- SIPTA News - lists.sipta.org

[SIPTA] Lecturer job at Heudiasyc + PhD proposal (uncertainty propagation)
by Sébastien Destercke 21 Jan '21

21 Jan '21

Dear all, A small mail to inform you that we have two positions opening: * We will open a permanent lecturer position this year in our team, for which strong profiles in uncertainty reasoning and/or statistical learning are welcomed. Although it is possible to teach in english, the usual teaching language here is french. Just let me know if you want more information. * We have a PhD proposal on (espistemic) uncertainty propagation in problems of 3D satellite image reconstruction (used, e.g., to map towns or track ice melting progression). You can check the details there: https://recrutement.cnes.fr/en/annonce/1100115-050-uncertain-and-incomplete… So, if you have strong candidates that could be interested, or are interested yourself, do not hesitate to contact me. -- ==================================== 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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[SIPTA] UAI 2021 - Call for Papers
by Cassio de Campos 20 Jan '21

20 Jan '21

UAI 2021 - Call for Papers The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. UAI 2021 will be held fully online from 27 to 30 July 2021. We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed based on their novelty, technical quality, potential impact and clarity of writing. More detailed information can be found on the conference website: https://www.auai.org/uai2021/ All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track to ensure good visibility. Selected papers will have longer presentations and an assigned discussant to foster debate. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR). Important dates: February 19, 2021 (23:59 UTC): Paper submission deadline April 14-20, 2021: Author response period May 12, 2021: Author notification We are looking forward to building an exciting program and will do our best to leverage the advantages that an online conference can create. If you have any particular positive or negative experience that you would like to share with us, please do not hesitate to write us an email. Very soon there will be a call for workshop proposals too, stay tuned. Cassio de Campos and Marloes Maathuis UAI 2021 Program Chairs uai2021programchairs(a)gmail.com

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[SIPTA] ISIPTA 2021 2nd CFPs: Deadline Approaching
by Serafin Moral 20 Jan '21

20 Jan '21

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[SIPTA] Re: Call for Papers: Applications and Systems Track (KR 2021)
by Kreinovich 17 Jan '21

17 Jan '21

FYI, applications involving probabilistic techniques are among the highlighted topics -----Original Message----- From: Thanh Dinh Sent: Friday, January 15, 2021 7:46 PM CALL FOR PAPERS *Applications and Systems Track* of the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract: March 24, 2021 Paper submission deadline: March 31, 2021 Author response period: May 24-26, 2021 Notification: June 15, 2021 Camera-ready papers: July 14, 2021 Conference dates: November 6-12, 2021 ------------------ Description ------------------ Systems and applications incorporating Knowledge Representation and Reasoning (KR) have made tremendous progress over the last decades and become more and more pervasive in scientific, industrial and everyday life. Popular knowledge representation formalisms range from databases, ontologies, classical, probabilistic and non-monotonic logics to natural language, offering rich means to describe a variety of static as well as dynamic phenomena. Automated reasoning systems harness machine learning, combinatorial search and optimization methods, planning, proving, design and diagnosis techniques to provide powerful tools for analyzing and deriving conclusions from complex input data. Novel, general and interdisciplinary approaches are thus vital contributions at the intersection of science, industry and society, aiming to enhance the capabilities and outreach of KR principles and technologies. This year, for the second time, KR 2021 will host a track on "Applications and Systems". This track aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to applications of KR formalisms and automated reasoning systems. This track provides the opportunity for fostering meaningful connections between researchers from both practical and theoretical areas of AI and, at the same time, offers participants the possibility to learn about progress made on these topics, share their own views and elaborate about approaches that could lead to effective cross-fertilisation among research in challenging KR applications and new innovative systems for solving them. ------------------ Expected Contributions ------------------ The Applications and Systems Track at KR 2021 invites submissions of papers on all aspects of the development, deployment, and evaluation of KR systems to solve significant and challenging application problems, including * case studies, including suitable descriptions of the problem setting, data and tools used, and “lessons learnt”, * use cases, including task specifications, related tasks/approaches, challenges, and a sketch of possible KR solution, * benchmarks, including suitable descriptions of the dataset, reasoning tasks, and ideally some “solution set” or gold standard, * system descriptions, including descriptions of the algorithm, implementation and empirical evaluation on a suitable dataset. We welcome the above kinds of papers on a wide range of topics, including classic KR tools/techniques as well as their usage for solving or supporting tasks in a range of areas, for example: * Computational Biology * Computer Vision and Image/Video Recognition * Creative Computing * Cybersecurity and Blockchain * Data Analytics * Databases and Query Answering * Diagnosis and Explanation * Game Theory and Social Choice * Intelligent Transportation and Logistics * Intelligent User Interfaces * Internet of Things * Machine Learning * Natural Language Processing * Digital Forensics * Robotics and Human Robot Collaboration * Semantic Web and Knowledge Graphs * Software Engineering * System Design We welcome submissions talking about interdisciplinary applications of KR, for example in economics, education, life sciences, medicine, and pharmacology. ------------------ Submission Guidelines and Evaluation Criteria ------------------ The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to Authors Guidelines for KR 2021. The track emphasizes applications of KR and development of KR systems, and welcomes contributions showcasing the impact of KR research as well as driving future research by presenting challenging data, use cases and problems together with observations and insights gained. Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this track, the selection process of the highest quality papers will further apply the following criteria: - (for case studies) quality of the evaluation and significance of the “lessons learnt” - (for use cases) importance and novelty of these use cases for KR - (for system descriptions) quality of the empirical evaluation and its reporting - (for benchmarks) reusability, coverage, and complexity of the datasets ------------------ Chairs ------------------ Martin Gebser (University of Klagenfurt & Graz University of Technology, Austria) Martin.Gebser(a)aau.at Uli Sattler (University of Manchester, UK) Uli.Sattler(a)manchester.ac.uk

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[SIPTA] BELIEF 2021 - Second call for papers
by frederic.pichon 16 Jan '21

16 Jan '21

============================================================ 6th International Conference on Belief Functions (BELIEF 2021) Dates: October 15th-19th, 2021 Location: Shanghai, China Submission deadline: April 15th, 2021 Notification: May 31st, 2021 Final version: June 30th, 2021 Further information: https://www.lgi2a.univ-artois.fr/events/belief2021/ ============================================================ 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 modelling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. The 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. The first edition of this conference series was held in Brest, France, in 2010, the second edition in Compiègne, France, in 2012, the third edition in Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in 2016, and the fifth edition in Compiègne, France, in 2018. The Sixth International Conference on Belief Functions (BELIEF 2021) will be located in Shanghai, China, on October 15-19, 2021, together with the 2021 International Conference on Cognitive analytics, Granular computing, and Three-way decisions (CCGT). It will be held totally or partially online depending on the evolution of the COVID-19 situation. Submission and Proceedings ======================= The proceedings of the BELIEF 2021 conference will be published by Springer-Verlag in a volume 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. Previous BELIEF proceedings can be found on SpringerLink. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. IJAR Special issue ============== Authors of selected papers from the BELIEF 2021 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. Invited speakers ============= We are very happy to announce that the following speakers have agreed to give an invited talk at the conference: - Prof. Zengjing Chen (Shandong University, China) - Prof. Deqiang Han (Xi'an Jiaotong University, China) - Prof. Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) - Associate Prof. Chunlai Zhou (Renmin University, China) Tutorials ============= The program of this edition of the BELIEF conference will include tutorials from experts on belief functions and their applications. More to be announced soon. ============================================================ BELIEF-CCGT Conference co-chairs Thierry Denoeux (Université de Technologie de Compiègne, France), Duoqian Miao (Tongji University, Shanghai, China), Yiyu Yao (University of Regina, Canada). BELIEF 2021 Program Committee co-chairs Zhunga Liu (liuzhunga(a)nwpu.edu.cn, Northwestern Polytechnical University, Xian, China), Frédéric Pichon (frederic.pichon(a)univ-artois.fr, Université d'Artois, France). BELIEF 2021 Steering committee Eric Lefevre (Université d'Artois, France), Zhunga Liu (Northwestern Polytechnical University, Xian, China), David Mercier (Université d'Artois, France), Frédéric Pichon (Université d'Artois, France), Zhihua Wei (Tongji University, Shanghai, China), Xiaodong Yue (Shanghai University, China) BELIEF 2021 Organisation chair Xiaodong Yue, Shanghai University, China The organisers would be grateful if you could inform potentially interested participants of this conference.

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[SIPTA] New book: the geometry of uncertainty
by Fabio Cuzzolin 07 Jan '21

07 Jan '21

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[SIPTA] SSCI'2022: mark your calendars
by Kreinovich 04 Jan '21

04 Jan '21

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[SIPTA] FW: CALL FOR PAPER ESREL 2021 from 19 to 23 september 2021 in Angers, France
by Kreinovich 04 Jan '21

04 Jan '21

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[SIPTA] Re: UNCECOMP 2021 - Happy New Year! Reminder for Abstract Submission
by Kreinovich 04 Jan '21

04 Jan '21

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[SIPTA] Re: UAI 2021 - Call for Papers
by Kreinovich 24 Dec '20

24 Dec '20

Imprecise probabilities are one of the highlighted topics -----Original Message----- From: UAI2021 Programchairs Sent: Tuesday, December 22, 2020 12:53 AM The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. UAI 2021 will be held fully online from 27 to 30 July 2021. We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed based on their novelty, technical quality, potential impact and clarity of writing. More detailed information can be found on the conference website: https://www.auai.org/uai2021/ Important dates: February 19, 2021 (23:59 UTC): Paper submission deadline April 14-20, 2021: Author response period May 12, 2021: Author notification We are looking forward to building an exciting program and will do our best to leverage the advantages that an online conference can create. If you have any particular positive or negative experience that you would like to share with us, please do not hesitate to write us an email. Soon there will be a call for workshop proposals too, stay tuned. Cassio de Campos and Marloes Maathuis UAI 2021 Program Chairs uai2021programchairs(a)gmail.com

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