics other than the proposed one above for a new textbook-happy to discuss! Thank you. I would be glad to share more information about our book development processes as well, or have a call to answer any questions anyone might have. All my best, Stephanie Cohen Stephanie Cohen Acquisitions Editor, Physical Science Textbooks ELSEVIER | Global Content Partners St.cohen(a)elsevier.com<mailto:St.cohen@elsevier.com>

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SIPTA School 2024: (Re)mind the dates!
by Floris Persiau 02 Apr '24

02 Apr '24

To all interested researchers, young(er) and old(er), fast(er) and slow(er), Since the early bird deadline of the SIPTA School 2024 is approaching, we like to remind you to bear the following in mind: * If you want to make use of the early bird fee, you should register<https://school24.sipta.org/registration/> before 15 April 2024. The same deadline applies if you want to make use of our option to rent a private room for the duration of the summer school. * We have 5 grants available for (partially) covering your accommodation and transport costs. If you want to apply for one of these grants, you should do so by 10 April 2024. We remind you that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website<https://school24.sipta.org/>. Date and location The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. Registration For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to rent a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024. Grants We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration<https://school24.sipta.org/registration/> section of the school’s website. We look forward to welcoming and meeting you in Ghent! Please (continue) spread(ing) the word! With kind regards, Floris Persiau and Alexander Erreygers

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Re: IPMU 2024 call for short papers / extended abstract (extended deadline)
by Kreinovich, Vladik 01 Apr '24

01 Apr '24

FYI, papers using imprecise probabilities are always welcome at this series of conferences From: Christophe Marsala Sent: Monday, April 1, 2024 1:23 PM Dear All, Attached you can find the call for short papers / Extended abstract for the next IPMU 2024, the deadline to submit such papers has been extended. Best regards, Christophe Marsala ----------------------------------------------- 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Keynote Spearkers * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) Topics and Scope of the Conference Theory, Methods and Tools: Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. Short papers / Extended Abstracts IPMU will also accept short paper / extended abstracts of up to 4 pages. Short papers’ acceptance will be based on a 1-page abstract that will be checked for appropriateness and relevance. · The 1-page abstract must be submitted through EasyChair system, at the same link of regular papers<https://easychair.org/my/conference?conf=ipmu2024>. Do not enclose any attachment, edit the abstract directly in the online window of the EasyChair system. Submissions without an attached paper will be considered as short papers / extended abstracts. · The abstracts can be submitted to one of the proposed special sessions or the general track of IPMU2024. · Short papers / extended abstracts will be included in the regular conference program and Book of Abstracts, and will be presented orally. · Accepted short papers will not be published by Springer. A separate volume, with its own DOI, containing the accepted works, will be published in open access. Authors may opt to not include their work in this volume. Details regarding the submission of the 4-page document will be provided after the paper acceptance. IMPORTANT DATES - Paper submission: March 8th, 2024 - Notification of acceptance (regular paper): April 16th, 2024 - Short paper / Extended abstract submission : April 23th, 2024 - Camera-ready paper submission: May 7th, 2024 - Early/author registration: May 7th, 2024 - Conference: July 22nd-26th, 2024 General Chair João Paulo Carvalho (Portugal) Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Special Session Chair: Anna Wilbik (Netherlands) Publicity Chair Christophe Marsala (France) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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ISIPTA seminar: errata (Babara Vantaggi, 26th March)
by sdesterc 20 Mar '24

20 Mar '24

Dear Colleagues, You will probably have corrected this yourself, but due to an autocorrect function and my own impatience to announce the seminar, there was a mistake in the title date and in the name of our esteemed speaker. This is, and will be a talk by Barbara Vantaggi, on the 26th of March, at 3pm Paris time. Best regards, and sorry for any incovenience. Sébastien

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Next SIPTA seminar: Barbara Vantage (IP and finance), 16th March at 3pm Paris time.
by sdesterc 20 Mar '24

20 Mar '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 26th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86044393366 For this new seminar, we are very happy to have Barbara Vantaggi as our speaker. Barbara Vantage is a Full Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences at the University La Sapienza, Roma. She is well-known for her many contributions to the foundations of (imprecise) probabilistic reasoning under coherence, decision making under uncertainty and their development to financial applications. On the 26th of March at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "A dynamic Choquet pricing rule with bid-ask spreads under Dempster–Shafer uncertainty”, showing how imprecise probabilistic approaches can be useful in financial mathematics. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page, where you will also find announcements of our next seminars. So please mark your calendars on the 26th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=LG4trFXC53g See you at the seminar! Sébastien, Enrique and Jasper

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BELIE 2024 - Call for Papers
by Bi, Yaxin 18 Mar '24

18 Mar '24

****** Call for Papers ****** https://bfasociety.org/Belief2024/ The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. 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Deadline Extended - 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets)
by Cristina Rottondi 14 Mar '24

14 Mar '24

Dear colleagues, I'm sharing the updated CfP of thTX4Nets workshop, with extended submission deadline to April 14. Contributions on uncertainty quantification applied to telecommunication networks are welcome. Best regards, Cristina Rottondi ***Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: April 14, 2024 (extended, firm) Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 6, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Cristina Rottondi, Politecnico di Torino, Italy Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy Marco Savi, University of Milano-Bicocca, Italy

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PhD in Conformal Prediction and Credal Probabilistic Machine Learning
by Michele Caprio 08 Mar '24

08 Mar '24

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. You should apply through the official university's website <https://www.se.manchester.ac.uk/phds-science-engineering/?utm_source=course…> and create an account. You should then apply for the PhD Artificial Intelligence CDT program (see attached picture). When asked about "Research details", you can use the project details that you can find here <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…>. You don't need to submit a new research proposal. I hope to hearing from you soon, Yours, Michele Caprio

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro 06 Mar '24

06 Mar '24

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: March 28, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master’s degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is May 2024 (or as can be arranged by mutual agreement). For further information, please get in touch with Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by March 28th, 2024.

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IPMU 2024 last call ! (extended deadline: March 8th)
by Christophe Marsala 01 Mar '24

01 Mar '24

Dear Sir, Could you, please, forward this announcementof the next IPMU conference to your ISIPTA mailing list? I thank you in advance, Best regards, Christophe Marsala ------------------------------------------------------------- Due to several requests, and to let you enough time to prepare you submission, the deadline to submit papers is extended for the last time to *March 8th, 2024*. Don't miss the opportunity to attend IPMU in Lisboa ! Best regards, Christophe Marsala ----------------------------------------------- *20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: *March 8th, 2024*/(last extension)/ - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 - Conference: July 22nd-26th, 2024 /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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Call for paper: SUM 2024 conference in Palermo (November 27-29)
by sdesterc 01 Mar '24

01 Mar '24

*** please disseminate this call to whomever may be interested. We apologise in case you received multiple copies *** =================================== Conference announcement + key dates =================================== The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2020 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet) ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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CFP: BELIEF 2024, Belfast, UK, Sept 4-6, 2024
by Thierry Denoeux 01 Mar '24

01 Mar '24

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…> The 8th International Conference on Belief Functions (BELIEF 2024) Dates: September 4th-6th, 2024 Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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On the necessity of causality
by Marco Zaffalon 26 Feb '24

26 Feb '24

Dear SIPTAnts, There’s this new paper that looks really cool and fundamental: https://arxiv.org/pdf/2402.10877.pdf. Loosely speaking, it shows that causal models are somewhat of a necessary consequence of being robust to a variety of conditions. Enjoy the read, Marco

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur 26 Feb '24

26 Feb '24

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) https://www.smps2024.com Salzburg (Austria), September 3-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Extended paper submission deadline: March 17, 2024 Author notification: April 21, 2024 Conference: September 3-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage https://www.smps2024.com. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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CFP: special session on imprecise probabilities at IPMU'2022 (deadline extended to march 1)
by IGNACIO MONTES GUTIERREZ 14 Feb '24

14 Feb '24

Dear Siptians, Please, find attached the 2nd CFP for the special session on IP at IPMU conference. Note that the submission deadline has been extended. Best regards %%%%%%%%%%%%%%% **Apologies for multiple copies** Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024) https://urldefense.com/v3/__https://ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!R…<https://urldefense.com/v3/__https:/ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!Rv…> Lisbon (Portugal), July 22-26, 2024 Important Dates Paper submission (extended!): March 1, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making * algorithmic issues Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es<mailto:imontes@uniovi.es>), University of Oviedo (Spain)

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PhD Opportunity
by Michele Caprio 08 Feb '24

08 Feb '24

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. I hope to hearing from you soon, Yours, Michele Caprio

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Special Session on ML under Weakly Structured Information at SMPS 2024
by Jansen, Christoph 08 Feb '24

08 Feb '24

Call for papers Special Session on Machine learning and decision making under weakly structured information at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) Salzburg (Austria), September 4-6, 2024 Session topic and goal This session deals with machine learning problems that appear under weak information structures and, therefore, fail to be handled by traditional methods. The reason for the weak structure can be manifold, ranging from complex data and non-typical scales of measurement to generalized uncertainty models such as imprecise probabilities. In particular, the topics of the session include (but are not limited to): * Imprecise probabilities in ML and statistics * Preferences in ML and statistics * Decision theoretic approaches in ML and statistics * Formal concept analysis in ML and statistics * Non-standard data (e.g. ordinal data, mixed-scaled data) * (Generalized) Bayesian methods in ML and statistics * Uncertainty quantification in ML and statistics * Robustness in decision theory * Robust statistics Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions When submitting the paper, choose the session Machine learning and decision making under weakly structured information in the conference management tool. Papers should be 6-8 pages. All required information can be found on the conference homepage www.smps2024.com<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.smps20…>. Organizers Please let us know if you plan to submit a contribution to this session as soon as possible. Questions or comments can be addressed to: Thomas Augustin, Christoph Jansen, Georg Schollmeyer Ludwig-Maximilians-Universität München (Germany) {thomas.augustin,christoph.jansen,georg.schollmeyer}(a)stat.uni-muenchen.de

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SIPTA virtual seminar 14th February 3pm Paris time: "Mixing Time and Uncertainty. A Tale of Superpositions", Rafael Penaloza
by sdesterc 07 Feb '24

07 Feb '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 14th of February(Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85488837637 For this new seminar, we are very happy to have Rafael Peñaloza Nyssen as our speaker. Rafael Peñaloza Nyssen is currently Associate Professor at the IKR3 Lab of the University of Milano-Bicocca. HIs main interests and contributions are in knowledge representation and logical formalisms to handle various problems. Lately, he has taken a keen interest in reasoning and uncertainty, notably by using imprecisely specified probabilistic information in temporal reasoning. On the 14th of February, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Mixing Time and Uncertainty. A Tale of Superpositions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 14th of February, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=EI8JSL80RuE See you at the seminar! Sébastien, Enrique and Jasper

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Fwd: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D.
by Michele Caprio 07 Feb '24

07 Feb '24

Dear SIPTians, For those of you who are interested in the relationship between Machine Learning and IPs, I'll be giving a talk tomorrow at 12 noon EST. You can find the zoom link in the forwarded email below. Hope to see you there! Yours, Michele ---------- Forwarded message --------- From: Wai-Ping Ng <wng(a)seas.upenn.edu> Date: Mon, Feb 5, 2024 at 7:34 PM Subject: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D. To: Wai-Ping Ng <wng(a)seas.upenn.edu> *|MC_PREVIEW_TEXT|* View this email in your browser PRECISE Center presents Michele Caprio, Ph.D. Postdoc, University of Pennsylvania Imprecise Probabilities Machine Learning Thursday, 8 February 2024 Noon - 1 pm 3330 Walnut Street Levine Hall Room 307 Philadelphia, PA 19104 For remote attendees, please use this <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> link. ABSTRACT In this talk, I will present Imprecise Probabilities (IPs), from their historic philosophical motivations to their applications to frequentist and Bayesian statistics. In turn, I will explore how the statistical approaches to IPs allowed to start the field of Imprecise Probabilistic Machine Learning, and why such a field is of paramount importance in modern ML. I will provide plenty of references, together with some new results on the comparison between Conformal Prediction and Imprecise Probabilistic Machine Learning, and how the latter can be used to derive regions that are narrower than the conformal ones, while retaining the same probabilistic guarantees. BIO Michele Caprio is a Postdoc at the PRECISE Center <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Pennsylvania <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, under the guidance of Prof. Insup Lee <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is an incoming Lecturer (Assistant Professor) in Machine Learning at the Department of Computer Science <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Manchester <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is also part of the Manchester Centre for AI Fundamentals <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, and an incoming Supervisor at the UKRI AI Center for Doctoral Training <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> in Decision Making for Complex Systems. His main research interests are Uncertainty Quantification in AI and ML, Probabilistic ML, and Imprecise Probabilities. In 2023, he won the IJAR Young Researcher Award <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, a prize awarded every two years to a young scholar who demonstrates excellence in research at an early stage of the scientific career. _______________________________________________ insuplee_group mailing list insuplee_group(a)lists.seas.upenn.edu https://lists.seas.upenn.edu/mailman/listinfo/insuplee_group

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SIPTA school 2024: website online and registrations open
by Floris Persiau 07 Feb '24

07 Feb '24

To all interested researchers, young(er) and old(er),We’re happy to announce that we’ve finalised the programme of the 11th SIPTA School, and that it can be found on the school’s recently launched website: https://school24.sipta.org/. We recall from our previous mail that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website.DATE AND LOCATION The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium,REGISTRATION The registration portal is open as of today. For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to hire a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024.GRANTS We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration section of the school’s website.We look forward to welcoming and meeting you in Ghent!Please spread the word!With kind regards,Floris Persiau and Alexander Erreygers

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CfP of TX4Nets
by Cristina Rottondi 06 Feb '24

06 Feb '24

Dear SIPTA members, I take the liberty to disseminate the CfP of the first edition of the Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets), co-located with IFIP Networking 2024. Contributions on uncertainty quantification with applications to the field of telecommunication networks are welcome. Best regards, Cristina Rottondi *** Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: March 27, 2024 Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 2, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Cristina Rottondi, Politecnico di Torino, Italy Marco Savi, University of Milano-Bicocca, Italy Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur 02 Feb '24

02 Feb '24

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) http://www.smps2024.com<%22> Salzburg (Austria), September 4-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage www.smps2024.com<http://www.smps2024.com>. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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Re: IMEKO 2024 World Congress - Deadline extended!
by Kreinovich, Vladik 31 Jan '24

31 Jan '24

FYI, IMEKO 2024 XXIV World Congress of the International Measurement Confederation IMEKO,<https://www.imeko2024.org/> Hamburg, Germany, August 26-29, 2024, https://www.imeko2024.org/home measurement-related papers that use imprecise probabilities are always welcome at this series of conferences From: haide.Borrmann(a)ptb.de<mailto:haide.Borrmann@ptb.de> <haide.Borrmann(a)ptb.de<mailto:haide.Borrmann@ptb.de>> On Behalf Of imeko2024(a)ptb.de<mailto:imeko2024@ptb.de> Sent: Wednesday, January 31, 2024 6:19 AM [cid:image001.gif@01DA5433.D0B99720] Organizing Committee Secretariat WC2024 Physikalisch-Technische Bundesanstalt Bundesallee 100 D-38116 Braunschweig E-Mail: imeko2024(a)ptb.de<mailto:imeko2024@ptb.de> https://www.imeko2024.org/

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FW: Call for abstracts for ISRERM 2024
by Kreinovich, Vladik 31 Jan '24

31 Jan '24

FYI, imprecise probabilities are one of the highlighted topics From: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> <beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>> Sent: Monday, January 29, 2024 9:35 AM [Institute for Risk and Reliability Logo] [University of Hannover Logo] Call for abstracts for ISRERM 2024 [https://cossan.irz.uni-hannover.de/uploadimages/image/Header.png] Dear Colleague, It's our pleasure to invite you to submit an abstract to the International Symposium on Reliability Engineering and Risk Management (ISRERM) to be held at Hefei University of Technology, China, from October 18th to 21st, 2024. Please also take a look at several mini-symposia. The detailed description of the these mini-symposiums can be found here<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkpfVQRSBlcGWR8FDANXSQwO…> as well as below. The International Symposium on Reliability Engineering and Risk Management (ISRERM) is a significant biennial international conference that serves as a pivotal platform for the exchange of knowledge and innovative applications in the fields of reliability-based, risk-based, and uncertainty-informed decision making. Its primary focus lies in addressing safety-related aspects throughout the entire lifecycle of engineering systems. Over the years, ISRERM has garnered international recognition, with a rich history of hosting conferences at esteemed institutions worldwide. Past symposiums have been hosted at prestigious locations such as Tongji University, Shanghai, China (2008, 2010), Kanagawa University, Yokohama, Japan (2012), Taiwan University of Science & Technology, Chinese Taipei (2014), Yonsei University, Seoul, South Korea (2016), National University of Singapore, Singapore (2018), Beijing University of Technology, China (2020), and Leibniz University Hannover, Germany (2022). It is with great excitement that we announce the forthcoming 9th ISRERM, scheduled to be held at Hefei University of Technology, China, from October 18th to 21st, 2024. ISRERM serves as a platform fostering interdisciplinary dialogue on reliability assessment, risk and uncertainty quantification, mitigation, and management, as well as effective decision-making strategies. Our primary objective is to bridge the knowledge gaps among diverse disciplines grappling with similar challenges and to transform scholarly discussions into strong frameworks for dealing with emerging reliability and risk management problems. The deadline for the abstract submission is February 29, 2024. The official registered submission website is as follows: https://isrerm2024.aconf.org<https://isrerm2024.aconf.org/> 1. If you are visiting this page for the first time, please create a new profile by clicking on the homepage "Sign up". Once the profile has been created, it is possible to access your profile again at any time, by entering your email and password. 2. Please log in to fill in and save your personal information ("Dashboard" → “My Profile"). Next click the “Downloads” tab on the left side of homepage to download the template file of the abstract (ISRERM_2024_Abstract_templates.zip). 3. Submit the abstract in the submission area. You can get to the submission area through the “Submission” tab on the left side of homepage. Information about Registration, Exhibition, and Sponsorship opportunities will be made available soon. Please visit regularly the symposium website for news and updates. If you have any question, please feel free to contact the organizers via the following e-mail address: isrerm2024(a)hfut.edu.cn<mailto:isrerm2024@hfut.edu.cn> With warm regards Yours sincerely Jie Li, Conference Chair, Academician of CAS, EASA, University Distinguished Chair Professor, Tongji University Jingfeng Wang, Chair of Local Organizing Committee, Professor, Hefei University of Technology Lunhai Zhi, Co-Chair of Local Organizing Committee, Professor, Hefei University of Technology Yongbo Peng, Co-Chair of Local Organizing Committee, Professor, Tongji University ISRERM 2024 Secretariat Hefei University of Technology Hefei 230009, China Email: isrerm2024(a)hfut.edu.cn<mailto:isrerm2024@hfut.edu.cn> Website: https://isrerm2024.aconf.org<https://isrerm2024.aconf.org/> ________________________________ MS03: Uncertainty Modeling and Quantification for Model Updating and Structural Health Monitoring Abstract: Structural Health Monitoring (SHM) aims at condition assessment and service life monitoring of structural systems, often based on the availability of system vibration data. Model updating has been developed as a key technique for SHM, where the parameters or the numerical model itself are calibrated to tune the model prediction close to the actual system behaviour. However, uncertainties are inevitable in both the measuring and modeling processes, which leads to the necessity of non-deterministic approaches to modeling and quantifying the uncertainties. This Mini-Symposium is dedicated to gathering experts from both academia and industries to showcase the latest advances on the uncertainty treatment in model updating and SHM and their practical applications. * Topics for potential contributions include but are not limited to: * Stochastic/interval model updating; * Inverse quantification of mixed aleatory and epistemic uncertainty; * On-line model updating for nonlinear dynamic systems; * Model updating and SHM applications in large-scale structures. MS03 Organizers: * Masaru Kitahara, The University of Tokyo, Tokyo, Japan. E-mail: kitahara(a)bridge.t.u-tokyo.ac.jp<mailto:kitahara@bridge.t.u-tokyo.ac.jp> * Michael Beer, Leibniz University Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Siu-Kui Au, Nanyang Technological University, Singapore, Singapore. E-mail: ivanau(a)ntu.edu.sg<mailto:ivanau@ntu.edu.sg> * Takeshi Kitahara, Kanto Gakuin University, Yokohama, Japan. E-mail: kitahara(a)kanto-gakuin.ac.jp<mailto:kitahara@kanto-gakuin.ac.jp> ________________________________ MS05: Stochastic finite element methods and their applications on model updating Abstract: Stochastic finite element method is an important tool widely used in many aspects such as reliability analysis, safety assessment and model updating et al. At present, various stochastic finite element methods have been developed. As typical representatives among these methods, the perturbation methods and the Garlekin based methods like PC and GPC, have been successfully applied to solve the stochastic problems in extensive industrial fields. However, highly accurate and efficient stochastic finite element methods are still developing to implement the stochastic analysis of large-scale structural models. This research direction has been attracting many researchers’ attention. Model updating is a key content in structural health monitoring. When considering the randomness of structural modelling and measurement data, the stochastic model updating becomes unavoidable. To solve stochastic model updating problems, the stochastic finite element methods can play a significant role instead of the usually used Bayesian methods. This direction is a hot topic in current structural model updating, which has a very good application prospect in practical structural health monitoring. The symposium aspires to create a conducive environment for scholars, researchers, and practitioners to exchange insights and findings, fostering collaborative endeavors and innovations in the domain of stochastic finite element method. The inclusion of diverse theoretical explorations and practical applications is anticipated to provide a comprehensive perspective on the evolving role of stochastic finite element method to address the inverse problem in health monitoring. Topics for potential contributions include but are not limited to: * Recent advances in stochastic finite element method. * Advanced computational techniques in Stochastic Static and Dynamics. * Recent mathematical and numerical developments in stochastic structural engineering static and dynamics. * New surrogate modeling techniques tailored to some computationally-demanding problems. * Stochastic finite element method in reliability analysis, safety assessment. * Stochastic model updating. * Model update with structural health monitoring. * Engineering practice of structural health monitoring accommodating uncertainties. * Novel uncertainty quantification techniques in model updating. * Data-driven approaches for model updating. MS05 Organizers: * Prof. Dr. Bin Huang, Wuhan university of technology, Wuhan, China. E-mail: binhuang(a)whut.edu.cn<mailto:binhuang@whut.edu.cn> * Dr. Heng Zhang, Yangtze University, Jinzhou, China. E-mail: supzhangheng(a)163.com<mailto:supzhangheng@163.com> * Dr. Hui Chen, College of Post and Telecommunication, Wuhan Institute of Technology, Wuhan, China. E-mail: huichenvip(a)163.com<mailto:huichenvip@163.com> * Dr. Zhifeng Wu, Huazhong University of Science and Technology, Wuhan, China. E-mail: wuzhifeng(a)hust.edu.cn<mailto:wuzhifeng@hust.edu.cn> * Prof. Dr. Michael Beer, head of Institute for Risk and Reliability, Leibniz Universität Hannover (LUH), Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Prof. Sifeng Bi, University of Strathclyde, Glasgow, United Kingdom. E-mail: sifeng.bi(a)strath.ac.uk<mailto:sifeng.bi@strath.ac.uk> ________________________________ MS08: Data-driven and Uncertainty-aware Modeling of Complex and Nonlinear Systems Abstract: The recent years have seen significant progress in modeling complex and nonlinear systems, with a notable shift towards data-driven methodologies and a heightened recognition of the inherent uncertainties associated with such systems. Non-deterministic modeling approaches, including probabilistic, interval, fuzzy, or imprecise methods, necessitate accurate specification of uncertain model parameters. However, direct measurement of these quantities is often impractical or cost-prohibitive, leading to the widespread application of data-driven and uncertainty-aware modeling techniques. This mini-symposium aims to bring together experts, researchers, and practitioners from academia and industry to explore and discuss the latest developments, methodologies, and applications related to data-driven modeling and the incorporation of uncertainty-aware techniques in understanding complex and nonlinear systems. Papers discussing advances in techniques from both uncertainty forward and inverse propagation by probabilistic theory, as well as interval methods and concepts based on imprecise probabilities are invited. Next to these non-deterministic and data-driven approaches for numerical modelling, stochastic model updating, system identification, damage localization, sensor placement optimization is highly welcomed. Topics for potential contributions include but are not limited to: * Stochastic model updating * Highly efficient uncertainty propagation * Quantification of multiple uncertainty sources * Data-driven modelling * Imprecise probability * System identification * Sensor placement optimization * Digital twin MS08 Organizers: * Yanlin Zhao, University of Science and Technology Beijing, Beijing, China. E-mail: zhaoyanlin(a)ustb.edu.cn<mailto:zhaoyanlin@ustb.edu.cn> * Yongtao Bai, Chongqing University, Chongqing, China. E-mail: bai.yongtao(a)cqu.edu.cn<mailto:bai.yongtao@cqu.edu.cn> * Sifeng Bi, University of Strathclyde, Glasgow, United Kingdom. E-mail: Sifeng.bi(a)strath.ac.uk<mailto:Sifeng.bi@strath.ac.uk> * Michael Beer, Leibniz University Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * David Moens, Katholieke Universiteit Leuven, Leuven, Belgium. E-mail: david.moens(a)kuleuven.be<mailto:david.moens@kuleuven.be> ________________________________ MS09: Addressing Aleatoric and Epistemic Uncertainty with Imprecise Probabilities Abstract: Uncertainties appearing in engineering problems can be broadly classified as aleatoric and epistemic. The first group refers to intrinsic uncertainty stemming out of randomness, while the latter reflects lack of knowledge, conflicting sources of information, etc. One possibility for tackling such class of problems is resorting to imprecise probabilities which, in essence, can be interpreted as a collection of classical probabilistic models that account for aleatoric uncertainty and which are indexed by, e.g. interval variables that capture epistemic uncertainty. Although imprecise probabilities offer an extremely wide and flexible framework, its practical deployment is not devoid of challenges. Therefore, the aim of this MS is bringing together some of the latest developments on imprecise probabilities, including (but not limited to): * Different models for representing uncertainty such as, e.g. p-boxes, imprecise stochastic processes, distribution-free models, etc. * Novel formulations for coping with aleatoric and epistemic uncertainty, such as advanced simulation methods; surrogate models, etc. * Inverse uncertainty quantification in the presence of aleatoric and epistemic uncertainty. * Practical applications involving challenging engineering problems. MS09 Organizers: * Marcos Valdebenito, TU Dortmund University, Germany, marcos.valdebenito(a)tu-dortmund.de<mailto:marcos.valdebenito@tu-dortmund.de> * Michael Beer, Leibniz University Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Matthias Faes, TU Dortmund University, Germany. E-mail: matthias.faes(a)tu-dortmund.de<mailto:matthias.faes@tu-dortmund.de> * Zhan Kang, Dalian University of Technology, China. E-mail: zhankang(a)dlut.edu.cn<mailto:zhankang@dlut.edu.cn> * Chao Jiang, Hunan University, China. E-mail: jiangc(a)hnu.edu.cn<mailto:jiangc@hnu.edu.cn> ________________________________ MS14: Global Reliability Analysis of Complex Nonlinear Stochastic Dynamical Systems Abstract: The study of complex nonlinear stochastic dynamical systems is of paramount importance in both science and engineering. These systems exhibit a myriad of uncertainties, stemming from various sources such as material properties, external excitations, and inherent nonlinearities. These uncertainties introduce significant ambiguity into the response of systems, making precise analysis and design a formidable challenge. The coupling of nonlinearity and stochasticity necessitates a refined understanding of uncertainty propagation, which is indispensable for ensuring the safety and reliability of engineering systems. This symposium invites you to contribute to the discussion on the complexities of global reliability analysis in engineering structures. We welcome contributions that address, but are not limited to, the following themes: * Novel approaches for modeling and analyzing complex nonlinear systems subjected to stochastic influences. * Techniques for addressing the safety challenges associated with high-dimensional uncertainty inputs in engineering systems. * Methods to assess the propagation of stochastic effects in high-degree-of-freedom nonlinear systems. * Exploration of reliability analysis in emerging dynamic systems, such as those involving fractional-order differentiation or negative stiffness mechanisms. * Development of efficient and accurate methods for advanced global reliability assessment in complex systems. * Leveraging surrogate models and machine learning approaches to enhance reliability analysis in nonlinear stochastic dynamical systems. * Innovative strategies that combine physical understanding with data-driven approaches for more robust reliability analysis. * Techniques for precisely assessing low failure probabilities under rare events, critical in high-consequence systems. * Effective and efficient reliability methods in the context of reliability-based design optimization of complex nonlinear stochastic dynamical systems. * optimization of complex nonlinear stochastic dynamical systems. * We strongly encourage and warmly welcome contributions that address real-world applications and propose pioneering theories within disciplines such as civil engineering, aerospace engineering, construction engineering, mechanical engineering, energy engineering, automotive engineering, and other relevant fields. MS14 Organizers: * Meng-Ze Lyu, Tongji University, Shanghai, China. E-mail: lyumz(a)tongji.edu.cn<mailto:lyumz@tongji.edu.cn> * Jian-Bing Chen, Tongji University, Shanghai, China. E-mail: chenjb(a)tongji.edu.cn<mailto:chenjb@tongji.edu.cn> * Michael Beer, Leibniz Universität Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Hector Jensen, Universidad Técnica Federico Santa María, Valparaíso, Chile. E-mail: hector.jensen(a)usm.cl<mailto:hector.jensen@usm.cl> ________________________________ MS24: Quantification and Propagation of Uncertainties in Stochastic Dynamics: Computational Challenges and Solutions Abstract: This mini-symposium is dedicated to exploring the computational challenges of modeling uncertainties in dynamical systems and loads, with a particular focus on improving the assessment of structural reliability. The symposium will address various dimensions of uncertainty, including stochastic excitations, structural reliability, and the sophisticated task of accounting for uncertainties in input load modeling. The aim is to highlight the use of advanced computational techniques that play a central role in improving the accuracy and reliability of dynamical system models. It provides a platform for the exchange of insights and strategies between researchers and facilitates a comprehensive understanding of the complexity involved in dealing with uncertainties. The topics to be discussed include, but are not limited to: This mini-symposium invites researchers to contribute their expertise and insights to enhance collaborative discussions that improve the understanding and application of computational methods in the treatment of uncertainties in stochastic dynamics. * Reliability of structural systems: Exploring methods and concepts for assessing and improving the reliability of structural systems under dynamic conditions. * Stochastic excitations: Exploring the effects of stochastic excitations on dynamical systems and discussing methods to seamlessly incorporate uncertainties into modeling frameworks. * Accounting for uncertainties: Exploring strategies for robust consideration of uncertainties, with a focus on practical applications and implications for structural analysis. * Advanced computational techniques: Emphasizing the role of advanced computational techniques in mitigating the computational challenges posed by dynamical systems with uncertainties. This mini-symposium invites researchers to contribute their expertise and insights to enhance collaborative discussions that improve the understanding and application of computational methods in the treatment of uncertainties in stochastic dynamics. MS24 Organizers: * Marco Behrendt, Leibniz Universität Hannover, Hannover, Germany. E-mail: behrendt(a)irz.uni-hannover.de<mailto:behrendt@irz.uni-hannover.de> * Meng-Ze Lyu, Tongji University, Shanghai, China. E-mail: lyumz(a)tongji.edu.cn<mailto:lyumz@tongji.edu.cn> * Jian-Bing Chen, Tongji University, Shanghai, China. E-mail: chenjb(a)tongji.edu.cn<mailto:chenjb@tongji.edu.cn> * Michael Beer, Leibniz Universität Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> ________________________________ MS31: Uncertainty quantification in wind engineering Abstract: The field of wind engineering plays a pivotal role in ensuring the safety and resilience of structures against the dynamic wind forces. However, the inherent uncertainty associated with both the extreme wind loads and structural dynamic behaviors pose a significant challenge to accurate and reliable structural design. Illustrative instances of these uncertainties include the stochastic nature of wind excitations, challenges in accurately estimating the wind power spectrum, and uncertainties in structural aerodynamics. By bringing together researchers, practitioners, and industry professionals, this mini-symposium aims to foster collaboration and innovation in the pursuit of more robust and resilient wind engineering practices. Topics for potential contributions include but are not limited to: * Probabilistic Models: Presentations will delve into the development and application of probabilistic models to characterize the uncertainty in wind loads. Discussions will focus on incorporating meteorological data, turbulence models, and environmental factors into probabilistic frameworks; * Data-Driven Approaches: This session will explore innovative data-driven methods for uncertainty quantification, leveraging machine learning and big data analytics to enhance the accuracy of wind load predictions. Case studies highlighting the practical implementation of these approaches will be emphasized; * Sensitivity Analysis: Understanding the sensitivity of structures to uncertain parameters is crucial. This segment will cover sensitivity analysis techniques, assessing the impact of varying wind conditions, structural configurations, and terrain features on the overall uncertainty; * Industry Perspectives: Experts from both academia and industry will share insights into the practical implications of uncertainty quantification in wind engineering. Presentations will address real-world challenges faced by engineers and showcase successful applications of uncertainty-aware design. MS31 Organizers: * Xu Hong, Hefei University of Technology, Hefei, China. E-mail: xhong(a)hfut.edu.cn<mailto:xhong@hfut.edu.cn> * Genshen Fang, Tongji University, Shanghai, China. E-mail: 2222tjfgs(a)tongji.edu.cn<mailto:2222tjfgs@tongji.edu.cn> * Zhiqiang Wan, Northwestern Polytechnical University, China, E-mail: wanzhiqiang(a)nwpu.edu.cn<mailto:wanzhiqiang@nwpu.edu.cn> * Lunhai Zhi, Hefei University of Technology, Hefei, China. E-mail: zhilunhai1979(a)163.com<mailto:zhilunhai1979@163.com> * Michael Beer, Leibniz University Hannover, Germany, E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Seymour M.J. Spence, University of Michigan, US, E-mail: smjs(a)umich.edu<mailto:smjs@umich.edu> ________________________________ Institute for Risk and Reliability Callinstr. 34 30167 Hannover Germany www.irz.uni-hannover.de<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkoHCVFSAAdXCh9VCAIGSQwC…> To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkoHAlBWUAIFWR8AWFUISQwE…> in our newsletter system. powered by phpList<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkpWCAUBBAVSDR8BXQAFSQwP…>

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Next SIPTA Seminar: 31st January at 3pm Paris Time
by sdesterc 29 Jan '24

29 Jan '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 31st of January (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86165930800 For this new seminar, we are very happy to have Matthias Troffaes as our speaker. Matthias Troffaes is Professor in the Department of Mathematical Sciences, and is a past SIPTA president, as well as the co-author of the book Lower previsions. Matthias Troffaes is both interested in the theory and practice of imprecise probabilities, having made fundamental core contributions to the theories of imprecise probabilities, as well as having applied them to environmental or engineering issues such as land crop management or the wind industry. On the 31st of January, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Fundamentally finitary foundations for probability and bounded probability”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 31st of January, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=rBgehsbawVY See you at the seminar! Sébastien, Enrique and Jasper

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Re: Final Reminder: Upcoming Deadlines for REC2024 Conference
by Kreinovich, Vladik 28 Jan '24

28 Jan '24

FYI, papers using imprecise probabilities are very welcome at this series of conferences From: j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn> <j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn>> Sent: Wednesday, January 24, 2024 10:07 PM [cid:image002.png@01DA51F8.36111780] Dear Professor Kreinovich:, We trust this message finds you in good health and high spirits. As the deadline for key milestones approaches, we would like to remind you of the upcoming dates for the INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING 2024 (REC2024). (http://rec2024.com/) Revised Important Dates: One page abstract submission: January 31, 2024 Abstract notification of acceptance: February 15, 2024 Paper submission: May 31, 2024 Paper notification of acceptance: June 30, 2024 Final paper submission: July 31, 2024 Your contributions play a vital role in the success of REC2024, and we sincerely appreciate your commitment to the workshop. This extension was granted to ensure that all participants have ample time to refine their work and engage in meaningful discussions during the event. We kindly invite you to submit your abstract via email to submissionrec2024(a)gmail.com<mailto:submissionrec2024@gmail.com> with the subject line “REC2024 abstract submission”. Abstracts are strictly limited to ONE page. The abstract templates can be downloaded on the website (http://rec2024.com/) We understand the importance of your time and effort, and we thank you for your dedication to the REC2024 conference. Should you have any questions or concerns, do not hesitate to reach out to us. We look forward to your active participation in REC2024 and appreciate your continued support. Sincerely, REC2024 Chairs Yi Zhang Zhaohui Lu [cid:image003.jpg@01DA51F8.36111780]

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20-month research position in Human - AI interaction and medical decision support
by Davide Elio Ciucci 28 Dec '23

28 Dec '23

We are seeking a motivated researcher for a fully funded research fellowship position (Italian Assegno di Ricerca – Post-Doc Equivalent) on topics related to Decision Support, Human-AI Interaction and eXplainable Artificial Intelligence, with a special focus on biomedical informatics and medical decision making. The position regards a recently funded Italian PRIN PNRR project “InXAId - Ricerca Nel Campo dell'interazione con l'intelligenza Artificiale Spiegabile nel Processo Decisionale Medico” (Research In The Field Of Interaction With Explainable Artificial Intelligence In Medical Decision Making"), under the scientific supervision of Prof. Federico Cabitza (PI) and Prof. Silvana Quaglini. The candidate will join the MUDILAB research group (https://mudilab.disco.unimib.it/) at the University of Milano-Bicocca, in Milan, Italy and work in close collaboration with the BMI laboratory (www.labmedinfo.org <http://www.labmedinfo.org/>) of the University of Pavia, in Pavia, Italy. More details Position: Research Fellow / Assegnista di Ricerca (post-doc equivalent) Location: Department of Informatics, Systems and Communication of the University of Milano-Bicocca, Viale Sarca 336, 20126, Milan, Italy Application Deadline: 15th January 2024, 12.00 (Italian Time) Link to the Call (with instructions on how to apply): https://www.unimib.it/ateneo/gare-e-concorsi/cod-23a413 Duration: 20 Months, tentatively starting in March 2024. Gross Salary: 2,848.00 Euros per month (According to Italian Law, that amount is not subject to income tax, but only to retirement funds; thus, the net salary should be slightly higher than 2,000 Euros.) The selected researcher will advance Human-AI collaboration in medical decision-making. Key tasks include: Developing Explainable AI (XAI): Innovate in XAI and Uncertainty Quantification for clinical decision support systems (CDSS). Designing Human-AI Protocols: Implement and test protocols that enhance decision-making and trust in AI processes. Empirical Analysis: Conduct experiments and data analysis to evaluate AI system effectiveness and decision-making impact. Academic Outreach: Publish findings in scientific venues, attend conferences, and engage in interdisciplinary collaboration. Teamwork: Work with a diverse team, integrating insights from clinicians, computer scientists, biomedical engineers and psychologists. The postdoc will also supervise PhD students, master degree students, and work in collaboration with them. This role demands strong AI and HCI expertise, ideally with a focus on healthcare applications. The project offers an opportunity to significantly contribute to both academic research and practical healthcare advancements. Admission Criteria To participate in the call, a master degree in Computer Science (LM-18 ), or Computer Engineering (LM-32 ), or Statistical Science (LM-82 ), or Techniques and methods for the information society (LM-91), or Biomedical engineering (LM-21 ), or Cognitive science (LM-55), or equivalent foreign degree, is required. A PhD is not required, but recommended. Previous background in AI and HCI is also highly recommended. About the Laboratory The MUDILAB at UNIMIB mainly focuses on the development and evaluation of decision support systems and eXplainable AI - human interaction protocols. Currently, the lab has two faculty members, three funded PhD students and two post-doc. The founders, the head Prof. Federico Cabitza and Prof. Davide Ciucci, have both been counted among the world's top 2% of researchers in AI and medical informatics for years, according to the list curated by Stanford researchers. The MUDI group has a recent track record of previous publications in prestigious venues (CHI, Interact, AAAI, ECAI, …) and research projects on both fundamental and application-oriented research, in collaborations with several hospitals and academic partners. The BMI lab at UNIPV has a long tradition (dating back to the mid 80s, with its founder Prof. Mario Stefanelli) of research in biomedical informatics and AI in medicine. Led by prof. Silvana Quaglini, the lab is the biggest in Italy in its field and counts 7 faculty, 2 post-docs, and 5 PhD students (enrolled either in the Biomedical Informatics PhD @UNIPV or in the National PhD in AI - health&life sciences pillar). Both groups aim to provide its members a friendly environment with strong supervision, in which individuals can grow and let their full potential flourish. We regularly organize group meetings and gatherings outside the lab to keep the team motivated and encourage a good work culture. For more information, do not hesitate to contact Prof. Federico Cabitza, at federico.cabitza [at] unimib.it <http://unimib.it/>

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CFP IPMU 2024 Special session: Dynamic decision models under uncertainty and imprecision
by Davide Petturiti 27 Dec '23

27 Dec '23

Dear Colleague, We would like advertise the following special session: “Dynamic decision models under uncertainty and imprecision” we are organizing in the conference: 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024), 22-26 July 2024, Lisbon, Portugal (https://ipmu2024.inesc-id.pt/) We would be very grateful if Colleagues interested in sending a paper would communicate it to us, sending an email to: davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it> barbara.vantaggi(a)uniroma1.it<mailto:barbara.vantaggi@uniroma1.it> Below you can find all the information related to the special session. Best regards, Davide Petturiti and Barbara Vantaggi TITLE OF THE SPECIAL SESSION: Dynamic decision models under uncertainty and imprecision TOPICS: Topics of interest of the special session include, but are not limited to: * Decision making under uncertainty; * Games under ambiguous information; * Dynamic non-linear functionals and applications; * Portfolio selection under ambiguity; * Uncertainty and risk models under imprecise information. REVIEW PROCESS: Papers submitted to the special session will be treated as regular papers from both the perspective of the review process and of the proceedings. KEY DATES: Paper submission: February 23rd, 2024 Notification of acceptance: March 29th, 2024 Camera-ready paper submission: April 30th, 2024 Early/author registration: April 26th, 2024 Conference: July 22nd-26th, 2024 ORGANIZERS: Davide Petturiti, University of Perugia, Italy (davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it>) Barbara Vantaggi, Sapienza University of Rome, Italy (barbara.vantaggi(a)uniroma1.it<mailto:barbara.vantaggi@uniroma1.it>) [signature_4033098136] Davide Petturiti, Ph.D. Associate Professor Department of Economics University of Perugia Address: Via Pascoli 20, 06123 Perugia, Italy Phone: +39-075-585-5218 Fax: +39-075-585-5950 Email: davide.petturiti(a)unipg.it<mailto:davide.petturiti@dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti

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IPMU 2024 special session: Imprecision and uncertainty in image processing and analysis
by sdesterc 22 Dec '23

22 Dec '23

*** Please communicate to whoever might be interested *** Dear colleagues, We are organising a special session on "Imprecision and uncertainty in image processing and analysis” to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024) Lisbon (Portugal), July 22-26, 2024 (https://ipmu2024.inesc-id.pt/) Session topic and goal This session aims at gathering researchers interested and involved in uncertainty issues in processing and analysis of images, in various applications. The uncertainty (understood in a broad sense) considered here can pertain to data, to knowledge guiding their analysis, to processing steps and to the analysis results. Examples of possible topics include: * Representation models (including but not limited to deep learning ones), types of uncertainties (epistemic, aleatoric, impre-cision...). * Reasoning under uncertainties or conflict, approximate reasoning. * Integration of imprecision, uncertainty and inconsistency in the analysis process, either by repairing, by dealing with them (e.g. as metadata), by ignoring them, etc. * Evaluation of uncertain results, making them useful to the users. * Discussion about the necessity or opportunity to quantify uncertainty. * Applications involving some of the above topics The theoretical issues are at the core of many IPMU topics. Here the aimof the session would be to address them in the specific context of image analysis,and more generally spatial information processing Reviewing process All papers of the special session will undergo the same review and editing process as standard IPMU track papers. Dates Paper submission: February 23, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Isabelle Bloch, Sorbonne Université, CNRS, LIP6, France (isabelle.bloch(a)sorbonne-universite.fr) Sébastien Destercke, CNRS, Université de technologie de Compiègne, Heudiasyc, France (sebastien.destercke(a)hds.utc.fr) Roman Malinowski,Centre National D'Etudes Spatiales, France (roman.malinowski(a)cnes.fr) Olivier Strauss, Université de Montpellier, CNRS, LIRMM, France (olivier.strauss(a)umontpellier.fr)

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Fwd: IJCRS 24 - CFP
by Stefania Boffa 18 Dec '23

18 Dec '23

Dear colleagues, attached you can find the CFP for the next "Joint Conference on Rough Sets (IJCRS 2024)". *Main conference information: * Location: Halifax, Canada Date: May 17-20, 2024 Website: https://ijcrs24.cs.smu.ca Organized by the International Rough Set Society and the MSc program in Computing and Data Analytics (MCDA) at Saint Mary’s University Best wishes, Stefania Boffa

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CFP: special session on imprecise probabilities at IPMU'2024
by Enrique Miranda 15 Dec '23

15 Dec '23

Call for papers Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022) https://ipmu2024.inesc-id.pt/ Lisbon (Portugal), July 22-26, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making * algorithmic issues Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design Dates Paper submission: February 23, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Enrique Miranda (mirandaenrique(a)uniovi.es) University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es) University of Oviedo (Spain)

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Re: Important Update: Extension of Deadlines for REC2024
by Kreinovich, Vladik 13 Dec '23

13 Dec '23

FYI: papers using imprecise probabilities – e.g., p-boxes -- are always welcome at this series of workshops From: j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn> <j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn>> Sent: Tuesday, December 12, 2023 9:24 PM [cid:image002.png@01DA2D47.C34AD440] Dear Colleagues, We hope this message finds you well. We would like to express our gratitude for your interest and contributions to the INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING 2024 (REC2024) (http://rec2024.com/) After careful consideration and taking into account the feedback received from the community, we have decided to extend the deadlines for key milestones to ensure maximum participation and allow more time for the submission of quality contributions. Revised Important Dates: * One page abstract submission: January 31, 2024 * Abstract notification of acceptance: February 15, 2024 * Paper submission: May 31, 2024 * Paper notification of acceptance: June 30, 2024 * Final paper submission: July 30, 2024 We believe that this extension will provide all participants with the necessary time to refine their contributions and engage in thoughtful discussions during the workshop. We encourage you to take advantage of this additional time to submit your abstracts and papers. We kindly invite you to submit your abstract via email to submissionrec2024(a)gmail.com<mailto:submissionrec2024@gmail.com> with the subject line “REC2024 abstract submission”. Abstracts are strictly limited to ONE page. The abstract templates can be downloaded on the website (http://rec2024.com/) We appreciate your understanding and flexibility. If you have any questions or concerns, please feel free to reach out to us. Thank you for your continued support, and we look forward to your active participation in REC2024. Sincerely, REC2024 Chairs Yi Zhang Zhaohui Lu [cid:image003.jpg@01DA2D47.C34AD440]

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SIPTA School 2024: Save the date!
by Alexander Erreygers 11 Dec '23

11 Dec '23

To all interested researchers, young(er) and old(er), As announced at ISIPTA 2023, the SIPTA School 2024 will take place in Ghent, Belgium. More information about the programme, registration and other practical details will follow in January, via an announcement both to this mailing list and on the school’s website https://school24.sipta.org/. For now, we can already let you know that the school will last 5 days: from Monday the 12th of August 2024 till Friday the 16th. We look forward to welcoming all who are interested in learning more about imprecise probabilities! Kind regards, Floris Persiau and Alexander Erreygers

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Next SIPTA Seminar: 12th December at 3pm Paris Time
by sdesterc 05 Dec '23

05 Dec '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 12th December (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82027992604 For this new seminar, we are very happy to have Daniel Kuhn as our speaker. Daniel Kuhn is Professor of Operations Research at the College of Management of Technology at EPFL, where he holds the Chair of Risk Analytics and Optimization. Daniel Kuhn research interests cover a wide range of optimisation problems, with a specific interest in optimisation under uncertainty and distributionally robust optimisation, a topic that directly connects to handling sets of probabilities. On the 12th of December, at 15:00 paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "On the Interplay of Optimal Transport and Distributionally Robust Optimization”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=M676ZQ8uZvE See you at the seminar! Sébastien, Enrique and Jasper

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Re: The 8th International Conference on Belief Functions (BELIEF 2024)
by Kreinovich, Vladik 28 Nov '23

28 Nov '23

FYI, belief functions are an important particular case of imprecise probabilities From: Thierry Denoeux <thierry.denoeux(a)utc.fr<mailto:thierry.denoeux@utc.fr>> Sent: Monday, November 27, 2023 10:49 PM -- ****** Call for Papers ****** https://bfasociety.org/Belief2024/<https://antiphishing.vadesecure.com/v4?f=ZURHSDhnY0huQ2tPS3VZai6lZy1SHhe47J…> The 8th International Conference on Belief Functions (BELIEF 2024) Dates: September 4th-6th, 2024 Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/<https://antiphishing.vadesecure.com/v4?f=ZURHSDhnY0huQ2tPS3VZai6lZy1SHhe47J…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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SIPTA seminar on the 28th November: Causality and credal networks.
by sdesterc 22 Nov '23

22 Nov '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 28th of November (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85152847934 For this new seminar, we are very happy to have Alessandro Antonucci as our speaker. Alessandro Antonucci is a senior researcher at IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale) in Lugano. Alessandro is a very strong expert in uncertainty reasoning, focusing on graphical models, their inference and interpretation. Very well-known for his work on graphical models using imprecise probabilities, some of his most recent works explore the links between the notion of causality and imprecise probabilistic models. On the 28h of November, at 15:00 Paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "Structural Causal Models are (Solvable by) Credal Networks”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 28th of November, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=mhKYP8BMQNM&t See you at the seminar! Sébastien, Enrique and Jasper

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Falsifiability
by Marco Zaffalon 21 Nov '23

21 Nov '23

Dear SIPTAnts, I’m not sure this is “news”, but I’d still like to raise a point. It’s for those of you who care to connect probability to the real world. The point is that science needs falsifiability. And purely probabilistic models aren’t really falsifiable, they’re at most improbable. This appears to be a major reason why we have all these theories of probability, and the related communities, and there’s no way to prove anyone wrong. Which is good for our careers, and less so with regard to progress. Contrast this with structural causal modelling. When we put forward a causal graph (a theory), any of its arcs is either right or wrong. This we can often test experimentally, or by other means. We correct the model, re-test and iterate, eventually consolidating our model of the world. Probability still plays a role there, although one of secondary importance. So it seems to me that the scientific method is based on causality rather than probability. I guess I’m not saying anything new. I just wanted to make the point; to me it seemed something worth reflecting on. Bests Marco

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Fwd: GAMM Annual meeting 2024 - section on uncertainty quantification, call for abstracts
by Enrique Miranda 15 Nov '23

15 Nov '23

Dear Siptians, They send me information about a section on uncertainty quantification at the GAMM annual meeting organised by Kerstin Lux from TU Eindhoven and Lorenzo Tamellini from CNR in Pavia, telling me that they welcome the participation of researchers on imprecise probabilities. Information can be found below. Best wishes, Quique ==================== Dear colleagues, We are happy to announce that the submission of abstracts to the uncertainty quantification section of the upcoming GAMM annual meeting**has opened: https://jahrestagung.gamm.org/annual-meeting-2024/94th-annual-meeting/ <https://urldefense.com/v3/__https://jahrestagung.gamm.org/annual-meeting-20…> * *When? *March 18-22, 2024. * *Where?* Magdeburg, Germany. * *Deadline for submission of abstracts?* December 1st, 2023. We are excited to announce our four keynote speakers: * *Omar Knio (KAUST, Saudi Arabia):* “Dynamical and neural network approaches to downscaling of noisy and partial observations” * *Linus Seelinger (Karlsruhe Institute of Technology, Germany):* “UM-Bridge: Bridging the Gap between Advanced UQ and Advanced Models from Prototype to HPC” * *Elisabeth Ullmann (TU Munich, Germany):* "Rare event estimation with PDE-based models" * *Carlo Marcati (University of Pavia, Italy):* "Neural network surrogates for elliptic PDEs" We are looking forward to seeing many of you in Magdeburg. It will be a great chance to connect to the GAMM Activity Group on uncertainty quantification and discuss the latest advances in the field. Best regards, Kerstin Lux-Gottschalk (TU Eindhoven, The Netherlands), Lorenzo Tamellini (CNR IMATI, Italy)

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European Workshop on Uncertainty in Machine Learning (WUML 2024)
by Yusuf Sale 04 Nov '23

04 Nov '23

Dear colleagues, on February 19-21, 2024, we are organizing the European “Workshop on Uncertainty in Machine Learning” (WUML 2024) in Munich, Germany. The last two editions of this workshop were held in Ghent in 2023 and Compiegne in 2021 with the last edition in Ghent attracting roughly 60 participants. With this email, we kindly invite you to attend WUML 2024. Like the previous workshop in Ghent, this is an informal event without a paper submission system. Every participant will have the choice to give a talk, present a poster, or just attend the workshop without a presentation. We have been able to collect some funding to cover the costs for coffee breaks and lunches, so we are happy to announce that attending the workshop will not involve any registration fee. Preliminary information about WUML 2024 can be found under the following link: https://sites.google.com/view/wuml2024/ We start on February 19th around noon and finish on February 21st with lunch. After lunch, the rooms will still be available for informal discussions and project meetings. If you like to attend, we ask you to confirm your presence before January 19th, 2024, using the following form: https://sites.google.com/view/wuml2024/registratio <https://sites.google.com/view/wuml2024/registration>n In case of any further questions at this stage, please contact us! Finally, do not hesitate to forward this invitation to any of your colleagues or PhD students who might be interested in attending. Kind regards, Eyke Hüllermeier Viktor Bengs Yusuf Sale Marcel Wever

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[jobs] Postdoc Uncertainty in Artificial Intelligence at TU Eindhoven
by Cassio de Campos 30 Oct '23

30 Oct '23

The UAI group of TU Eindhoven seeks a postdoc researcher in AI/ML to work in the general area of uncertainty in AI, and in particular related to probabilistic machine learning and graphical models. The postdoc will also be largely involved in the project NWO Perspectief Personalized Oncology involving decision support systems for better care. We offer a 3-year contract with salary in scale 10 of the Dutch CAO (min. 3877 max. 5090 euro per month, plus year-end bonus of 8.3% and annual vacation pay of 8%). More details about the post can be found via: https://jobs.tue.nl/nl/vacature/postdoc-uncertainty-in-artificial-intellige… More details about the group can be found via: https://uai.win.tue.nl and https://dai.win.tue.nl We will screen applications and run interviews while the post is open, and we will close the position when a suitable candidate is found, so do not wait to apply. Please share this with colleagues if you think they might be interested, as well as our other call for postdocs: https://jobs.tue.nl/nl/vacature/machine-learning-postdoc-positions-1034634.… best regards, cassio. -- Cassio de Campos (c.decampos(a)tue.nl) "It's not (only) about the result, it's about how we reached it." (This email, its contents and attachments are confidential and only for private use of its intended addressees, unless explicitly agreed otherwise among all involved. Any other use shall be considered as a breach of agreement. If received in error, please do not disclose the contents to anyone, and immediately notify the sender by return e-mail and delete this e-mail and any attachments from your systems. No liability is accepted resulting from or relating to this communication.)

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Next SIPTA seminar: Ryan Martin on falsifying statistical models (18/10 at 3pm Paris Time)
by sdesterc 16 Oct '23

16 Oct '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 18th October (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82973185259 For this new seminar, we are very happy to have Ryan Martin as our speaker. Ryan Martin is a professor at the Department of Statistics, North Carolina State University. Ryan Martin is in general interested in the foundations of statistics and probabilities. He is well known, among other things, for having proposed inferential models, a very generic framework allowing to make calibrated statistical statements through the use of non-additive measures. On the 18th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=mhKYP8BMQNM&t See you at the seminar! Sébastien, Enrique and Jasper

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Next SIPTA seminars (3pm Paris time): 18th October (statistical validity), 28th November (Causality), 12th December (Robust optimisation)
by sdesterc 09 Oct '23

09 Oct '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminars on imprecise probabilities (IP) for the next 3 months, so that you can book the associated time slots. These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. All seminars will be at 3pm Paris time. The seminars are the following: * On the 18th October, Ryan Martin (Department of Statistics, North Carolina State University) will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability” * On the 28th November, Alessandro Antonucci (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, IDSIA) will talk about “Structural Causal Models are (Solvable by) Credal Networks” * On the 12th December, Daniel Kuhn (College of Management of Technology at EPFL) will talk about “On the Interplay of Optimal Transport and Distributionally Robust Optimization” For moire details, you can check out the abstract and zoom link details on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. Best regards Enrique, Jasper and Sébastien

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Next SIPTA seminar: 27 September 3Pm (Paris time), Dominique Guyonnet on Risk Analysis
by sdesterc 25 Sep '23

25 Sep '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 27th of September (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82399096997 For this new seminar, we are very happy to have Dominique Guyonnet as our speaker. Dominique Guyonnet is a reasearcher and expert at BRGM, France’s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. He has worked on numerous risk analysis cases involving multiple stakeholders, for which he used imprecise probability techniques. On the 27th of September, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Application of uncertainty theory in the field of environmental risks”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 27th of September, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=bwGMvRUmUmo&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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Next SIPTA seminar: 27 September 3Pm (Paris time), Dominique Guyonnet on Risk Analysis
by sdesterc 20 Sep '23

20 Sep '23

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 27th of September (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82399096997 For this new seminar, we are very happy to have Dominique Guyonnet as our speaker. Dominique Guyonnet is a reasearcher and expert at BRGM, France’s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. He has worked on numerous risk analysis cases involving multiple stakeholders, for which he used imprecise probability techniques. On the 27th of September, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Application of uncertainty theory in the field of environmental risks”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 27th of September, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=bwGMvRUmUmo&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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PhD position in imprecise probabilities
by Faes, Matthias 13 Sep '23

13 Sep '23

Dear colleagues, Would it be possible to distribute the open PhD position on the propagation of imprecise probabilities through expensive numerical models, that is currently open for hiring at the Chair for Reliability Engineering at TU Dortmund University (see description in attachment). Best wishes Matthias Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist ausschließlich für den Adressaten bestimmt. Sollten Sie nicht der für diese E-Mail bestimmte Adressat sein, unterrichten Sie bitte den Absender und vernichten Sie diese Mail. Vielen Dank. Unbeschadet der Korrespondenz per E-Mail, sind unsere Erklärungen ausschließlich final rechtsverbindlich, wenn sie in herkömmlicher Schriftform (mit eigenhändiger Unterschrift) oder durch Übermittlung eines solchen Schriftstücks per Telefax erfolgen. Important note: The information included in this e-mail is confidential. It is solely intended for the recipient. If you are not the intended recipient of this e-mail please contact the sender and delete this message. Thank you. Without prejudice of e-mail correspondence, our statements are only legally binding when they are made in the conventional written form (with personal signature) or when such documents are sent by fax.

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FW: IPMU 2024 announcement
by Kreinovich, Vladik 02 Sep '23

02 Sep '23

FYI, both uncertainty and probabilistic methods are highlighted topics. Paper related to imprecise probabilities are always welcome at this series of conferences. From: Christophe Marsala Sent: Friday, September 1, 2023 3:18 AM Dear All, Attached you can find the CFP for the next IPMU 2024 that will be held in Lisbon (Portugal) next year. Best regards, Christophe Marsala ----------------------------------------------- 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Topics and Scope of the Conference Theory, Methods and Tools: Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. IMPORTANT DATES - Special session proposals: November 24th, 2023 - Notification of acceptance special sessions: December 1st, 2023 - Paper submission: February 23rd, 2024 - Notification of acceptance: March 29th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 26th, 2024 - Conference: July 22nd-26th, 2024 General Chair João Paulo Carvalho (Portugal) Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Publicity Chair Christophe Marsala (France) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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Request for references on real-world applications of credal sets and interval expectation
by Quaeghebeur, Erik 01 Jul '23

01 Jul '23

Dear SIPTA Community, For a course on Uncertainty Representations and Reasoning, I'd like to compile a list of references (papers, book chapters, websites) which discuss (not necessarily as their main topic) real-world applications of credal sets and interval expectation (aka lower and upper previsions). With real-world, I mean those where the application was effectively put in practice. So not toy examples, or (possibly elaborately) worked out potential applications. It does include applications in other scientific domains and not just industry. The role of credal sets or interval expectation does not need to be ‘big’ or prominent, as long as it is there. I would be grateful if you could send me any such references in a private reply, and in particularly those about applications you were involved in yourself. The papers will get visibility among at least the students of the course, year after year. ;-) I will share the list I compile with others upon request. Best regards, Erik -- https://ac.erikquaeghebeur.name

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FW: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024
by Kreinovich, Vladik 28 Jun '23

28 Jun '23

FYI, papers using imprecise probabilities are always welcome at this series of conferences 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22-26, 2024 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Topics and Scope of the Conference Theory, Methods and Tools Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. IMPORTANT DATES Special session proposals: November 24th, 2023 Notification of acceptance special sessions: December 1st, 2023 Paper submission: February 23rd, 2024 Notification of acceptance: March 29th, 2024 Camera-ready paper submission: April 30th, 2024 Early/author registration: April 26th, 2024 Conference: July 22nd-26th, 2024 Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA)

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Next SIPTA seminar: 16th June (Friday), 15h CEST, Alexander Erreygers on One way to define an imprecise-probabilistic version of the Poisson process
by sdesterc 12 Jun '23

12 Jun '23

Dear SIPTiAns and IP enthusiasts, We are delighted to announce our upcoming eight SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The tenth seminar will take place on the 16th of June (Friday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85217156757. For this tenth seminar, we are very happy to have Alexander Erreygers as our speaker. Alexander Erreygers is currently postdoctoral researcher at Ghent University, and has been an active researcher in the field of imprecise probabilities. In particular, he has made many core contribution to the study of stochastic processes when transition probabilities become imprecise. On the 16th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "One way to define an imprecise-probabilistic version of the Poisson process”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 16th of June, at 15:00 CEST, and join us for the occasion. You can find more information at https://sipta.org/events/sipta-seminars/ And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=1RvysxPT4jA&t. See you at the seminar! Sébastien, Enrique and Jasper

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ISIPTA'2023 information
by Enrique Miranda 05 Jun '23

05 Jun '23

Dear fellow SIPTAns, We are happy to inform you that the list of accepted contributions at ISIPTA'2023 is now available at Accepted Papers - ISIPTA 2023 <https://isipta23.sipta.org/accepted-papers/> In addition, you can also see the preliminary program of the conference at Program - ISIPTA 2023 <https://isipta23.sipta.org/program/> Interested? Then remember that you can still register until June 15, using the following link: Registration - ISIPTA 2023 <https://isipta23.sipta.org/registration/> Looking forward to meeting you all in Oviedo. Best regards, Enrique Miranda On behalf of the ISIPTA'2023 PCBoard

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Re: IUKM 2023 -- deadline extended to June 15!
by Kreinovich, Vladik 03 Jun '23

03 Jun '23

FYI, papers related to all kinds of uncertainty are welcome at this series of conferences including imprecise probabilities ******************************************************** IUKM 2023: The Tenth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING Kanazawa, JAPAN, November 02-04, 2023 Conference website: https://www.jaist.ac.jp/IUKM/IUKM2023/ Submission link: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FIUKM2023 Submission deadline: June 15, 2023 -- extended! ---------------------------------------------------- The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2023) will be held in Kanazawa, Japan during 02-04 November, 2023, and be jointly organized by Japan Advanced Institute of Science and Technology (JAIST), University of Science (Vietnam National University Ho Chi Minh City), Vietnam, and Osaka University, Japan. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The authors are invited to submit their full papers by May 15, 2023. The submissions will be peer-reviewed for originality and scientific quality. Authors are requested to prepare their papers in the Springer format. Submissions should not exceed 12 pages and must be submitted as PDF electronically through the conference's CMT submission page. List of Topics Relevant topics for the IUKM 2023 Symposium include (but are not limited to) the following: - Theory and Methodology * Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods * Modelling uncertainty and inconsistency in big data * Learning and reasoning with uncertainty * Logics for reasoning under uncertainty * Uncertainty modelling in machine learning and deep learning * Information fusion and knowledge integration in uncertain environments * Decision making under various types of uncertainty * Aggregation operators for decision making * Copulas for dependence modelling * Granular and soft computing * Computational intelligence - Application * Data mining and knowledge discovery * Multi-agent reinforcement learning * Ontology engineering and Semantic Web * Privacy preserving data analysis * Intelligent data analysis and modelling * Agents and argumentation * Natural language processing * Medical informatics and bioinformatics * Ranking and recommendation systems * Big data and cloud computing * Social network analysis and mining * Sensor fusion * System identification and modelling * Diagnosis and reliability * Decision support systems * Kansei/affective engineering * Service computing * Engineering management * Supply chain management * Environmental management * Economics and econometrics * Statistics and Applications ------------------------------------------- Publication As done in previous editions, the proceedings of IUKM 2023 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Conference. _______________________________________________ General Chairs: Masahiro Inuiguchi (Osaka University, Japan) Youji Kohda (Japan Advanced Institute of Science and Technology, Japan) Program Chairs: Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam) Katsuhiro Honda (Osaka Prefecture University, Japan)

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Open PhD position at Leibniz University Hannover
by Jingyao Su 25 May '23

25 May '23

The Institut für Erdmessung (IfE) at Leibniz Universität Hannover (Germany)/DFG funded Research Unit (FOR5455) invites applications for the position of a Research Assistant (Doctoral Candidate, m/f/d) on *Distribution-free Uncertainty Description for Terrestrial Laser Scanner-based Areal Deformation Analysis (Salary Scale 13 TV-L, 100 %)* The position starts October 1st 2023 and is limited to 4 years. In the DFG funded Research Unit (FOR5455) “Deformation Analysis Based on Terrestrial Laser Scanner Measurements” (TLS-Defo, www.tlsdefo.de) relevant topics in TLS based deformation analysis will be investigated in a consortium of five universities (Uni Bonn, TU Munich, Leibniz University Hannover, KIT Karlsruhe, and TU Vienna). Project 5 "Distribution-free Uncertainty” will use intervals and sets to derive observation intervals for terrestrial laser scanner (TLS) measurements based on data analysis of terrestrial laser scans. Next, a concept has to be developed to propagate them to TLS point clouds. Subsequently, uncertainty regions of each TLS point can be derived as well as concepts for deformation analysis by intersection of these regions over subsequent epochs. For more information please consult the job listing at https://www.ife.uni-hannover.de/en/institute/job-opportunities The application deadline is June 4, 2023.

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Open CIFRE-funded PhD position in Human-Centered Artificial Intelligence
by fredericpichon 22 May '23

22 May '23

* TITLE Assistance in reasoning under inconsistencies for uncertainty resolution * THEME Human-Centered Artificial Intelligence (HCAI) * KEYWORDS Consistency, Conflict, Uncertainty, Fusion, Belief Functions, Dempster-Shafer Theory, Anomaly, Knowledge Engineering, Human-Systems Integration. * STARTDATE AND DURATION September/October 2023, 36 months * FUNDING CIFRE scholarship (junior engineer position during the thesis) * LOCATION The work will possibly be carried out on several sites located in France: at the CS GROUP Research Lab (Paris-Saclay); at the CS GROUP offices in La Garde in the Toulon area; within the Laboratory of Computer Engineering and Automation of Artois (Béthune). * SUBJECT The objective of this thesis, situated in the field of human-centered artificial intelligence, is to develop a formal and tooled approach for reasoning assistance in the presence of inconsistent information, framed in belief function theory. More detail available here: https://www.lgi2a.univ-artois.fr/spip/en/open_positions/ * SUPERVISION Prof. Frédéric Pichon (frederic.pichon(a)univ-artois.fr <mailto:frederic.pichon@univ-artois.fr>), Laboratory of Computer Engineering and Automation of Artois (LGI2A) Dr. Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group France Dr. Edwige Quillerou-Grivot (edwige.quillerou(a)inrs.fr <mailto:edwige.quillerou@inrs.fr>), FlexTech CentraleSupélec – ESTIA Chair. * PROFILE SOUGHT The candidate must hold a master degree or an engineer degree in computer science or related field, and *must be a national of EU countries, the United Kingdom or Switzerland*. Knowledge in artificial intelligence will be an asset, as well as an awareness of cognitive sciences. Qualities required to successfully complete a doctoral program such as curiosity, creativity, autonomy, critical thinking, and enthusiasm will be necessary. * APPLICATION Send *before June 12, 2023,* an e-mail, with all supervisors of the thesis in copy, containing the following documents in a single pdf file: your CV, a cover letter, your transcripts (with rankings) of the current year (master or equivalent) and previous years, and, optionally, up to two letters of recommendation.

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Re: 6th School on Belief Functions and their Applications: Call for Participation
by Kreinovich, Vladik 22 May '23

22 May '23

FYI -----Original Message----- From: Van-Nam HUYNH Sent: Sunday, May 21, 2023 8:57 AM ######################################################### BFTA 2023 - Call for Participation The 6th School on Belief Functions and their Applications October 27 — Nov 1, 2023 Japan Advanced Institute of Science and Technology, Ishikawa, Japan https://bfasociety.org/BFTA2023/ ######################################################### The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty. The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science. Important dates: • May 1, 2023: Registration opens • July 31, 2023: Deadline for early-bird registration • September 15, 2023: Deadline for registration Financial support: Financial support will be offered by BFAS to some students for attending the school. Details of the application procedure will be announced soon. For further information, contact: bfta2023(a)bfasociety.org Organizing committee: • Van-Nam Huynh (Chair), JAIST, Japan • Thierry Denœux, Université de technologie de Compiègne, France • Anne-Laure Jousselme, CS Group Research Lab, France • Fréderic Pichon, Université d'Artois, France

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Re: IUKM 2023, 2-4 November 2023, Kanazawa, Japan [Extended deadline]
by Kreinovich, Vladik 22 May '23

22 May '23

FYI -----Original Message----- From: Van-Nam HUYNH Sent: Sunday, May 21, 2023 8:33 AM [Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties is highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— IUKM 2023: The Tenth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING Kanazawa, JAPAN, November 02-04, 2023 Conference website: https://www.jaist.ac.jp/IUKM/IUKM2023/ Submission link: https://cmt3.research.microsoft.com/IUKM2023 Submission deadline: May 31, 2023 [Extended deadline] ———————————————————————————————————————————————————— The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2023) will be held in Kanazawa, Japan during 02-04 November, 2023, and be jointly organized by Japan Advanced Institute of Science and Technology (JAIST), University of Science (Vietnam National University Ho Chi Minh City), Vietnam, and Osaka University, Japan. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The authors are invited to submit their full papers by May 31, 2023. The submissions will be peer-reviewed for originality and scientific quality. Authors are requested to prepare their papers in the Springer format. Submissions should not exceed 12 pages and must be submitted as PDF electronically through the conference's CMT submission page. List of Topics Relevant topics for the IUKM 2023 Symposium include (but are not limited to) the following: — Theory and Methodology • Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods • Modelling uncertainty and inconsistency in big data • Learning and reasoning with uncertainty • Logics for reasoning under uncertainty • Uncertainty modelling in machine learning and deep learning • Information fusion and knowledge integration in uncertain environments • Decision making under various types of uncertainty • Aggregation operators for decision making • Copulas for dependence modelling • Granular and soft computing • Computational intelligence — Application • Data mining and knowledge discovery • Multi-agent reinforcement learning • Ontology engineering and Semantic Web • Privacy preserving data analysis • Intelligent data analysis and modelling • Agents and argumentation • Natural language processing • Medical informatics and bioinformatics • Ranking and recommendation systems • Big data and cloud computing • Social network analysis and mining • Sensor fusion • System identification and modelling • Diagnosis and reliability • Decision support systems • Kansei/affective engineering • Service computing • Engineering management • Supply chain management • Environmental management • Economics and econometrics • Statistics and Applications ——————————————————————————————————————————— Publication As done in previous editions, the proceedings of IUKM 2023 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Conference. Authors of selected accepted IUKM 2023 papers will be also invited to submit substantially extended and updated version of their work for possible inclusion in a special issue of Annals of Operations Research. _______________________________________________ General Chairs: Masahiro Inuiguchi (Osaka University, Japan) Youji Kohda (Japan Advanced Institute of Science and Technology, Japan) Program Chairs: Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam) Katsuhiro Honda (Osaka Prefecture University, Japan)

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2nd Call for papers: GRID Workshop @ KR2023
by Sihem Belabbes 17 May '23

17 May '23

** Apologies for multiple postings ** CALL FOR PAPERS The First International Workshop on Graphical Reasoning with Imperfect Data, collocated with KR2023 (https://imsva91-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%…) Website: GRID2023 [1] INTRODUCTION The quality of real-world data is a major issue in many application domains, especially in data-intensive AI applications. As a matter of fact, the presence of inconsistent, incomplete, inaccurate or uncertain data may not only hamper problem modeling and solving, but also the process of explaining the solutions. More theoretical approaches, on the other hand, have provided graphical tools for principled knowledge representation and reasoning that are much more transparent than opaque real-world AI applications. Indeed, graphical models such as Bayesian networks, knowledge graphs and ontologies have long been used to facilitate the representation of and the reasoning with imperfect data. By providing a visual dimension, they contribute to increasing the understanding of the problem, and thus help practitioners, users (lay and expert) as well as engineers in designing solutions that improve trust, efficiency and transparency. The GRID workshop aims at bringing the applied and the theoretical approaches together for the benefit of both. Real-world applications can gain in explainability through the use of graphical models, while addressing the intrinsic challenges of poor quality data can improve the understanding and use of graphical models. Small workshops are often organised around one unifying theme, be it a methodological theme or a challenge. We here focus on both a methodological theme and a challenge. Our approach will bring together 1) a variety of methods drawing on graphical representation and 2) a variety of application domains dealing with different aspects of imperfect data. The varieties generate the necessary distance between approaches to provide opportunities for cross-pollination, while similarities of methods and domains make for a sufficient closeness guaranteeing mutual relevance. TOPICS This workshop welcomes submissions dealing with the general topics of graphical models and imperfect data and their integration, from the perspective of knowledge representation and reasoning. A non-exhaustive list of keywords includes: + Bayesian nets + Markov nets + Credal nets + Dung-style argumentation + Knowledge graphs + Ontologies + Data visualization tools + Inconsistent data + Uncertain data + Data integration + Multi-source data + Heterogeneous data + Consistency maintenance + Real-world data + Data imputation + Missing data + Spurious data + Data loss + Outliers + Adversarial data SUBMISSION GUIDELINES Papers should be formatted according to the LNCS style and submitted as a single PDF file. We welcome submissions of theoretical and practical work including early-stage research ideas, methods, tools and applications. We welcome short papers (2-6 pages), and long papers (up to 12 pages). All accepted papers will be considered for an oral presentation. The reviewing process will be light and driven more by relevance to the workshop and the paper's potential to foster discussion than by the technical maturity of the contribution. Workshop submissions and camera-ready versions will be handled by EasyChair. Please submit at: https://easychair.org/my/conference?conf=grid2023 IMPORTANT DATES - May 31, 2023: Submission deadline - July 4, 2023: Paper notification - July 31, 2023: Camera-ready papers due PROCEEDINGS The accepted papers will appear on the workshop website and the online proceedings will be non-archival. The copyright will remain with the authors. ORGANIZING COMMITTEE Sihem Belabbes, LIASD, IUT de Montreuil, Université Paris 8, France. Jürgen Landes, University of Milan, Italy. PROGRAM COMMITTEE Leila Amgoud (CNRS, Université Toulouse 3, FR), Martin Adamčík (Assumption University, TH), Paolo Baldi (University of Milan, IT), Sadok Ben Yahia (Tallinn University of Technology, EE), Salem Benferhat (Université d'Artois, FR), Meghyn Bienvenu, (CNRS, Université de Bordeaux, FR), Richard Booth (Cardiff University, UK), Camille Bourgaux (Ecole Normale Supérieure, FR), Katarina Britz (Stellenbosch University, SA), Giovanni Casini (ISTI-CNR, IT), Esther Anna Corsi (University of Milan, IT), Madalina Croitoru (Université de Montpellier, FR), Glauber De Bona (Universidade de São Paulo, BR), Francesco De Pretis (University of Modena and Reggio Emilia, IT), Andreas Herzig (CNRS, Université Toulouse 3, FR), Saïd Jabbour (Université d'Artois, FR), Mardi Jankowitz (University of South Africa, SA), Souhila Kaci (Université de Montpellier, FR), Myriam Lamolle (Université Paris 8, FR), Marie-Jeanne Lesot (Sorbonne Université, FR), Quentin Manière (Universität Leipzig, DE), Nédra Mellouli (Université Paris 8, FR), Tommie Meyer (University of Cape Town, SA), Petrus Potgieter (University of South Africa, SA), Soroush Rafiee Rad (ILLC Universiteit van Amsterdam, NL), Adrien Revault d'Allonnes (Université Paris 8, FR), Kai Sauerwald (FernUniversität in Hagen, DE), Karima Sedki (Université Paris 13, FR), Tom Sterkenburg (Ludwig-Maximilians-Universität Munich, DE), Chris Swanepoel (University of South Africa, SA), Karim Tabia (Université d'Artois, FR), Matthias Thimm (FernUniversität in Hagen, DE), Ivan Varzinczak (Université Paris 8, FR), Srdjan Vesic (CNRS, Université d'Artois, FR). CONTACT belabbes@1 and juergen_landes@2 1: iut.univ-paris8.fr 2: yahoo.de Links: ------ [1] https://jlandes.wordpress.com/graphical-reasoning-with-imperfect-data-grid-…

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FW: ECONVN'2024: second call for papers
by Kreinovich, Vladik 06 May '23

06 May '23

FYI, uncertainty is one of the highlighted topics ********************************************* SECOND CALL FOR PAPERS The Seventh International Econometric Conference of Vietnam - ECONVN2024 Ho Chi Minh City, Vietnam, January 09-11, 2024 Main theme: PARTIAL IDENTIFICATION IN ECONOMETRICS AND RELATED TOPICS KEYNOTE ADDRESS by Professor Jean TIROLE, NOBEL Laureate in Economics We have witnessed recent developments in the partial identification approach in econometrics since the early 1990s. Therefore, the Seventh International Econometric Conference of Vietnam (ECONVN2024) aims to address the latest ideas and developments in econometrics for economics and related topics, emphasising the benefits and challenges of using partially identified models in empirical research. Selected papers will be published in the Springer series "Studies in Systems, Decision, and Control" (Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago) and will be submitted for consideration in Web of Science (ISI). At the Opening Session of ECONVN2024 on January 9, 2024, a keynote address will be delivered by Professor Jean Tirole, Nobel Laureate in economics and honorary chairman of the Foundation JJ Laffont-Toulouse School of Economics (TSE) and of the Institute for Advanced Study in Toulouse (IAST), and scientific director of TSE-Partnership. There will be a discussion with invited speakers, researchers, and policymakers. For a more comprehensive overview of Professor Jean Tirole's works, please click the following link: https://www.tse-fr.eu/people/jean-tirole. Venue: Ho Chi Minh University of Banking (HUB), 36 Ton That Dam Street, District 1, Ho Chi Minh City, Vietnam Format: A Hybrid Conference with both Online and Offline Conference Date: January 9-11, 2024 Conference Website: hcm-hn.conference-econ-buh-bav-rist.vn Point of Contact: vietnam.buh.econvn(a)gmail.com<mailto:vietnam.buh.econvn@gmail.com> Tel: (84) 28.382.102.38 The Conference welcomes research contributions to all aspects of partial identification in econometrics, with special emphasis on, but not limited to different techniques: * Partial identification * Bayesian statistics and computation * Uncertainty formalisms * Modelling uncertainty and inconsistency in big data * Uncertainty modelling in machine learning and deep learning * Information fusion and knowledge * Aggregation operators * Copulas for dependence modelling * Information fusion and knowledge integration in uncertain environments * Etc. and their applications to economics and econometrics. Publications: Accepted papers must be presented at the Conference which will be published (a few months after the conference dates) in the Springer Volume, Series: STUDIES IN SYSTEMS, DECISION AND CONTROL (Economics, Social and Life Science Classifications) Indexed by SCOPUS, SCImago (submitted for Web of Science) Important Dates: * Paper submission deadline: July 31, 2023. * Notification of acceptance: October 1, 2023. * Camera-Ready Manuscript: October 31, 2023. Instructions for Submissions: * Get your account on EasyChair (then click on Conferences, on ECONVN2024) and submit your PDF files to EasyChair. Link: https://easychair.org/conferences/?conf=econvn2024 * Make sure your PDF files have Authors' EMAILS on them for correspondence. Registration Fee 1. Presenters * Presenter + publication USD 200 (non-residents)/VND 7,000,000 (residents) * Student + publication USD 100 (non-residents)/VND 4,800,000 (residents) 2. Participants: * General USD 100 (non-residents)/VND 2,300,000 (residents) * Student USD 30 (non-residents)/VND 1,000,000 (residents) *Authors from Ho Chi Minh University of Banking (HUB) and Co-organizers are discounted by 50%. Plenary Invited Speakers * Arnab Bhattacharjee (UK) (https://www.niesr.ac.uk/people/bhattacharjee) * Boualem Djehiche (Sweden) (https://www.kth.se/profile/boualem) * Calla Wiemer (Philippines) (http://www.macroforasia.com/index.php/calla-wiemer) * Christian Bontemps (France) (https://www.tse-fr.eu/people/christian-bontemps) * Daniel S. Hain (Denmark) (https://vbn.aau.dk/en/persons/126725) * Donald Poskitt (Australia) (https://research.monash.edu/en/persons/donald-poskitt) * Hung T. Nguyen (USA & Thailand) (https://scholar.google.co.th/citations?user=-LKhbM8AAAAJ&hl=en) * Marc Hallin (Belgium) (https://drive.google.com/file/d/1X9Thhd8_n5tdiq4EfDRm9yaD8viS6CoR/view?usp=…) * Poom Kumam (Thailand) (https://poomkumam.wordpress.com) * Tonghui Wang (USA) (https://math.nmsu.edu/people/facultydirectory/tonghui-tony-wang.html) * Vladik Kreinovich (USA) (https://www.cs.utep.edu/vladik/) * William Briggs (USA) (https://www.wmbriggs.com/) * Woraphon Yamaka (Thailand) (https://wyamaka.wordpress.com/) General Chair Doan Thanh Ha (Chair) Nguyen Duc Trung (Co-chair) Nguyen Tran Phuc Ha Thi Thieu Dao Organizing Committee CHAIR: NGUYEN NGOC THACH Secretary: Diem Pham Thi Thuy Scientific Committee CHAIR: HUNG T. NGUYEN (USA & Thailand) Members: Akira Namatame (Japan) Arnab Bhattacharjee (UK) Bernadette Bouchon-Meunier (France) Boris Choy (Australia) Boualem Djehiche (Sweden) Calla Wiemer (Philippines) Cathy Chen (Taiwan) Christian Bontemps (France) Daniel S. Hain (Denmark) Daniel Schmidt (Australia) David Trafimov (USA) Donald Poskitt (Australia) Duan Jin-Chuan (Singapore) Poom Kumam (Thailand) Galit Shmueli (Taiwan) Irina Perfilieva (Czech Republic) John Harding (USA) Katsuhiro Sugita (Japan) Marc Hallin (Belgium) Marc Paolella (Switzerland) Mark Schaffer (UK) Michael Eichter (Netherlands) Michael Wolf (Switzerland) Michio Sugeno (Japan) Nguyen Duc Trung (Vietnam) Nguyen Ngoc Thach (Vietnam) Niels Haldrup (Denmark) Paulo Fraga Martins Maio (Finland) Polina Khrennikova (UK) Poom Kumam (Thailand) Radim Jirousek (Czech Republic) Rakesh Gupta (Australia) Sa-At Niwitpong (Thailand) Tonghui Wang (USA) Vilem Novak (Czech Republic) Vladik Kreinovich (USA) Vyacheslav Yukalov (Russia) William Briggs (USA) Mark Schaffer (UK) Janusz Kacprzyk (Poland) Emmanuel Haven (Canada) Polina Khrennikova (UK) Toru Kitagawa (UK) Woraphon Yamaka (Thailand) Ying Chen (Singapore) Asian Journal of Economics and Banking (AJEB)

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Re: FUZZ-IEEE 2023: Call for Late Breaking Papers
by Kreinovich, Vladik 25 Apr '23

25 Apr '23

FYI, papers relating fuzzy and probability are always welcome at this series of conference From: FUZZ-IEEE 2023 <cmiller(a)conferencecatalysts.com<mailto:cmiller@conferencecatalysts.com>> Sent: Monday, April 24, 2023 7:11 AM View this email in your browser<https://mailchi.mp/185ffba574be/fuzz-ieee_2023_cfp_398850-402718?e=d2d06c74…> [https://mcusercontent.com/a56289c418698825973a992ba/images/a9b514f6-4be1-99…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> Call For Late Breaking Papers LB papers must be 2-4 pages long, describing new research in any of the areas/topics of the FUZZ-IEEE 2023, see https://fuzz-ieee.org/call-for-papers and https://fuzz-ieee.org/special-sessions. While LB papers are not fully peer reviewed (they will be checked for fitness and appropriateness with the conference), and hence won’t be included in the Proceedings of the FUZZ-IEEE 2023, they will be published with their own ISBN. To submit, simply go to the CMT website and select the Late Breaking track. LB papers are due April the 30th, notifications will be made by May the 20th, and final papers are due June the 1st. Late Breaking papers will be presented at the Conference, orally or as a poster, during the days of the conference. Submit Your Paper!<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/_compresseds/10bac909-2…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> FUZZ-IEEE 2023 will be held in the Songdo International City which is a Free Economic Zone located approximately 15 minutes away by car from the Incheon International Airport and an hour from Seoul, making it a pleasant and convenient venue for business as well as for touring the Seoul metropolitan area. It is rising as one of the hottest places in Korea in terms of tourism, culture, leisure, MICE (Meeting,Incentive trip, Convention, Exhibition & Event), and shopping. This complex cultural space provides sharing of happiness to all visitors. Conference Sponsors [https://mcusercontent.com/a56289c418698825973a992ba/images/57d131b6-787c-18…] <https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/images/7f97418e-be1d-27…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/images/579e94c2-b3e0-de…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/images/fb627925-7e2a-8b…] <https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/images/8104e9ba-9bce-02…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [https://mcusercontent.com/a56289c418698825973a992ba/images/3c266659-3688-88…]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [Facebook]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> Facebook<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [Website]<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> Website<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> [Email]<mailto:cmiller@conferencecatalysts.com> Email<mailto:cmiller@conferencecatalysts.com> Copyright © 2023 IEEE, All rights reserved. You are receiving this email because you have previously participated in FUZZ-IEEE. IEEE Privacy Policy<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> Want to change how you receive these emails? You can update your preferences<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…> or unsubscribe from this list<https://conferencecatalysts.us7.list-manage.com/track/click?u=a56289c418698…>. Conference Catalysts, LLC · 2720 NW 6th St · Gainesville, FL 32609 · USA

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Re: Call for Papers: IEEE Symposium on Computational Intelligence for Engineering Solutions 2023
by Kreinovich, Vladik 25 Apr '23

25 Apr '23

FYI, papers using imprecise probabilities are always welcome at this series of conferences From: Institute for Risk and Reliability <beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>> Sent: Monday, April 24, 2023 6:02 PM [Institute for Risk and Reliability Logo] [University of Hannover Logo] Call for Papers: IEEE Symposium on Computational Intelligence for Engineering Solutions 2023 Dear Colleague, we would like to kindly invite you to submit a paper to the IEEE Symposium on Computational Intelligence for Engineering Solutions – CIES 2023 which we are organizing within the IEEE Symposium Series on Computational Intelligence, Mexico City, Mexico, December 5 – 8, 2023 https://attend.ieee.org/ssci-2023/ An outline of our Symposium is posted here: https://attend.ieee.org/ssci-2023/ieee-symposium-on-computational-intellige… We would very much appreciate if you could accept our invitation. Paper submission will be facilitated through the conference webpage in due course. Deadline for full paper submission: June 30, 2023 The IEEE SSCI 2023 co-locates multiple exciting symposia at one single location, providing a unique opportunity to encourage cross-fertilization and collaboration in all areas of CI. The IEEE SSCI 2023 features a large number of keynotes, tutorials, and special sessions. Please accept our apologies if you receive this call for papers more than once through different channels. Sincerely, Michael Beer, Leibniz Universität Hannover / University of Liverpool / Tongji University (beer(a)irz.uni-hannover.de<x-webdoc://19036C53-9FDD-41D1-8FE8-6712BA6C1D29/beer@irz.uni-hannover.de>) Vladik Kreinovich, The University of Texas at El Paso (vladik(a)utep.edu<mailto:vladik@utep.edu>) Rudolf Kruse, Otto von Guericke Universität of Magdeburg (kruse(a)iws.cs.uni-magdeburg.de<mailto:kruse@iws.cs.uni-magdeburg.de>) ________________________________ Institute for Risk and Reliability Callinstr. 34 30167 Hannover Germany www.irz.uni-hannover.de<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkoHCVFSAAdXCh9VCAIGSQwC…>

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ISIPTA 2023: Call for Posters reminder (deadline 1 May)
by Enrique Miranda 22 Apr '23

22 Apr '23

** *Apologies if you receive multiple announcements* *** The Thirteenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2023) Oviedo, 11-14 July, 2023. In our call for papers we stated that there is “Uncertainty modelling beyond probability” and tried to convince you that ISIPTA 2023 is a good place for discussing such matters. The paper submission deadline has passed, but you can still present your work at ISIPTA, because poster abstract submission is open. These poster abstracts are intended for discussing preliminary results and open questions, or for bringing published results to the attention of the ISIPTA audience. Each accepted poster abstract will be announced in a short plenary spotlight presentation, and the accompanying poster will be presented at length during one of the discussion sessions. Given the prominent role of poster presentations at ISIPTA, these sessions provide you with a genuine opportunity for presenting your work to the ISIPTA audience. The deadline for poster submission is May 1. You can submit at any time before that, though, and we will provide you with a decision within two weeks. Not convinced yet? Then perhaps the following features can persuade you. Basic info:ISIPTA 2023 will take place in hotel ACForum in Oviedo, from July 11 to July 14, 2023. Additional information is available on our website: https://isipta23.sipta.org/ Scope:The ISIPTA conferences are devoted to robustness and imprecision in uncertainty modelling, inference and decision making, focusing in particular on uncertainty frameworks that extend or replace the probabilistic one. Invited speakers:ISIPTA 2023 will feature keynote talks by Gert de Cooman (Ghent University, Belgium), Marta Kwiatkowska (University of Oxford, United Kingdom) and Michel Grabisch (Université Paris I- Panthéon Sorbonne). In addition, a homage to the late Professor Terrence Fine will take place. Concept: Each accepted contribution is presented anddiscussed, in two separate sessions. Presentations are short and always plenary. Detailed explanations and discussions will take place in a poster session. Registration: Registration is open. The deadline for early registration is May 20, while the extended registration deadline is June 15. The early registration fees are 450 for regular, 250 for students and 150 for accompanying people. Atmosphere: ISIPTA conferences are characterised by a friendly and cooperative style, a strong emphasis on in-depth discussion and openness to new ideas. We hope that you too will enjoy and contribute to this unique atmosphere. Awards:ISIPTA 2023 will hand out an IJAR Young Researcher Award (for excellent research in the area of imprecise probabilities) and several poster awards. The IJAR award is sponsored by the International Journal of Approximate Reasoning. The deadline for applying for the IJAR Young Researcher Award is May 20; the rules for application are available on our website. Anyone who presents a poster (either for a paper or poster abstract) is eligible for the poster prizes. In addition, Artificial Intelligence Journal is sponsoring 4 fellowships of 750 euros for PhD or master students. We look forward to receiving your contribution. The ISIPTA 2023 Steering Committee F. Cozman (University of Sao Paulo, Brazil) J. De Bock (Ghent University, Belgium) E. Miranda (University of Oviedo, Spain) I.Montes (University of Oviedo, Spain) E. Quaeghebeur (Technical University of Eindhoven, The Netherlands) B. Vantaggi (University La Sapienza of Rome, Italy) *

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New SIPTA blog post
by Henna Bains 15 Apr '23

15 Apr '23

Dear SIPTA community, On May 20th 2022, after five years at the Institute of Engineering and Computational Mechanics at the University of Stuttgart, Dominik Hose defended their PhD thesis entitled “Possibilistic Reasoning with Imprecise Probabilities: Statistical Inference and Dynamic Filtering”. Would you like to find out more about Dominik's research? Head over to the latest SIPTA blog post <https://sipta.org/blog/thesis-dominik/>, where Dominik gives an overview of his thesis. Are you interested in writing a post for the SIPTA blog? Get in touch with us at blog(a)sipta.org <mailto:blog@sipta.org>. Kind regards, SIPTA blog editors

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Fwd: Registration to the Summer School "Risk and Uncertainty in Economics, Insurance and Finance" (Bielefeld, July 3-7, 2023) is now open
by Thomas Augustin 14 Apr '23

14 Apr '23

Forwarding with best wishes from Munich, Thomas Augustin Von: "Ferrari, Giorgio" <giorgio.ferrari(a)uni-bielefeld.de> --- Dear All, this is to inform you that the registration to the Summer School "Risk and Uncertainty in Economics, Insurance and Finance" (https://sites.google.com/view/summer-school-23/overview ) is now open: https://sites.google.com/view/summer-school-23/registration Please note that the deadline for registration is May 7. All the important dates are listed here: https://sites.google.com/view/summer-school-23/important-dates Details about the courses offered during the Summer School can be found here: https://sites.google.com/view/summer-school-23/lectures A selected number of short contributed talks by participants is also planned. Please send a proposed title and abstract of your talk during the registration procedure. Acceptance will be communicated on May 21st. Looking forward to having you in Bielefeld in July! Best wishes, Giorgio Ferrari and Frank Riedel -------------------------------------------------------------------- St-net mailing list -- st-net(a)lists.math.uni-sb.de To unsubscribe send an email to st-net-leave(a)lists.math.uni-sb.de -------------------------------------------------------------------- Dies ist das ST-NET, der (moderierte) Mail-Verteiler der DMV-Fachgruppe Stochastik e.V. Weitere Informationen finden Sie auf unserer Homepage: http://www.fg-stochastik.de This is ST-NET, the (moderated) mailing list of the DMV-Fachgruppe Stochastik e.V. For further information, please refer to our homepage: http://www.fg-stochastik.de Please note the guidelines for posting at http://www.fg-stochastik.de/beitraege-verschicken.html --------------------------------------------------------------------

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CoProD'2023: deadline extended to April 20
by Kreinovich, Vladik 10 Apr '23

10 Apr '23

Papers related to imprecise probabilities are always welcome at this series of workshops ********************************************************* 16th International Workshop on Constraint Programming and Decision Making CoProD'2023 https://www.cs.utep.edu/interval-comp/coprod23.html May 30, 2023, Cincinnati, Ohio, USA. CoProD'2023 is the sixteenth edition of CoProD http://coprod.constraintsolving.com/. It will be held on May 30, 2023, right before the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, USA, May 31 - June 2, 2023, https://nafips2023.com/ Constraint programming techniques are important components of intelligent systems. They constitute a declarative and efficient methodology to represent and solve many practical problems. They have been applied successfully to a number of fields, such as scheduling of air traffic, software engineering, networks security, chemistry, and biology. Despite the proved usefulness of these techniques, they are still under-utilized in real-life applications. One reason is the perceived lack of effective communication between constraint programming experts and domain practitioners about constraints, in general, and their use in decision making, in particular. Objectives of CoProD: * To present advances in constraint solving, optimization, and related topics; * To develop a network of researchers interested in constraint techniques, in particular researchers and practitioners that use numeric and symbolic approaches (or a combination of them) to solve constraint and optimization problems; * To address the gap between the great capacity of these techniques and their limited use. CoProD aims at encouraging presentation and discussion of on-going work. In particular, please note that there is room for presentation of ideas, as opposed to results only. It also aims at facilitating networking opportunities as well as cross-fertilization between the approaches used in the different attending communities. Therefore, besides active researchers in decision making and constraint programming techniques, we expect to have a wide attendance and participation of domain scientists -- whose input is highly valued in this workshop. Proceedings / Publication: Submissions are expected in the form of extended abstracts of at least 2 pages and ideally no more than 5 pages (a few more pages is OK), formatted using the Springer edited book format, style file svmult.cls and an example of using this file (not related to CoProD) are attached to the workshop website. Submissions have to be sent in pdf format AND LaTeX format to mceberio [at] utep [dot] edu and vladik [at] utep [dot] edu. A contact author should be specified in the submission email. The deadline for submissions is April 20, 2023 (Let us know if you need a few more days). Authors of accepted abstracts are expected to participate and present their work at the workshop. Participation / Submission: Participation is encouraged from people doing research in the area of decision making as well as from domain scientists. Submissions of ideas are also encouraged. Important dates: April 20, 2023: paper submission April 30, 2023: notification of acceptance May 8, 2023: camera-ready copy of abstracts due May 30, 2022: workshop Organizers: Martine Ceberio, the University of Texas at El Paso, mceberio(a)utep.edu<mailto:mceberio@utep.edu> Vladik Kreinovich, the University of Texas at El Paso, vladik(a)utep.edu<mailto:vladik@utep.edu> The previous editions of CoProD featured invited talks by highly recognized experts (listed in alphabetic order): * Purushotham Bangalore, CIS department, University of Alabama at Birmingham, USA * Martin Berz, Michigan State University, USA * Stefano Bistarelli, University of Perugia, Italy * Alessandro Dal Palu, University of Parma, Italy * Rina Dechter, Information and Computer Sciences, University of California Irvine, USA * Scott Ferson, Applied Bioinformatics, New York, USA * Juan Carlos Figueroa, Universidad Distrital de Bogota, Colombia * Patty Hough, Sandia National Lab, Livermore, California, USA * Luc Jaulin, Ecole Nationale Superieure des Techniques Avancees (ENSTA) Bretagne, France * Weldon Lodwick, University of Colorado Denver, Denver, Colorado, USA * Kyoko Makino, Michigan State University, USA * Francois Modave, Texas Tech Health Center, El Paso, Texas, USA * Tiago Oliveira, National Institute of Informatics (NII) in Tokyo, Japan. * Enrico Pontelli, New Mexico State University, Las Cruces, New Mexico, USA * James Raynolds, College of Nanoscale and Engineering, SUNY Albany, USA * Siegfried Rump, Hamburg University of Technology and Waseda University, Japan * Ken Satoh, National Institute of Informatics (NII) in Tokyo, Japan * Bart Selman, CS department, Cornell University, USA * Yaroslav D. Sergeyev, Università della Calabria, Italy * Sergey Shary, Novosibirsk State University, Russia * Young Jun Son, The University of Arizona, Tucson, USA * Xiaobai Sun, Duke University, USA * Alfredo Vaccaro, University of Sannio, Department of Engineering, Benevento, Italy * Leticia Velazquez, The University of Texas at El Paso, USA

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Thesis proposals in robust AI related fields
by sdesterc 07 Apr '23

07 Apr '23

Dear Colleagues, Our team is offering various PhD proposals, whose topics concern * Uncertainties and imprecision in Spatial Interpolations for Urban Risk Mapping: the PhD student would integrate the HOUSES national project, that aims at handling severe uncertainties in geostatistics, notably to assess pollutants levels in water and grounds. * Robustness in Explainable AI: the PhD student would join our junior professor chair and develop robust explanation methods for AI predictive models, as well as explanation methods for uncertain predictions. * Robust event detection: the PhD student would join the SAFE AI chaire and develop statistical learning method that would detect events with pre-specified statistical guarantees, notably by working on how to obtain calibrated predictions for such tasks. The first retained case studies would concern obstacle detection for aid-decision in partially or fully automated vehicles, a domain on which our laboratory has significant expertise. For each of these, we seek highly motivated students having a strong background in mathematics or computer science, with a focus on a topic connected to the PhD proposals (e.g., statistics, machine learning, …) Potentially interested candidates can find more details on the page https://www.hds.utc.fr/~sdesterc/dokuwiki/. Best regards Sébastien -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ====================================

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are you interested in submitting a paper to the special issue on Decision Making and Optimization under Uncertainty? let us know ASAP
by Kreinovich, Vladik 05 Apr '23

05 Apr '23

Dear Friends, Based on several recommendations, the MDPI open-access journal Mathematics http://www.mdpi.com/journal/mathematics contacted us to edit a special issue on Decision Making and Optimization under Uncertainty. The plan is to welcome papers related to all kinds of uncertainty: probabilistic (in particular, related to imprecise probabilities), interval, fuzzy, etc. The planned deadline for submissions is November 1, 2023. For the journal to better plan this issue, the journals asks all editors of special issues to provide a tentative list of possible submissions, with tentative title and list of authors - including their affiliation and emails. If you are interested in submission, please let us know as soon as possible, by April 18, 2023. To help you make your decision, here are two important facts about the journal: * Latest impact factor for Mathematics is 2.592 * This open access journal, this means that authors have to pay publication fee if the paper is accepted. Yours Martine Ceberio, Christoph Lauter, and Vladik Kreinovich.

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ISIPTA 2023: Call for Posters (deadline 1 May)
by Enrique Miranda 03 Apr '23

03 Apr '23

** *Apologies if you receive multiple announcements* *** The Thirteenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2023) Oviedo, 11-14 July, 2023. In our call for papers we stated that there is “Uncertainty modelling beyond probability” and tried to convince you that ISIPTA 2023 is a good place for discussing such matters. The paper submission deadline has passed, but rest assured, you can still present your work at ISIPTA, because poster abstract submission is open. These poster abstracts are intended for discussing preliminary results and open questions, or for bringing published results to the attention of the ISIPTA audience. Each accepted poster abstract will be announced in a short plenary spotlight presentation, and the accompanying poster will be presented at length during one of the discussion sessions. Given the prominent role of poster presentations at ISIPTA, these sessions provide you with a genuine opportunity for presenting your work to the ISIPTA audience. The deadline for poster submission is May 1. You can submit at any time before that, though, and we will provide you with a decision within two weeks. Not convinced yet? Then perhaps the following features can persuade you. Basic info:ISIPTA 2023 will take place in hotel ACForum in Oviedo, from July 11 to July 14, 2023. Additional information is available on our website: https://isipta23.sipta.org/ Scope:The ISIPTA conferences are devoted to robustness and imprecision in uncertainty modelling, inference and decision making, focusing in particular on uncertainty frameworks that extend or replace the probabilistic one. Invited speakers:ISIPTA 2023 will feature keynote talks by Gert de Cooman (Ghent University, Belgium), Marta Kwiatkowska (University of Oxford, United Kingdom) and Michel Grabisch (Université Paris I- Panthéon Sorbonne). In addition, a homage to the late Professor Terrence Fine will take place. Concept: Each accepted contribution is presented anddiscussed, in two separate sessions. Presentations are short and always plenary. Detailed explanations and discussions will take place in a poster session. Registration: Registration is open. The deadline for early registration is May 20, while the extended registration deadline is June 15. The early registration fees are 450 for regular, 250 for students and 150 for accompanying people. Atmosphere: ISIPTA conferences are characterised by a friendly and cooperative style, a strong emphasis on in-depth discussion and openness to new ideas. We hope that you too will enjoy and contribute to this unique atmosphere. Awards:ISIPTA 2023 will hand out an IJAR Young Researcher Award (for excellent research in the area of imprecise probabilities) and several poster awards. The IJAR award is sponsored by the International Journal of Approximate Reasoning. The deadline for applying for the IJAR Young Researcher Award is May 20; the rules for application are available on our website. Anyone who presents a poster (either for a paper or poster abstract) is eligible for the poster prizes. In addition, Artificial Intelligence Journal is sponsoring 4 fellowships of 750 euros for PhD or master students. We look forward to receiving your contribution. The ISIPTA 2023 Steering Committee F. Cozman (University of Sao Paulo, Brazil) J. De Bock (Ghent University, Belgium) E. Miranda (University of Oviedo, Spain) I.Montes (University of Oviedo, Spain) E. Quaeghebeur (Technical University of Eindhoven, The Netherlands) B. Vantaggi (University La Sapienza of Rome, Italy) *

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Call for Papers: papers using imprecise probabilities are welcome at this series of conferences
by Kreinovich, Vladik 29 Mar '23

29 Mar '23

CALL FOR PAPERS The Seventh International Econometric Conference of Vietnam - ECONVN2024 Ho Chi Minh City, Vietnam, January 09-11, 2024 Main theme: PARTIAL IDENTIFICATION IN ECONOMETRICS AND RELATED TOPICS We have witnessed recent developments in the partial identification approach in econometrics since the early 1990s. Therefore, the Seventh International Econometric Conference of Vietnam (ECONVN2024) aims to address the latest ideas and developments in econometrics for economics and related topics, emphasising the benefits and challenges of using partially identified models in empirical research. Selected papers will be published in the Springer series "Studies in Systems, Decision, and Control" (Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago) and will be submitted for consideration in Web of Science (ISI). Venue: Ho Chi Minh University of Banking (HUB), 36 Ton That Dam Street, District 1, Ho Chi Minh City, Vietnam Format: A Hybrid Conference with both Online and Offline Conference Date: January 9-11, 2024 Conference Website: hcm-hn.conference-econ-buh-bav-rist.vn Point of Contact: vietnam.buh.econvn(a)gmail.com<mailto:vietnam.buh.econvn@gmail.com> Tel: (84) 28.382.102.38 The Conference welcomes research contributions to all aspects of partial identification in econometrics, with special emphasis on, but not limited to different techniques: Partial identification Bayesian statistics and computation; Uncertainty formalisms; Modelling uncertainty and inconsistency in big data; Uncertainty modelling in machine learning and deep learning; Information fusion and knowledge; Aggregation operators; Copulas for dependence modelling; Information fusion and knowledge integration in uncertain environments; Etc. and their applications to economics and econometrics. Publications: Accepted papers must be presented at the Conference which will be published (a few months after the conference dates) in the Springer Volume, Series: STUDIES IN SYSTEMS, DECISION AND CONTROL (Economics, Social and Life Science Classifications) Indexed by SCOPUS, SCImago (submitted for Web of Science) Important Dates: ● Paper submission deadline: July 31, 2023. ● Notification of acceptance: October 1, 2023. ● Camera-Ready Manuscript: October 31, 2023. Instructions for Submissions: ● Get your account on EasyChair (then click on Conferences, on ECONVN2024) and submit your PDF files to EasyChair. Link: https://easychair.org/conferences/?conf=econvn2024 ● Make sure your PDF files have Authors' EMAILS on them for correspondence. Registration Fee 1. Presenters ● Presenter + publication USD 200 (non-residents)/VND 7,000,000 (residents) ● Student + publication USD 100 (non-residents)/VND 4,800,000 (residents) 2. Participants: ● General USD 100 (non-residents)/VND 2,300,000 (residents) ● Student USD 30 (non-residents)/VND 1,000,000 (residents) *Authors from Ho Chi Minh University of Banking (HUB) and Co-organizers are discounted by 50%. Plenary Invited Speakers Arnab Bhattacharjee (UK) Christian Bontemps (France) William Briggs (USA) Boualem Djehiche (Sweden) Daniel S. Hain (Denmark) Marc Hallin (Belgium) Toru Kitagawa (UK) Vladik Kreinovich (USA) Poom Kumam (Thailand) Hung T. Nguyen (USA & Thailand) Tonghui Wang (USA) Calla Wiemer (Philippines) Woraphon Yamaka (Thailand) General Chair Doan Thanh Ha (Chair) Nguyen Duc Trung (Co-chair) Nguyen Tran Phuc Ha Thi Thieu Dao Organizing Committee CHAIR: NGUYEN NGOC THACH Secretary: Diem Pham Thi Thuy Scientific Committee CHAIR: HUNG T. NGUYEN (USA & Thailand) Members: Akira Namatame (Japan) Arnab Bhattacharjee (UK) Bernadette Bouchon-Meunier (France) Boris Choy (Australia) Boualem Djehiche (Sweden) Calla Wiemer (Philippines) Cathy Chen (Taiwan) Christian Bontemps (France) Daniel S. Hain (Denmark) Daniel Schmidt (Australia) David Trafimov (USA) Duan Jin-Chuan (Singapore) Poom Kumam (Thailand) Galit Shmueli (Taiwan) Irina Perfilieva (Czech Republic) John Harding (USA) Katsuhiro Sugita (Japan) Marc Hallin (Belgium) Marc Paolella (Switzerland) Mark Schaffer (UK) Michael Eichter (Netherlands) Michael Wolf (Switzerland) Michio Sugeno (Japan) Nguyen Duc Trung (Vietnam) Nguyen Ngoc Thach (Vietnam) Niels Haldrup (Denmark) Paulo Fraga Martins Maio (Finland) Polina Khrennikova (UK) Poom Kumam (Thailand) Radim Jirousek (Czech Republic) Rakesh Gupta (Australia) Sa-At Nipong (Thailand) Tonghui Wang (USA) Vilem Novak (Czech Republic) Vladik Kreinovich (USA) Vyacheslav Yukalov (Russia) William Briggs (USA) Mark Schaffer (UK) Janusz Kacprzyk (Poland) Emmanuel Haven (Canada) Polina Khrennikova (UK) Toru Kitagawa (UK) Woraphon Yamaka (Thailand) Ying Chen (Singapore)

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PhD position in Deep Neural Networks with Dempster Shafer Theory
by Sébastien Ramel 28 Mar '23

28 Mar '23

Description PhD position in Deep Neural Networks with Dempster Shafer Theory (Fully funded) Place: LGI2A, Université d’Artois, Béthune, France Starting date: October 2023 Candidate before May 2023 Duration : 3 years Website: https://www.lgi2a.univ-artois.fr/spip/en/open_positions/open-position-25 Subject Deep neural networks (DNNs) refer to predictive models that exploit multiple layers of artificial neurons to compute a prediction [1,4]. In the original version, the layers are sequential and each neuron in a layer is connected with neurons in the previous layer. Many other alternative architectures have been proposed to adapt DNNs to solve specific and complex problems. On the other hand, a theory called Dempster-Shafer theory of belief functions, or theory of evidence [15], has emerged as a rich and flexible generalization of the Bayesian probability theory, able to deal with imperfect (uncertain, imprecise, …) information. It is notably used in a growing number of applications such as classification (e.g. [2]), clustering (e.g. [3,7]) or information fusion (e.g. [5,13]). Recent works [6,16,17] have shown the interest of enriching a DNN with an additional distance-based Dempster Shafer layer [2] for predicting belief functions. These belief functions can be of great interest to represent a reality as faithfully as possible, for example to perform a partial classification [8], i.e. decisions in favor of a group of classes. The main idea of this thesis is to develop such deep evidential networks in more depth by exploiting methods developed at LGI2A allowing one to consider finer knowledge about the quality [12, 14] and the dependence of information [11], or the ignorance in predictions [9,10]. Two applications are envisaged: Image analysis from drones and fish population analysis. To apply, please send the following documents grouped in one pdf file: your CV, your grades for the current and past years, a motivation letter, and at most two recommendations (optional) to sebastien.ramel(a)univ-artois.fr, frederic.pichon(a)univ-artois.fr and david.mercier(a)univ-artois.fr References [1] C. M. Bishop. Pattern recognition and machine learning, 5th Edition. Information science and statistics. Springer, 2007. [2] T. Denoeux. A neural network classifier based on dempster-shafer theory. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(2):131–150, 2000. [3] T. Denœux. Calibrated model-based evidential clustering using bootstrapping. Information Science, 528:17–45, 2020. [4] I. Goodfellow, Y. Bengio and A. Courville: Deep Learning (Adaptive Computation and Machine Learning), MIT Press, Cambridge (USA), 2016. [5] L. Huang, T. Denoeux, P. Vera, and S. Ruan. Evidence fusion with contextual discounting for multi-modality medical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 401–411. Springer, 2022. [6] L. Huang, S. Ruan, P. Decazes, and T. Denoeux. Lymphoma segmentation from 3D PET-CT images using a deep evidential network. International Journal of Approximate Reasoning, Volume 149, pages 39-60, 2022. [7] F. Li, S. Li, and T. Denœux. Combining clusterings in the belief function framework. Array, 6:100018, 2020. [8] L. Ma and T. Denœux. Partial classification in the belief function framework. Knowledge-Based Systems, 214: article 106742, 2021. [9] P. Minary, F. Pichon, D. Mercier, E. Lefèvre and B. Droit. Evidential joint calibration of binary SVM classifiers, Soft Computing, pp 4655-4671, Vol. 23, No. 13, 2019. [10] S. Ramel, F. Pichon and F. Delmotte. A reliable version of choquistic regression based on evidence theory, Knowledge-Based Systems, KBS, pp 106252, Vol. 205, 2020. [11] F. Pichon. Canonical decomposition of belief functions based on Teugels' representation of the multivariate Bernoulli distribution. Information Sciences, 428:76-104, 2018. [12] F. Pichon, D. Dubois, and T. Denœux. Relevance and truthfulness in information correction and fusion. International Journal Approximate Reasoning, 53(2):159–175, 2012. [13] F. Pichon, D. Dubois, and T. Denoeux. Quality of information sources in information fusion. In Éloi Bossé and Galina L. Rogova, editors, Information Quality in Information Fusion and Decision Making, pages 31–49. Springer, 2019. [14] F. Pichon, D. Mercier, E. Lefèvre, and F. Delmotte. Proposition and learning of some belief function contextual correction mechanisms. International Journal Approximate Reasoning, 72:4–42, 2016. [15] G. Shafer. A mathematical theory of evidence, volume 42. Princeton university press, 1976. [16] Z. Tong, P. Xu, and T. Denoeux. An evidential classifier based on dempster-shafer theory and deep learning. Neurocomputing, 450:275–293, 2021. [17] Z. Tong, P. Xu, and T. Denœux. Fusion of evidential cnn classifiers for image classification. In International Conference on Belief Functions, pages 168–176. Springer, 2021.

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Call for papers: GRID Workshop @ KR2023
by Sihem Belabbes 22 Mar '23

22 Mar '23

** Apologies for multiple postings ** CALL FOR PAPERS The First International Workshop on Graphical Reasoning with Imperfect Data, collocated with KR2023 (https://imsva91-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%…) Website: GRID2023 [1] INTRODUCTION The quality of real-world data is a major issue in many application domains, especially in data-intensive AI applications. As a matter of fact, the presence of inconsistent, incomplete, inaccurate or uncertain data may not only hamper problem modeling and solving, but also the process of explaining the solutions. More theoretical approaches, on the other hand, have provided graphical tools for principled knowledge representation and reasoning that are much more transparent than opaque real-world AI applications. Indeed, graphical models such as Bayesian networks, knowledge graphs and ontologies have long been used to facilitate the representation of and the reasoning with imperfect data. By providing a visual dimension, they contribute to increasing the understanding of the problem, and thus help practitioners, users (lay and expert) as well as engineers in designing solutions that improve trust, efficiency and transparency. The GRID workshop aims at bringing the applied and the theoretical approaches together for the benefit of both. Real-world applications can gain in explainability through the use of graphical models, while addressing the intrinsic challenges of poor quality data can improve the understanding and use of graphical models. Small workshops are often organised around one unifying theme, be it a methodological theme or a challenge. We here focus on both a methodological theme and a challenge. Our approach will bring together 1) a variety of methods drawing on graphical representation and 2) a variety of application domains dealing with different aspects of imperfect data. The varieties generate the necessary distance between approaches to provide opportunities for cross-pollination, while similarities of methods and domains make for a sufficient closeness guaranteeing mutual relevance. TOPICS This workshop welcomes submissions dealing with the general topics of graphical models and imperfect data and their integration, from the perspective of knowledge representation and reasoning. A non-exhaustive list of keywords includes: + Bayesian nets + Markov nets + Credal nets + Dung-style argumentation + Knowledge graphs + Ontologies + Data visualization tools + Inconsistent data + Uncertain data + Data integration + Multi-source data + Heterogeneous data + Consistency maintenance + Real-world data + Data imputation + Missing data + Spurious data + Data loss + Outliers + Adversarial data SUBMISSION GUIDELINES Papers should be formatted according to the LNCS style and submitted as a single PDF file. We welcome submissions of theoretical and practical work including early-stage research ideas, methods, tools and applications. We welcome short papers (2-6 pages), and long papers (up to 12 pages). All accepted papers will be considered for an oral presentation. The reviewing process will be light and driven more by relevance to the workshop and the paper's potential to foster discussion than by the technical maturity of the contribution. Workshop submissions and camera-ready versions will be handled by EasyChair. Please submit at: https://easychair.org/my/conference?conf=grid2023 IMPORTANT DATES - May 31, 2023: Submission deadline - July 4, 2023: Paper notification - July 31, 2023: Camera-ready papers due PROCEEDINGS The accepted papers will appear on the workshop website and the online proceedings will be non-archival. The copyright will remain with the authors. ORGANIZING COMMITTEE Sihem Belabbes, LIASD, IUT de Montreuil, Université Paris 8, France. Jürgen Landes, University of Milan, Italy. PROGRAM COMMITTEE Leila Amgoud (CNRS, Université Toulouse 3, FR), Martin Adamčík (Assumption University, TH), Paolo Baldi (University of Milan, IT), Sadok Ben Yahia (Tallinn University of Technology, EE), Salem Benferhat (Université d'Artois, FR), Meghyn Bienvenu, (CNRS, Université de Bordeaux, FR), Richard Booth (Cardiff University, UK), Camille Bourgaux (Ecole Normale Supérieure, FR), Katarina Britz (Stellenbosch University, SA), Giovanni Casini (ISTI-CNR, IT), Esther Anna Corsi (University of Milan, IT), Madalina Croitoru (Université de Montpellier, FR), Glauber De Bona (Universidade de São Paulo, BR), Francesco De Pretis (University of Modena and Reggio Emilia, IT), Andreas Herzig (CNRS, Université Toulouse 3, FR), Sa ̈ıd Jabbour (Université d'Artois, FR), Mardi Jankowitz (University of South Africa, SA), Souhila Kaci (Université de Montpellier, FR), Myriam Lamolle (Université Paris 8, FR), Marie-Jeanne Lesot (Sorbonne Université, FR), Quentin Manière (Universität Leipzig, DE), Nédra Mellouli (Université Paris 8, FR), Tommie Meyer (University of Cape Town, SA), Petrus Potgieter (University of South Africa, SA), Soroush Rafiee Rad (ILLC Universiteit van Amsterdam, NL), Adrien Revault d'Allonnes (Université Paris 8, FR), Kai Sauerwald (FernUniversität in Hagen, DE), Karima Sedki (Université Paris 13, FR), Tom Sterkenburg (Ludwig-Maximilians-Universität Munich, DE), Chris Swanepoel (University of South Africa, SA), Karim Tabia (Université d'Artois, FR), Matthias Thimm (FernUniversität in Hagen, DE), Ivan Varzinczak (Université Paris 8, FR), Srdjan Vesic (CNRS, Université d'Artois, FR). CONTACT belabbes@1 and juergen_landes@2 1: iut.univ-paris8.fr 2: yahoo.de Links: ------ [1] https://jlandes.wordpress.com/graphical-reasoning-with-imperfect-data-grid-…

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[CFP] 28th International Conference on Conceptual Structures (ICCS 2023) at the HU Berlin, Final Call (Deadline Extended)
by Kai Sauerwald 21 Mar '23

21 Mar '23

[Apologies for multiple postings.] ****************************************************************** Final Call for Papers: 28th International Conference on Conceptual Structures (ICCS 2023) September 11th-13rd, 2023, Berlin, Germany Website: https://iccs-conference.org/ Twitter: @iccs_confs Contact us: contact(a)iccs-conference.org ****************************************************************** ********** About ICCS ********** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms have been getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to human users. ICCS 2023 will take place in Berlin, Germany, in September 2023. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2023 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. In particular, the conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. **************** Invited Speakers **************** The following speaker will give keynote talks in addition to the technical programme: - Camille Roth (French National Centre for Scientific Research, Centre Marc Bloch) - Henrik Müller (TU Dortmund University) - Nina Gierasimczuk (Technical University of Denmark) ****** Topics ****** - Topics include but are not limited to: - Existential and Conceptual Graphs - Graph-based models for human reasoning - Social network analysis - Formal Concept Analysis - Conceptual knowledge acquisition - Data and Text mining - Human and machine reasoning under inconsistency - Human and machine knowledge representation and uncertainty - Automated decision-making - Argumentation - Constraint satisfaction - Preferences - Contextual logic - Ontologies - Knowledge architecture and management - Semantic Web, Web of Data, Web 2.0, Linked (Open) Data - Conceptual structures in natural language processing and linguistics - Metaphoric, cultural or semiotic considerations - Resource allocation and agreement technologies - Philosophical, neural, and didactic investigations of conceptual, graphical representations ************************** Important Dates (Extended) ************************** - Abstract registration deadline: April 3, 2023 (AoE) - Submission deadline: April 10, 2023 (AoE) - Paper Reviews Sent to Authors: May 21, 2023 (AoE) - Rebuttals Due: May 28, 2023 (AoE) - Notification to authors: June 7, 2023 (AoE) - Camera-ready papers due: June 21, 2023 (AoE) ****************** Submission Details ****************** We invite scientific papers of up to fourteen pages, short contributions of up to eight pages, and extended poster abstracts of up to three pages. Papers and poster abstracts must be formatted according to Springer’s LNCS style guidelines and not exceed the page limit. Papers will be subject to double-blind peer review, in which the reviewers do not know the author's identity. We recommend using services like https://anonymous.4open.science/ to anonymously share code or data. Anonymized works that are available as preprints (e.g., on arXiv or SSRN) may be submitted without citing them. Submission should be made via EasyChair: https://easychair.org/conferences/?conf=iccs2023. All paper submissions will be refereed, and authors will have the opportunity to respond to reviewers’ comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed, and selected poster abstracts might be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be indexed by DBLP. ********** Organizers ********** General Chair: Robert Jäschke, Information Processing and Analytics, Humboldt University of Berlin, Germany Program Chairs: Manuel Ojeda Aciego, Dept. Applied Mathematics, University of Málaga, Spain Kai Sauerwald, Artificial Intelligence Group, FernUniversität in Hagen, Germany ***************** Program committee ***************** - Bernd Amann – Sorbonne Université – LIP6, France - Simon Andrews – Sheffield Hallam University, UK - L’ubomír Antoni – Univ. P.J. Safárik, Slovakia - Pierre Bisquert – INRAE, France - Tanya Braun – Univ. of Münster, Germany - Peggy Cellier – IRISA/INSA Rennes, France - Pablo Cordero — Univ. de Málaga, Spain - M.Eugenia Cornejo — Univ. de Cádiz, Spain - Diana Cristea – Babes-Bolyai Univ. Cluj-Napoca, Romania - Licong Cui – The Univ. of Texas Health Science Center at Houston, USA - Harry Delugach – Univ. of Alabama in Huntsville, USA - Dominik Endres – Univ. of Marburg, Germany - Jérôme Euzenat – INRIA, France - Marcel Gehrke – Univ. of Lübeck, Germany - Raji Ghawi – Technical Univ. of Munich, Germany - Ollivier Haemmerlé – IRIT, Univ. Toulouse le Mirail, France - Tom Hanika – Univ. of Kassel, Germany - Dmitry Ignatov – National Research Univ., Higher School of Economics, Russia - Hamamache Kheddouci – Univ. Claude Bernard, France - Petr Krajca – Univ. Palacky Olomouc, Czech Republic - Ondrej Krídlo — Univ. P.J. Safárik, Slovakia - Leonard Kwuida – Bern Univ. of Applied Sciences, Switzerland - Domingo López-Rodríguez — Univ. de Málaga, Spain - Philippe Martin – UEA2525 LIM, Univ. of La Réunion, France - Jesús Medina — Univ. de Cádiz, Spain - Amedeo Napoli – LORIA Nancy (CNRS – Inria – Univ. de Lorraine), France - Sergei Obiedkov – National Research Univ., Higher School of Economics, Russia - Carmen Peláez-Moreno – Univ. Carlos III Madrid, Spain - Heather D. Pfeiffer – Akamai Physics, Inc., USA - Uta Priss – Ostfalia University, Germany - Christian Sacarea – Babes-Bolyai Univ. Cluj-Napoca, Romania - Diana Sotropa – Babes-Bolyai Univ. Cluj-Napoca, Romania - Francisco Valverde-Albacete — Univ Rey Juan Carlos, Madrid, Spain *****************************************

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8th SIPTA seminar: Frank Riedel ("Knightian Uncertainty in Finance and Economics") 30th March
by sdesterc 16 Mar '23

16 Mar '23

Dear SIPTians and IP enthusiasts, We are delighted to announce our upcoming eight SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The eigth seminar will take place on the 30th of March (Thrusday). The zoom link for this seminar is https://utc-fr.zoom.us/j/83400465706 For this eigth seminar, we are very happy to have Frank Riedel as our speaker. Frank Riedel is, among other things, Professor for Mathematics and Economics at Bielefeld University, as well as Director of the Center for Mathematical Economics and Editor in Chief of Mathematics and Financial Economics. He has made many core contribution to the handling of uncertainty in Finance, in particular to deal with ambiguity and knighting uncertainty. On the 30th March, at 15:00 CET paris time (up to 17:00 CET, with a talk duration of 45min/1h), he will talk about "Knightian Uncertainty in Finance and Economics”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th March, at 15:00 CET, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=4Xv-7P7J1og. See you at the seminar! Sébastien, Enrique and Jasper

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FW: IUKM 2023 Call for Papers
by Kreinovich, Vladik 12 Mar '23

12 Mar '23

FYI, imprecise probabilities are one of the highlighted topics. -----Original Message----- From: Van Nam Huynh <huynh(a)jaist.ac.jp> Dear All, The IUKM 2023 — The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making is being held from November 02 — 04, 2023, in Kanazawa, Japan. Attached please find the call for papers and I appreciate your help in circulating it among your colleagues and students. Thanks a lot. Best wishes, Nam

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16th International Workshop on Constraint Programming and Decision Making CoProD'2023
by Kreinovich, Vladik 12 Mar '23

12 Mar '23

Typo corrected, my apologies FYI, papers related to imprecise probabilities are always welcome at this series of workshops ************************************************************ 16th International Workshop on Constraint Programming and Decision Making CoProD'2023 https://www.cs.utep.edu/interval-comp/coprod23.html May 30, 2023, Cincinnati, Ohio, USA. CoProD'2023 is the sixteenth edition of CoProD http://coprod.constraintsolving.com/. It will be held on May 30, 2023, right before the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, USA, May 31 - June 2, 2023, https://nafips2023.com/ Constraint programming techniques are important components of intelligent systems. They constitute a declarative and efficient methodology to represent and solve many practical problems. They have been applied successfully to a number of fields, such as scheduling of air traffic, software engineering, networks security, chemistry, and biology. Despite the proved usefulness of these techniques, they are still under-utilized in real-life applications. One reason is the perceived lack of effective communication between constraint programming experts and domain practitioners about constraints, in general, and their use in decision making, in particular. Objectives of CoProD: * To present advances in constraint solving, optimization, and related topics; * To develop a network of researchers interested in constraint techniques, in particular researchers and practitioners that use numeric and symbolic approaches (or a combination of them) to solve constraint and optimization problems; * To address the gap between the great capacity of these techniques and their limited use. CoProD aims at encouraging presentation and discussion of on-going work. In particular, please note that there is room for presentation of ideas, as opposed to results only. It also aims at facilitating networking opportunities as well as cross-fertilization between the approaches used in the different attending communities. Therefore, besides active researchers in decision making and constraint programming techniques, we expect to have a wide attendance and participation of domain scientists -- whose input is highly valued in this workshop. Proceedings / Publication: Submissions are expected in the form of extended abstracts of at least 2 pages and ideally no more than 5 pages (a few more pages is OK), formatted using the Springer edited book format, style file svmult.cls and an example of using this file (not related to CoProD) are attached to the workshop website. Submissions have to be sent in pdf format AND LaTeX format to mceberio [at] utep [dot] edu and vladik [at] utep [dot] edu. A contact author should be specified in the submission email. The deadline for submissions is April 15, 2023 (Let us know if you need a few more days). Authors of accepted abstracts are expected to participate and present their work at the workshop. Participation / Submission: Participation is encouraged from people doing research in the area of decision making as well as from domain scientists. Submissions of ideas are also encouraged. Important dates: April 10, 2023: paper submission April 20, 2023: notification of acceptance May 1, 2023: camera-ready copy of abstracts due May 30, 2022: workshop Organizers: Martine Ceberio, the University of Texas at El Paso, mceberio(a)utep.edu<mailto:mceberio@utep.edu> Vladik Kreinovich, the University of Texas at El Paso, vladik(a)utep.edu<mailto:vladik@utep.edu> The previous editions of CoProD featured invited talks by highly recognized experts (listed in alphabetic order): * Purushotham Bangalore, CIS department, University of Alabama at Birmingham, USA * Martin Berz, Michigan State University, USA * Stefano Bistarelli, University of Perugia, Italy * Alessandro Dal Palu, University of Parma, Italy * Rina Dechter, Information and Computer Sciences, University of California Irvine, USA * Scott Ferson, Applied Bioinformatics, New York, USA * Juan Carlos Figueroa, Universidad Distrital de Bogota, Colombia * Patty Hough, Sandia National Lab, Livermore, California, USA * Luc Jaulin, Ecole Nationale Superieure des Techniques Avancees (ENSTA) Bretagne, France * Weldon Lodwick, University of Colorado Denver, Denver, Colorado, USA * Kyoko Makino, Michigan State University, USA * Francois Modave, Texas Tech Health Center, El Paso, Texas, USA * Tiago Oliveira, National Institute of Informatics (NII) in Tokyo, Japan. * Enrico Pontelli, New Mexico State University, Las Cruces, New Mexico, USA * James Raynolds, College of Nanoscale and Engineering, SUNY Albany, USA * Sigfried Rump, Hamburg University of Technology and Waseda University, Japan * Ken Satoh, National Institute of Informatics (NII) in Tokyo, Japan * Bart Selman, CS department, Cornell University, USA * Yaroslav D. Sergeyev, Università della Calabria, Italy * Sergey Shary, Novosibirsk State University, Russia * Young Jun Son, The University of Arizona, Tucson, USA * Xiaobai Sun, Duke University, USA * Alfredo Vaccaro, University of Sannio, Department of Engineering, Benevento, Italy * Leticia Velazquez, The University of Texas at El Paso, USA

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Re: EMS 2023
by Kreinovich, Vladik 10 Mar '23

10 Mar '23

Papers related to imprecise probabilities are welcome at this conference From: Przemysław Grzegorzewski <przemyslaw.grzegorzewski(a)pw.edu.pl> Sent: Thursday, March 9, 2023 3:58 AM Dear Colleague, It is our pleasure to inform you that the registration and abstract submission for the European Meeting of Statisticians (Warsaw, 3-7.07.2023) has been extended to March, 31, 2023. The web page of the conference is https://ems2023.org/ The European Meeting of Statisticians (EMS), sponsored by the European Regional Committee of the Bernoulli Society, is the main conference in statistics and probability in Europe. EMS is a conference where statisticians from all regions meet to exchange ideas and talk about the newest developments in the broad field of statistics and probability theory. The very first EMS meeting was held in Dublin in 1962, and the 34th European Meeting of Statisticians (EMS 2023) - will take place in Warsaw. The meeting is organized by the University of Warsaw, Warsaw University of Technology, and the Polish Mathematical Society under the auspices of the Committee of Mathematics of the Polish Academy of Sciences. The conference will be held at the campus of the University of Warsaw. The program consists of invited and contributed lectures, and posters, addressing a full range of subjects in statistics and its many applications. We hope that you will be able to participate and to contribute to the success of the meeting. Organizing Committee of the EMS 2023 ***** Prof. dr hab. Przemysław Grzegorzewski Faculty of Mathematics and Information Science Warsaw University of Technology Koszykowa 75, 00-662 Warsaw, Poland http://pages.mini.pw.edu.pl/~grzegorzewskip/www *****

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FW: Summer Workshop on Interval Methods 2023
by Kreinovich, Vladik 27 Feb '23

27 Feb '23

SWIM 2023 Summer Workshop on Interval Methods 2023 27-29 June 2023 Angers, France https://swim2023.sciencesconf.org/ The 2023 Summer Workshop on Interval Methods (SWIM) is organized by the Dynamic System and Optimization (DSO) team of LARIS, in collaboration with the CNRS GDR MACS. It takes place this year on June 27, 28 and 29, 2023 at Polytech Angers. IMPORTANT INFORMATION Location: Angers - Polytech Angers | 62 avenue Notre Dame du Lac. Dates: June 27, 28 and 29, 2023. Registration and contribution deadline: June 8, 2023. Language: presentation support in English, presentation and discussions in French or English depending on the audience. Meals: * Lunches and coffee breaks are covered by the organization. Thanks to University of Angers, GDR MACS, LARIS, and SFR Math-STIC; * Dinners of June 27 and 28 remains the responsibility of the participant. SCOPE AND TOPICS SWIM aims at gathering researchers working on/with interval methods and their applications. The goal is to review the state-of-the-art in this field. Contributions can be for example in the domain of * Verification and Validation * Robust and Nonlinear Control Systems * State Estimation * Interval Observer Design * Parameter Identification * Fault Detection and Diagnosis, Fault Tolerant Systems * Stability, Reachability, Observability * Reliable Software Design * Robotics * Mathematics * Verified Solution of Algebraic and Dynamic System Models * Verified Numerics and Scientific Computing * Linear Algebra and any other applications of interval methods, verified numerics, and other related set-membership techniques (e.g., affine arithmetics, polytopes, etc). ATTENDANCE AND CONTRIBUTIONS As in previous years, these days will mainly consist of the presentations by guest researchers and oral presentations selected from the submitted contributions (~20 minutes), based on submission of an abstract of one to two double column pages in English in pdf format. Nicolas Delanoue, Sebastien Lagrange, Remy Guyonneau, Marie-Francoise Gerard, and Franck Mercier CONTACT: nicolas.delanoue(a)univ-angers.fr<mailto:nicolas.delanoue@univ-angers.fr>

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Teddy Seidenfeld seminar today (3pm CET)!
by Sebastien Destercke 17 Feb '23

17 Feb '23

Dear Siptians, This is a message to remind you all that the seventh seminar will take place today (17th of February), at 3pm CET (Paris time). The zoom link for this next seminar is https://utc-fr.zoom.us/j/86719575230 For this seventh seminar, we are very happy to have Teddy Seidenfeld as our speaker. Teddy Seidenfeld is the Herbert A. Simon University Professor of Philosophy and Statistics at Carnegie Melon University. He has numerous core and foundational contributions in the fields of philosophy, statistics, probability, game theory and related areas. Teddy will talk about "Some finitely additive probabilities and decisions”. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=MaFCzWum1XI. See you at the seminar! Sébastien, Enrique and Jasper

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isipta'2023: deadlines reminder
by Enrique Miranda 09 Feb '23

09 Feb '23

Dear colleagues, This is a reminder that, although the deadline for paper submission of long papers at the upcoming ISIPTA is February 19, a title and abstract should be submitted by February 12, 23:59. You can find all the information at the conference website: https://isipta23.sipta.org/ Submissions should be done via easychair: https://easychair.org/conferences/?conf=isipta2023 For any question related to the conference, you can either contact me or write to <isipta2023(a)uniovi.es>. Looking forward to meeting you in Oviedo, Enrique Miranda

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[CFP] 28th International Conference on Conceptual Structures (ICCS 2023) at the HU Berlin, Second Call
by Kai Sauerwald 06 Feb '23

06 Feb '23

[Apologies for multiple postings.] ************************************************************ Second Call for Papers: 28th International Conference on Conceptual Structures (ICCS 2023) September 11th-13rd, 2023, Berlin, Germany Website: https://iccs-conference.org Twitter: @iccs_confs Contact us: contact(a)iccs-conference.org ************************************************************ *************** About ICCS: *************** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms have been getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to human users. ICCS 2023 will take place in Berlin, Germany, in September 2023. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2023 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. In particular, the conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. ********** Topics: ********** Topics include but are not limited to: Existential and Conceptual Graphs Graph-based models for human reasoning Social network analysis Formal Concept Analysis Conceptual knowledge acquisition Data and Text mining Human and machine reasoning under inconsistency Human and machine knowledge representation and uncertainty Automated decision-making Argumentation Constraint satisfaction Preferences Contextual logic Ontologies Knowledge architecture and management Semantic Web, Web of Data, Web 2.0, Linked (Open) Data Conceptual structures in natural language processing and linguistics Metaphoric, cultural or semiotic considerations Resource allocation and agreement technologies Philosophical, neural, and didactic investigations of conceptual, graphical representations ******************** Important Dates: ******************** - Abstract registration deadline: March 19th, 2023 - Submission deadline: March 26th, 2023 - Paper Reviews Sent to Authors: May 14th, 2023 - Rebuttals Due: May 21th, 2023 - Notification to authors: May 31th, 2023 - Camera-ready papers due: June 14th, 2023 ******************** Submission Details: ******************** We invite scientific papers of up to fourteen pages, short contributions of up to eight pages, and extended poster abstracts of up to three pages. Papers and poster abstracts must be formatted according to Springer’s LNCS style guidelines and not exceed the page limit. Papers will be subject to double-blind peer review, in which the reviewers do not know the author's identity. We recommend using services like https://anonymous.4open.science/ to anonymously share code or data. Anonymized works that are available as preprints (e.g., on arXiv or SSRN) may be submitted without citing them. Submission should be made via EasyChair: https://easychair.org/conferences/?conf=iccs2023. All paper submissions will be refereed, and authors will have the opportunity to respond to reviewers’ comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed, and selected poster abstracts might be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be indexed by DBLP. ******************** Submission Details: ******************** *************** Organizers: *************** General Chair: Robert Jäschke, Information Processing and Analytics, Humboldt University of Berlin, Germany Program Chairs: Manuel Ojeda Aciego, Dept. Applied Mathematics, University of Málaga, Spain Kai Sauerwald, Artificial Intelligence Group, FernUniversität in Hagen, Germany *****************************************

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[CFP] Workshops and Tutorials at the 28th International Conference on Conceptual Structures (ICCS 2023) @ HU Berlin
by Kai Sauerwald 06 Feb '23

06 Feb '23

[Apologies for multiple postings.] ************************************************************ Call for Workshops and Tutorials at the 28th International Conference on Conceptual Structures (ICCS 2023) September 11 - 13, 2023, Berlin, Germany Website: https://iccs-conference.org Twitter: @iccs_confs Contact us: contact(a)iccs-conference.org ************************************************************ ********** About ICCS ********** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms have been getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to human users. ICCS 2023 will take place in Berlin, Germany, in September 2023. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2023 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. In particular, the conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. **************************** Call for Workshops/Tutorials **************************** We invite proposals for workshops or tutorials to be held on the first day of ICCS 2023 (September 11, 2023) in Berlin, Germany. Proposals should address current and emerging topics related to the formal analysis and representation of conceptual knowledge (cf. also the list of topics in the CfP). Workshops and tutorials provide an opportunity to discuss novel topics in an interactive atmosphere. They can concentrate in-depth on research topics, but can also be devoted to application issues. ******************* Duration and Format ******************* We welcome both full- and half-day workshop/tutorial proposals and encourage a program that is both varied and interesting. We specifically encourage innovative formats for workshops that go beyond traditional paper presentations, for example, including a challenge for participants to solve, or jointly working on a specific problem or document at the venue. Combinations of half-day tutorial and workshop are also possible, thus providing the option to introduce a topic and then to discuss relevant research. ICCS 2023 will be an on-site conference, thus all contributors are required to present their work locally in Berlin. *************** Important Dates *************** - Proposal deadline: May 5, 2023 - Notification of acceptance: May 12, 2023 - Tutorial/Workshop day: September 11, 2023 *************************** Proposal/Submission Details *************************** Proposals for workshops/tutorials should (at least) provide the following information: - A brief description of * the specific issues that will be addressed, * the reasons why the workshop/tutorial is of relevance, * the main research areas involved, * and what the workshop/tutorial will add to the conference (e.g., do you expect papers of a theme that would not fit the main conference?). - Specifically for workshops, * information on the workshop chairs and the expected program committee, * a draft of the Call for Papers, including information on accepted formats (e.g., regular papers, extended abstracts, oral-only presentations of relevant recently published or submitted contributions, etc.) * and the expected format of the workshop (e.g., invited talks, presentations, poster sessions, panel discussions, challenge sessions, or other ideas for ensuring an interactive atmosphere). - Specifically for tutorials, please add some details on the person(s) who gives the tutorial and the expected length. - In the case of a combined tutorial-workshop, please clearly indicate the format. - Any special requirements regarding logistics (e.g., poster stands, audio equipment), if applicable. Please send your applications or questions to Robert Jäschke (contact(a)iccs-conference.org) We are looking forward to your proposals. *****************************************

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Re: Call for Contributions to the International Conference on SMC
by Kreinovich, Vladik 05 Feb '23

05 Feb '23

FYI, papers using imprecise probabilities are always welcome at this series of conferences Call for Contributions to the International Conference on Systems, Man, and Cybernetics (SMC 2023) We would like to draw your attention to the Call for Contributions to the International Conference on Systems, Man, and Cybernetics (SMC 2023), to be held in Maui, Hawaii, October 1-4, 2023. This year's theme is "Improving the Quality of Life" (https://ieeesmc2023.org/<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenotice.m…>) Several excellent keynote speakers have already been confirmed: https://ieeesmc2023.org/program/keynotes/<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenotice.m…> Calls for Workshops, Special Sessions and Tutorials have a deadline of February 15, 2023 with instructions available online: https://ieeesmc2023.org/contributing/<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenotice.m…> Three Satellite Workshops are confirmed, including the 13th IEEE Workshop on Brain-Machine Interface Systems (https://musaelab.ca/bmi23/smc2023_bmi.html<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenotice.m…>), the 3rd IEEE Future Directions Workshop on Telepresence, and the 1stIEEE Workshop on Telexistence in Virtual Worlds. Attendance to these workshops will be free to all SMC 2023 attendees. Full papers covering contributions to theory and practice, including but not limited to, the broad technical areas of Systems Science and Engineering, Human-Machine Systems, and Cybernetics are being sought with a submission deadline of March 30, 2023. More details can be found here: https://ieeesmc2023.org/contributing/call-for-papers/<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenotice.m…> ______________________________________________________________________ Professor Saeid Nahavandi, FIEEE Chair, Electronic Communications Subcommittee [http://images.magnetmail.net/images/clients/IEEE_MGAIM/enotice_footer_800.p…] [https://enotice.mmsend.com/spacer.cfm?tracking_id=55845521419&jid=58575155]

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Uncertain Reasoning Special Track at The 36th International FLAIRS Conference (UR@FLAIRS-36)
by Kai Sauerwald 24 Jan '23

24 Jan '23

*** Third Call for Papers *** ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Uncertain Reasoning (UR) Special Track at The 36th International FLAIRS Conference (FLAIRS-36) In cooperation with the American Association for Artificial Intelligence Clearwater Beach, Florida, USA May 14-17, 2023 Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notification: March 13, 2023 All accepted papers will be included in the FLAIRS proceedings published by Florida Online Journals Invited papers will be published in a special journal issue http://ur-flairs.github.io/2023/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call For Papers The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-36) is the 28th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Topics of Interest Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: *Uncertain reasoning formalisms, calculi and methodologies *Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics *Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities *Exact, approximate and qualitative uncertain reasoning *Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits *Multi-agent uncertain reasoning and decision-making *Decision-theoretic planning and Markov decision process *Temporal reasoning and uncertainty *Non-monotonic reasoning *Conditional Logics *Argumentation *Belief change and merging *Similarity-based reasoning *Ontologies and description logics *Construction of models from elicitation, data mining and knowledge discovery *Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment *Uncertain reasoning in data management *Practical applications of uncertain reasoning *Learning probabilistic models *Applications in computer vision and animation === Paper Submission and Publication === Submitted papers must be original, and not submitted concurrently to a journal or another conference while under review. Interested authors should format their papers according to FLAIRS-36 conference formatting guidelines. Papers should not exceed 6 pages (4 pages for a poster) and are due by February 13, 2023. The reviewing is a double blind process. Author names and affiliations must be omitted on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-36.info/) Authors should indicate the Uncertain Reasoning special track for submissions. All accepted papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. FLAIRS requires that there be at least one full author registration per paper. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2023 We anticipate there will be a special issue devoted to extended versions of selected papers at the track. === Important Dates === Abstract submission due: Feb. 6, 2023 Paper submission due: Feb. 13, 2023 Author Notification: Mar. 13, 2023 === Program Committee === [ Track Chairs ] Kai Sauerwald University of Hagen, Germany Choh Man Teng Institute for Human and Machine Cognition, USA [ PC Members ] Mohand Said Allili (Université du Québec en Outaouais) Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversität in Hagen, Israel) Salem Benferhat (University of Artois, France) Stefano Bistarelli (University of Perugia, Italy) Nizar Bouguila (Concordia University, Canada) Martine Ceberio (University of Texas at El Paso, US) Lluís Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Ralf Möller (University of Lübeck, Germany) Arthur Paul Pedersen (The City College of New York, US) Rafael Peñaloza Nyssen (University of Milano-Bicocca, Italy) Eugene Santos (Dartmouth College, US) Dilip Sarkar (University of Miami, US) Kari Sentz (Los Alamos National Laboratory, US) Karima Sedki (University of Paris 13, France) Karim Tabia (University of Artois, France) Carlo Taticchi (University of Perugia, Italy) === Travel Information === Additional information on the conference locale and travel planning can be found at http://www.flairs-36.info.

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2nd CFP ISIPTA’2023 (deadline extension!)
by Enrique Miranda 17 Jan '23

17 Jan '23

*News: extended deadlines **** * * IMPORTANT DATES: * Submission of title and abstract: February 12, 2023 (extended, final deadline) * Paper submission deadline: February 19, 2023 (extended, final deadline) * Notification of paper acceptance: April 12, 2023 * Poster submission deadline: May 1, 2023 * Notification of poster acceptance: May 15, 2023 * Conference: 11-14 July 2013 Call for papers What if we told you that “There’s more to uncertainty than probabilities.” Curious? Then come to Oviedo, Spain, 11-14 July 2023, to attend the 13th edition of ISIPTA: the world’s main forum on imprecise probabilities. For more information, visit https://isipta23.sipta.org/ <https://isipta23.sipta.org/>. Not convinced yet? Then perhaps the following features can convince you: TOPIC: The symposium is open to contributions on all aspects of imprecise probability, including (but not limited to) sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, belief functions, and possibility theory. CONCEPT: Each accepted contribution is presented and discussed in two separate sessions. Presentations are short and plenary. Detailed explanations and discussions are face-to-face relying on whichever medium you prefer, so as tofavor interaction among participants (you can visit: http://www.sipta.org/ <http://www.sipta.org/index.php?id=cs> for links to the previous editions of all ISIPTA conferences). WHY ATTEND?The conference is an excellent opportunity to learn about the latest developments in imprecise probability in a friendly and cooperative atmosphere where interaction and confrontation of ideas are the primary objectives. The conference will take place in Oviedo, the capital of Asturias, a region in the north of Spain familiarly referred to as the Natural Paradise. In addition, Oviedo is the original starting point of the primary cultural route in Europe, the Way of St James, and is home to five pre-Romanesque monuments declared World Heritage Sites by UNESCO in 1985 and 1998. SUBMISSIONS: 2 options are available * Papers (with a limit of 9 pages, excluding references); * Abstracts (1 page, for ongoing research) Submission should be done via easychair: https://easychair.org/ <https://easychair.org/> PLENARY SPEAKERS: We are proud to announce that the plenary speakers of ISIPTA 2023 shall be: * Gert de Cooman (Ghent University, Belgium). * Marta Kwiatkowska (University of Oxford, United Kingdom). * Michel Grabisch (Université Paris I Panthéon Sorbonne, France). TRIBUTE TO TERRENCE FINE: During ISIPTA 2023, we will pay tribute to Terrence Fine, one of the founding fathers of imprecise probability theory, who sadly passed away on January 31, 2021. More information shall be provided in due time. PROCEEDINGS:Papers will be published by PMLR (Proceedings of Machine Learning Research).After the conference, extended versions of selected conference contributions will be published in a special issue of the International Journal of Approximate Reasoning. FELLOWSHIPS: Artificial Intelligence Journal is funding 4 fellowships for PhD Students. More information on the conditions and applications will be given in due time. AWARDS: As in previous editions, there will be two types of awards: On the one hand, the International Journal of Approximate Reasoning will give the IJAR Young Researcher Award to a young researcher whose contributions to IP theory are outstanding. The award shall consist of a certificate and 1000 euros. More details shall be given soon. In addition, poster awards shall be given to those poster presentations of excellent quality. The award shall be supported by Wiley and Springer and will consist of a certificate and a book. Contact e-mail: isipta2023(a)uniovi.es <mailto:isipta2023@uniovi.es> Further information: https://isipta23.sipta.org/ <https://isipta23.sipta.org/> Twitter account:@isipta2023 The ISIPTA 2023 Steering Committee J. De Bock (Ghent University, Belgium) F.G. Cozman (University of Sao Paulo, Brazil) E. Miranda (University of Oviedo, Spain) I. Montes (University of Oviedo, Spain) E. Quaeghebeur (Eindhoven University of Technology, The Netherlands) B. Vantaggi (Università La Sapienza of Rome, Italy) *

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Next sipta seminar: 13th january (Friday) at 3pm Paris time
by Sebastien Destercke 06 Jan '23

06 Jan '23

Dear SIPTiAns and IP enthusiasts, We are delighted to announce our sixth SIPTA online seminar on imprecise probabilities (IP), and the first of this new year. These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The sixth seminar will take place on the 13th of January (Friday), at 3pm Paris Time. The zoom link is https://utc-fr.zoom.us/j/89529523919 This sixth seminar will consist of a joint talk aiming at providing an overview of recent advances and challenges in a given field. For this, we are very happy to have three different speakers that will each give their view on the topic of Engineering in IP (during a 1 hour talk in total). We are very happy to have as our speakers Alice Cicirello, the founder and the Head of the Data, Vibration and Uncertainty Group at Tu Delft, Matthias Faes, Chair for Reliability Engineering at TU Dortmund, and Edoardo Pattelli, Professor in Risk and Uncertainty Quantification and the Head of the Centre for Intelligent Infrastructure at the Department of Civil and Environmental Engineering, at Strathclyde University. All of them have made impressive contributions as to how one can deal with imprecision and uncertainty in various engineering problems, with a very rich expertise in both theoretical and applied problems. We are very much looking forward listening to their thoughts about the state of IP in engineering! Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can also be found on that same page shortly before the event. So please mark your calendars on the 13th January, at 15:00 Paris Time, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=sdsFlLudLjo. See you at the seminar! Sébastien, Enrique and Jasper

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