BELIEF 2022

7th International Conference on Belief Functions, October 26-28, 2022, Paris, France.



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The international conference dedicated to belief functions


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. It has been applied in diverse areas such as machine learning, information fusion and risk analysis.

The biennal BELIEF conferences, sponsored by the Belief Functions and Applications Society, 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. Later editions were held in Compiègne, France in 2012, Oxford, UK in 2014, Prague, Czech Republic in 2016, and again in Compiègne, France in 2018. The previous edition was delayed by the global pandemic and took place in 2021 in Beijing, China. The Seventh International Conference on Belief Functions (BELIEF 2022) will be located in Paris, France, and it will take place on October 26-28, 2022.

Important dates

  • April 10, 2022: Special session submission deadline
  • April 17, 2022: Special session acceptance notification
  • May 1 May 15, 2022: Paper submission deadline
  • June 5 June 19, 2022: Author notification
  • July 3, 2022: Camera-ready copy due

Proceedings

Proceedings of BELIEF 2022 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.

IJAR Best Paper Award

Thanks to the continued support of the International Journal of Approximate Reasoning, the best papers presented at the conference will be distinguished by the IJAR Best Paper Award. The prize will consist of a certificate and 1000 euros, which will be split between the winners.

Author instructions

Authors should submit their papers through Easychair - conference BELIEF 2022 following the Springer LNCS/LNAI series template, also available in Overleaf.

The expected length of papers is no longer than 10 pages, references included, that should present original contributions with significant results. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, will have to 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.

Topics

Original contributions are solicited on theoretical aspects including, but not limited to

  • Combination rules
  • Conditioning
  • Continuous belief functions
  • Independence and graphical models
  • Geometry and distance metrics
  • Mathematical foundations
  • Computational frameworks
  • Data and information fusion
  • Links with other uncertainty theories
  • Tracking and data association
  • Statistical Inference
  • Machine Learning and Pattern recognition
  • Evidential Clustering and Classification

as well as on applications to various areas including, but not limited to

  • Applications in network analysis
  • Applications in environment and climate change
  • Applications in biology and medical diagnosis
  • Applications in risk and reliability analysis
  • Applications in business and economics
  • Applications in vision and image processing

IJAR Special issue

Authors of selected papers from the BELIEF 2022 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.

Special Session Proposal

The BELIEF 2022 Organizing Committee invites proposals for Special Sessions on specific or emerging topics in image processing, such as specific applications as well as the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, learning data fusion rules, links with symbolic AI. Proposals will be evaluated based on topic timeliness and expected impact. The papers in each accepted Special Session will undergo a review process similar to that of the regular papers submitted to BELIEF 2022. Special Session proposals must contain the following information:

  • Title of the proposed Special Session
  • Names, affiliations, and contact information of the session organizers
  • Brief biographies of the session organizers
  • Brief description of the proposed session topic
  • Tentative list of papers (title, authors)

belief2022@bfasociety.org

Keynote speakers

Keynote speakers

Rémi Bardenet's photo

Researcher Rémi Bardenet, CRIStAL, CNRS and Lille University, France.

Title: Topics in Monte Carlo computation and Bayesian learning

Abstract: to be announced.

Stéphane Canu's photo

Professor Stéphane Canu, INSA Rouen, France.

Title: Robustness of neural networks and adversarial attacks

Abstract: to be announced.

Philippe Xu's photo

Assoc. Professor Philippe Xu, Université de Technologie de Compiègne, France.

Title: Fusion of heterogeneous deep neural networks with belief functions

Abstract: to be announced.

Venue and Registration


To accommodate for the uncertainties surrounding travel possibilities due to the COVID-19 pandemic, participants have two options to attend the conference: either online or onsite.

The event will take place at the Sorbonne Center for Artificial Intelligence (SCAI). There are multiple ways to arrive to the conference site: on subway (Metro lines 7 or 10), by taxi, or by bus.


The registration details and procedure will be announced below, later in the Spring of 2022.

The payment method will be online payment by credit card. In addition, for French participants there will be an option to pay by CNRS purchase order ("bon de commande CNRS").

Committees

BELIEF 2022 Program Committee Chairs

  • Sylvie Le Hégarat-Mascle, Paris-Saclay University, France
  • Isabelle Bloch, Sorbonne Université, France

BELIEF 2022 Steering committee

  • Thierry Denœux, Université de Technologie de Compiègne, France
  • Sylvie Le Hégarat-Mascle, Paris-Saclay University, France
  • Isabelle Bloch, Sorbonne Université, France
  • Emanuel Aldea, Paris-Saclay University, France
  • Frédéric Pichon, Université d'Artois, France

BELIEF 2022 Publication chair

  • Sylvie Le Hégarat-Mascle, Paris-Saclay University, France

BELIEF 2022 Publicity co-chairs

  • David Mercier, Université d'Artois, France
  • Emanuel Aldea, Paris-Saclay University, France

BELIEF 2022 Organisation committee

  • Sylvie Le Hégarat-Mascle, Paris-Saclay University, France
  • Isabelle Bloch, Sorbonne Université, France
  • Emanuel Aldea, Paris-Saclay University, France
  • Xavier Fresquet, Sorbonne Université, France
  • Nora Roger, Sorbonne Université, France
  • Sophie Abriet, CNRS, France

BELIEF 2022 Program committee

  • Emanuel Aldea, Paris-Saclay University, France
  • Alessandro Antonucci, Dalle Molle Institute for Artificial Intelligence, Lugano, Switzerland
  • Isabelle Bloch, Sorbonne Université, France
  • Ines Couso, University of Oviedo, Oviedo, Spain
  • Fabio Cuzzolin, Oxford Brookes University, Oxford, UK
  • Thierry Denœux, Université de Technologie de Compiègne, France
  • Sébastien Destercke, Université de Technologie de Compiègne, France
  • Jean Dezert, ONERA, Palaiseau, France
  • Didier Dubois, Toulouse Institute of Computer Science Research, Toulouse, France
  • Zied Elouedi, Institut Supérieur de Gestion de Tunis, Tunisia
  • Sabine Frittella, Université d'Orléans, France
  • Radim Jiroušek, University of Economics, Prague, Czech Republic
  • Anne-Laure Jousselme, Centre for Maritime Research and Experimentation, La Spezia, Italy
  • John Klein, Université de Lille, France
  • Vaclav Kratochvil, Institute of Information Theory and Automation, CAS, Prague, Czech Republic
  • Sylvie Le Hégarat-Mascle, Paris-Saclay University, France
  • Éric Lefèvre , Université d'Artois, France
  • Xinde Li, Southeast University, Nanjing, China
  • Zhunga Liu, Northwestern Polytechnical University, Xi'an, China
  • Arnaud Martin, Université de Rennes 1, Rennes, France
  • Ryan Martin, North Carolina State University, USA
  • David Mercier, Université d'Artois, France
  • Enrique Miranda, University of Oviedo, Oviedo, Spain
  • Serafín Moral, University of Granada, Granada, Spain
  • Frédéric Pichon, Université d'Artois, France
  • Benjamin Quost, Université de Technologie de Compiègne, France
  • Emmanuel Ramasso, École nationale supérieure de mécanique et des microtechniques, France
  • Roger Reynaud, Paris-Saclay University, France
  • Johan Schubert, Swedish Defence Research Agency, Sweden
  • Prakash Shenoy, University of Kansas, USA