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[SIPTA] BigDat 2020 Autumn: early registration May 9
by IRDTA April 25, 2020

April 25, 2020

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Re: [SIPTA] ESREL2020-PSAM15 - COVID-19 UPDATE: Conference postponed to November 1-6, 2020 in Venice
by Kreinovich April 21, 2020

April 21, 2020

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[SIPTA] CFP: ECML-PKDD colocated Workshop on Uncertainty in Machine Learning (WUML)
by Sébastien Destercke April 20, 2020

April 20, 2020

---------------------------------------------------------- C A L L F O R P A P E R S Uncertainty in Machine Learning Workshop (combined with a tutorial) at ECML/PKDD 2020 September 14–18, 2020, Ghent, Belgium https://sites.google.com/view/wuml-2020/ ---------------------------------------------------------- Motivation and Focus ---------------------------------------------------------- The notion of uncertainty is of major importance in machine learning and constitutes a key element of modern machine learning methodology. In recent years, it has gained in importance due to the increasing relevance of machine learning for practical applications, many of which are coming with safety requirements. In this regard, new problems and challenges have been identified by machine learning scholars, which call for new methodological developments. Indeed, while uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions, recent research has gone beyond traditional approaches and also leverages more general formalisms and uncertainty calculi. For example, a distinction between different sources and types of uncertainty, such as aleatoric and epistemic uncertainty, turns out to be useful in many machine learning applications. The workshop will pay specific attention to recent developments of this kind. This workshop will be preceded by a tutorial, which provides an introduction to the topic of uncertainty in machine learning and gives an overview of existing methods and hitherto approaches to dealing with uncertainty. ---------------------------------------------------------- Aim and Scope ---------------------------------------------------------- The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine learning. It is meant to provide a forum for the discussion of the most recent developments in the modeling, processing, and quantification of uncertainty in machine learning problems, and the exploration of new research directions in this field. We welcome papers on all facets of uncertainty in machine learning. We solicit original work, which can be theoretical, practical, or applied, and also encourage the submission of work in progress as well as position papers or critical notes. The scope of the workshop covers, but is not limited to, the following topics: -- adversarial examples -- belief functions -- calibration -- classification with reject option -- conformal prediction -- credal classifiers -- deep learning and neural networks -- ensemble methods -- epistemic uncertainty -- imprecise probability -- likelihood and fiducial inference -- model selection and misspecification -- multi-armed bandits -- online learning -- noisy data and outliers -- out-of-sample prediction -- performance evaluation -- hypothesis testing -- probabilistic methods -- Bayesian machine learning -- reliable prediction -- set-valued prediction -- uncertainty quantification ---------------------------------------------------------- Submission and Review Process ---------------------------------------------------------- Authors are supposed to submit original work in the form of regular and short papers written in English. The length of the papers is limited to 6 pages for short contributions (reporting work in progress) and 12 pages for regular contributions (reporting on more mature work) in LNCS format. All papers must be submitted in PDF format online via the EasyChair submission interface: https://easychair.org/conferences/?conf=wuml2020 Each submission will be evaluated by at least two members of the programme committee on the basis of its relevance to the workshop, the significance and technical quality of the contribution, and the quality of presentation. All accepted papers will be included in the workshop proceedings and will be publicly available on the conference web site (unless authors opt out). Currently, possibilities for a follow-up publication are also explored, for example a special issue in a journal. At least one author of each accepted paper is required to attend the workshop to present. ---------------------------------------------------------- Invited Speakers: ---------------------------------------------------------- * Meelis Kull, University of Tartu, Associate Professor in Machine Learning and Chair of Data Science More T.B.A. ---------------------------------------------------------- Important Dates: ---------------------------------------------------------- 11 June 2020 --- paper submission 20 July 2020 --- notification of acceptance or rejection 27 July 2020 --- camera-ready version 14th or 18th September --- workshop date ---------------------------------------------------------- Organization: ---------------------------------------------------------- Eyke Hüllermeier, Paderborn University, eyke(a)upb.de Sébastien Destercke, Heudiasyc, Compiegne, sebastien.destercke(a)hds.utc.fr ---------------------------------------------------------- Programme Committee: ---------------------------------------------------------- T.B.A.

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[SIPTA] CFP: PERFORMANCE 2020
by Cristina Rottondi April 17, 2020

April 17, 2020

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[SIPTA] JOBS: Research Associate - Epistemic Utility for Imprecise Probability x 2
by Jason Konek April 15, 2020

April 15, 2020

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[SIPTA] SLSP 2020: 2nd call for papers
by IRDTA April 13, 2020

April 13, 2020

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[SIPTA] CfP: Workshop on “Explainable Logic-Based Knowledge Representation” (XLoKR 2020) in conjunction with KR 2020
by Francesco Kriegel April 13, 2020

April 13, 2020

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[SIPTA] Fwd: [UAI] SUM 2020: EXTENDED SUBMISSION DEADLINE: NEW DATE IS MAY 4TH, 2020
by Thomas Augustin April 10, 2020

April 10, 2020

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[SIPTA] Fwd: [GAMM COMINDS] Independent Junior Research Group Leader Positions
by Thomas Augustin April 8, 2020

April 8, 2020

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[SIPTA] BELIEF 2020 - Second call for papers
by frederic.pichon April 8, 2020

April 8, 2020

============================================================ 6th International Conference on Belief Functions (BELIEF 2020) Dates: October 23rd-25th, 2020 Location: Shanghai, China Submission deadline: April 15th, 2020 Notification: May 31st, 2020 Final version: June 30th, 2020 Further information: https://www.lgi2a.univ-artois.fr/events/belief2020/ ============================================================ 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 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. 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 2020) will be held in Shanghai, China, on October 23-25, 2020. It will be co-located with the 2020 International Conference on Cognitive analytics, Granular computing, and Three-way decisions (CCGT). The co-location of the two events is intended to favour cross-fertilization among researchers active in both communities. Submission and Proceedings ======================= The proceedings of the BELIEF 2020 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 2020 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 Prof. Huynh Van-Nam (Japan Advanced Institute of Science and Technology) has agreed to give an invited talk at the conference. More to be announced soon. ============================================================ BELIEF-CCGT Conference co-chairs Denoeux Thierry (Université de Technologie de Compiègne, France), Miao Duoqian (Tongji University, Shanghai, China), Yao Yiyu (University of Regina, Canada). BELIEF 2020 Program Committee co-chairs Liu Zhunga (liuzhunga(a)nwpu.edu.cn, Northwestern Polytechnical University, Xian, China), Pichon Frédéric (frederic.pichon(a)univ-artois.fr, Université d'Artois, France). BELIEF 2020 Steering committee Lefevre Eric (Université d'Artois, France), Liu Zhunga (Northwestern Polytechnical University, Xian, China), Mercier David (Université d'Artois, France), Pichon Frederic (Université d'Artois, France), Wei Zhihua (Tongji University, Shanghai, China), Yue Xiaodong (Shanghai University, China) BELIEF 2020 Organisation chair Yue Xiaodong, Shanghai University, China The organisers would be grateful if you could inform potentially interested participants of this conference.

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