BELIEF 2016
The 4th International Conference
on Belief Functions

This is a preliminary version of the conference programme

• 08:50-09:25 Registration
• 09:25-09:30 Opening words
• 09:30-10:30 Evidential clustering: a review of new developments Thierry Denoeux (invited speaker) slides
   
• 10:30-10:50 Coffee break
• 10:50-11:15 Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective Radim Jiroušek, Prakash P. Shenoy
• 11:15-11:40 A New Matrix Addition Rule for Combining Linear Belief Functions Liping Liu
• 11:40-12:05 On Internal Conflict as an External Conflict of a Decomposition of Evidence Alexander Lepskiy
• 12:05-14:00 Lunch
• 14:00-14:25 Designing an Evidential Assertion Language for Multiple Analysts David Burke
• 14:25-14:50 The BF-TOPSIS Approach for Solving Non-Classical MCDM Problems Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Hanlin Yin
• 14:50-15:15 A New ER-MCDA Mapping for Decision-Making based on Imperfect Information Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Guillaume Dupouy, Mireille Batton-Hubert
• 15:15-15:40 Apply ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert
• 16:00 - 19:00 Walking Tour
• 19:00 - 22:00 Conference Dinner

• 09:00-10:00 Conditional independence concept in various uncertainty calculi Milan Studený (invited speaker) slides
   
• 10:00-10:25 Coffee break
• 10:25-10:50 Decision-Making with Belief Interval Distance Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yi Yang
• 10:50-11:15 Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection Nopadon Kronprasert, Nattika Thipnee
• 11:15-11:40 Characterization of Experts in Crowdsourcing Platforms Amal Ben Rjab, Mouloud Kharoune, Zoltan Miklos, Arnaud Martin
• 11:40-12:05 k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denoeux
• 12:05-14:00 Lunch
• 14:00-14:25 SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud
• 14:25-14:50 Semi-supervised Evidential Label Propagation Algorithm for Graph Data Kuang Zhou, Arnaud Martin, Quan Pan
• 14:50-15:15 Conjunctive Rules in the Theory of Belief Functions and Their Justification through Decisions Models Andrey Bronevich, Igor Rozenberg
• 15:15-15:40 A Relationship of Conflicting Belief Masses to Open World Assumption Milan Daniel
• 15:40-16:05 Coffee break
• 16:05-16:30 Idempotent Conjunctive Combination of Belief Functions by Distance Minimization John Klein, Sebastien Destercke, Olivier Colot
• 16:30-16:55 IPFP and Further Experiments Václav Kratochvíl, Jiřina Vejnarová
• 16:55-17:20 Entropy-Based Counter-Deception in Information Fusion Johan Schubert
• 17:20-17:45 Identification of Elastic Properties Based on Belief Functions Inference Liqi Sui, Pierre Feissel, Thierry Denoeux

• 09:00-09:25 D-S Theory for Argument Confidence Assessment Rui Wang, Jérémie Guiochet, Gilles Motet, Walter Schön
• 09:25-09:50 Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski
• 09:50-10:15 The Capacitated Vehicle Routing Problem with Evidential Demands: a Belief-Constrained Programming Approach Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Éric Lefévre
• 10:15-10:40 Coffee break
• 10:40-11:05 An Evidential Pixel-Based Face Blurring Approach Pauline Minary, Frédéric Pichon, David Mercier, Éric Lefévre, Benjamin Droit
• 11:05-11:30 Integrity Preserving Belief Update for Recursive Bayesian Tracking with Non-ideal Sensors Thanuka Wickramarathne
• 11:30-11:55 An Evidential RANSAC Algorithm and its Application to GNSS Positioning Salim Zair, Sylvie Le Hégarat-Mascle, Emmanuel Seignez
• 11:55-12:40 BFAS General meeting & Closing words
• 12:40 Lunch