BELIEF 2021

6th International Conference on Belief Functions, October 15-19, 2021, Shanghai, China.

Collocated with The 1st International Conference on Cognitive Analytics, Granular Computing, and Three-Way Decisions (CCGT 2021)



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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.

The 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, 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 held in Shanghai, China, on October 15-19, 2021. It will be co-located 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.

Important dates

  • April 15: Paper submission deadline
  • May 31: Author notification
  • June 30: Camera-ready copy due

Proceedings

Proceedings of BELIEF 2021 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 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.

Author instructions

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

The expected length of papers is no longer than 8 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

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.

Venue

The conference will be held totally or partially online depending on the evolution of the COVID-19 situation.

Committees

BELIEF-CCGT Conference co-chairs

  • Thierry Denœux, 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, Northwestern Polytechnical University, Xian, China
  • Frédéric Pichon, Université d'Artois, France

BELIEF 2021 Steering committee

  • Éric Lefèvre, 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 Publication chair

  • Éric Lefèvre, Université d'Artois, France

BELIEF 2021 Publicity co-chairs

  • David Mercier, Université d'Artois, France
  • Xiaodong Yue, Shanghai University, China

BELIEF 2021 Organisation committee

  • Xiaodong Yue, Shanghai University, China

BELIEF 2021 Technical program committee

  • Alessandro Antonucci, Dalle Molle Institute for Artificial Intelligence, Lugano, Switzerland
  • Olivier Colot, Université de Lille, France
  • Ines Couso, University of Oviedo, Oviedo, Spain
  • Fabio Cuzzolin, Oxford Brookes University, Oxford, UK
  • Yong Deng, University of Electronic Science and Technology of China
  • Thierry Denoeux, 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
  • Chao Fu, Hefei University of Technology, Hefei, China
  • Ruobin Gong, Rudgers University, USA
  • Deqian Han, Xi’an Jiaotong University, Xi'An, China
  • 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
  • Éric Lefèvre , Université d'Artois, France
  • Xinde Li, Southeast University, Nanjing, China
  • Liping Liu, University of Akron, USA
  • Liyao Ma, University of Jinan, Jinan, 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
  • Benjamin Quost, Université de Technologie de Compiègne, France
  • Emmanuel Ramasso, École nationale supérieure de mécanique et des microtechniques, France
  • Johan Schubert, Swedish Defence Research Agency, Sweden
  • Prakash Shenoy, University of Kansas, USA
  • Zhigang Su, Southeast University, Nanjing, China
  • Barbara Vantaggi, University of Rome La Sapienza, Roma, Italy