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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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