Belief Functions: Theory and Applications

1. On Belief Functions and Random Sets
Hung T. Nguyen

2. Evidential Multi-label Classification Using the Random k-Label Sets Approach
Sawsan Kanj, Fahed Abdallah, Thierry Denœux

3. An Evidential Improvement for Gender Profiling
Jianbing Ma, Weiru Liu, Paul Miller

4. An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics
Alessandro Antonucci

5. An Evidential Pattern Matching Approach for Vehicle Identification
Anne-Laure Jousselme, Patrick Maupin

6. A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Pattern Recognition
Anthony Fiche, Arnaud Martin, Jean-Christophe Cexus, Ali Khenchaf

7. Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions
Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni

8. Adaptive Initialization of a EvKNN Classification Algorithm
Stefen Chan Wai Tim, Michèle Rombaut, Denis Pellerin

9. Classification Trees Based on Belief Functions
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denœux

10. Combination of Supervised and Unsupervised Classification Using the Theory of Belief Functions
Fatma Karem, Mounir Dhibi, Arnaud Martin

11. Continuous Belief Functions: Focal Intervals Properties
Jean-Marc Vannobel

12. Game-Theoretical Semantics of Epistemic Probability Transformations
Fabio Cuzzolin

13. Generalizations of the Relative Belief Transform
Fabio Cuzzolin

14. Choquet Integral as Maximum of Integrals with Respect to Belief Functions
Mikhail Timonin

15. Consonant Approximations in the Belief Space
Fabio Cuzzolin

16. Controling the Number of Focal Elements
Christophe Osswald

17. Random Generation of Mass Functions: A Short Howto
Thomas Burger, Sébastien Destercke

18. Revisiting the Notion of Conflicting Belief Functions
Sébastien Destercke, Thomas Burger

19. About Conflict in the Theory of Belief Functions
Arnaud Martin

20. The Internal Conflict of a Belief Function
Johan Schubert

21. Plausibility in DSmT
Milan Daniel

22. A Belief Function Model for Pixel Data
John Klein, Olivier Colot

23. Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan

24. Belief Theory for Large-Scale Multi-label Image Classification
Amel Znaidia, Hervé Borgne, Céline Hudelot

25. Facial Expression Classification Based on Dempster-Shafer Theory of Evidence
Mohammad Shoyaib, M. Abdullah-Al-Wadud, S. M. Zahid Ishraque, Oksam Chae

26. Compositional Models in Valuation-Based Systems
Radim Jiroušek, Prakash P. Shenoy

27. Ascribing Causality from Interventional Belief Function Knowledge
Imen Boukhris, Salem Benferhat, Zied Elouedi

28. About Sources Dependence in the Theory of Belief Functions
Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane

29. On Random Sets Independence and Strong Independence in Evidence Theory
Jiřina Vejnarová

30. Combining Linear Equation Models via Dempster’s Rule
Liping Liu

31. Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion
Melita Hadzagic, Marie-Odette St-Hilaire, Pierre Valin

32. Hierarchical Proportional Redistribution for bba Approximation
Jean Dezert, Deqiang Han, Zhunga Liu, Jean-Marc Tacnet

33. On the α-Conjunctions for Combining Belief Functions
Frédéric Pichon

34. Improvements to the GRP1 Combination Rule
Gavin Powell, Matthew Roberts, Dafni Stampouli

35. Consensus-Based Credibility Estimation of Soft Evidence for Robust Data Fusion
Thanuka L. Wickramarathne, Kamal Premaratne, Manohar N. Murthi

36. Ranking from Pairwise Comparisons in the Belief Functions Framework
Marie-Hélène Masson, Thierry Denœux

37. Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition
Magdalena Szczot, Otto Löhlein, Günther Palm

38. Multi-level Dempster-Shafer Speed Limit Assistant
Jérémie Daniel, Jean-Philippe Lauffenburger

39. A New Local Measure of Disagreement between Belief Functions – Application to Localization
Arnaud Roquel, Sylvie Hégarat-Mascle, Isabelle Bloch, Bastien Vincke

40. Map-Aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment
Marek Kurdej, Julien Moras, Véronique Cherfaoui, Philippe Bonnifait

41. Distributed Data Fusion for Detecting Sybil Attacks in VANETs
Nicole Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denœux

42. Partially-Hidden Markov Models
Emmanuel Ramasso, Thierry Denœux, Noureddine Zerhouni

43. Large Scale Multinomial Inferences and Its Applications in Genome Wide Association Studies
Chuanhai Liu, Jun Xie

44. Belief Function Robustness in Estimation
Alessio Benavoli

45. Conditioning in Dempster-Shafer Theory: Prediction vs. Revision
Didier Dubois, Thierry Denœux

46. Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation
Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denœux

47. Sigmoidal Model for Belief Function-Based Electre Tri Method
Jean Dezert, Jean-Marc Tacnet

48. Belief Inference with Timed Evidence
Bastien Pietropaoli, Michele Dominici, Fréedéric Weis

49. Evidential Network with Conditional Belief Functions for an Adaptive Training in Informed Virtual Environment
Loïc Fricoteaux, Indira Thouvenin, Jérôme Olive, Paul George

50. Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks
Mustapha Reda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani

51. A Quantitative Study of the Occurrence of a Railway Accident Based on Belief Functions
Felipe Aguirre, Mohamed Sallak, Walter Schön, Fabien Belmonte

Nyckelord: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics)