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ORCIDBelief Functions 2012: Compiègne, France
- Thierry Denoeux, Marie-Hélène Masson:
Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012. Advances in Intelligent and Soft Computing 164, Springer 2012, ISBN 978-3-642-29460-0 - Hung T. Nguyen:
On Belief Functions and Random Sets. 1-19 - Sawsan Kanj, Fahed Abdallah
, Thierry Denoeux:
Evidential Multi-label Classification Using the Random k-Label Sets Approach. 21-28 - Jianbing Ma, Weiru Liu, Paul Miller:
An Evidential Improvement for Gender Profiling. 29-36 - Alessandro Antonucci:
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics. 37-44 - Anne-Laure Jousselme, Patrick Maupin:
An Evidential Pattern Matching Approach for Vehicle Identification. 45-52 - Anthony Fiche, Arnaud Martin, Jean-Christophe Cexus, Ali Khenchaf:
A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Pattern Recognition. 53-60 - Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni:
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions. 61-68 - Stefen Chan Wai Tim, Michèle Rombaut, Denis Pellerin:
Adaptive Initialization of a EvKNN Classification Algorithm. 69-76 - Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Classification Trees Based on Belief Functions. 77-84 - Fatma Karem, Mounir Dhibi, Arnaud Martin:
Combination of Supervised and Unsupervised Classification Using the Theory of Belief Functions. 85-92 - Jean-Marc Vannobel:
Continuous Belief Functions: Focal Intervals Properties. 93-100 - Fabio Cuzzolin:
Game-Theoretical Semantics of Epistemic Probability Transformations. 101-108 - Fabio Cuzzolin:
Generalizations of the Relative Belief Transform. 109-116 - Mikhail Timonin:
Choquet Integral as Maximum of Integrals with Respect to Belief Functions. 117-124 - Fabio Cuzzolin:
Consonant Approximations in the Belief Space. 125-133 - Christophe Osswald:
Controling the Number of Focal Elements - Some Combinatorial Considerations. 135-143 - Thomas Burger, Sébastien Destercke:
Random Generation of Mass Functions: A Short Howto. 145-152 - Sébastien Destercke, Thomas Burger:
Revisiting the Notion of Conflicting Belief Functions. 153-160 - Arnaud Martin:
About Conflict in the Theory of Belief Functions. 161-168 - Johan Schubert:
The Internal Conflict of a Belief Function. 169-177 - Milan Daniel:
Plausibility in DSmT. 179-187 - John Klein, Olivier Colot:
A Belief Function Model for Pixel Data. 189-196 - Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. 197-204 - Amel Znaidia, Hervé Le Borgne, Céline Hudelot:
Belief Theory for Large-Scale Multi-label Image Classification. 205-212 - Mohammad Shoyaib, Mohammad Abdullah-Al-Wadud, S. M. Zahid Ishraque, Oksam Chae:
Facial Expression Classification Based on Dempster-Shafer Theory of Evidence. 213-220 - Radim Jirousek, Prakash P. Shenoy:
Compositional Models in Valuation-Based Systems. 221-228 - Imen Boukhris, Salem Benferhat, Zied Elouedi:
Ascribing Causality from Interventional Belief Function Knowledge. 229-237 - Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane:
About Sources Dependence in the Theory of Belief Functions. 239-246 - Jirina Vejnarová:
On Random Sets Independence and Strong Independence in Evidence Theory. 247-254 - Liping Liu:
Combining Linear Equation Models via Dempster's Rule. 255-265 - Melita Hadzagic, Marie-Odette St-Hilaire, Pierre Valin:
Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion. 267-274 - Jean Dezert, Deqiang Han, Zhunga Liu, Jean-Marc Tacnet:
Hierarchical Proportional Redistribution for bba Approximation. 275-283 - Frédéric Pichon:
On the α-Conjunctions for Combining Belief Functions. 285-292 - Gavin Powell, Matthew Roberts, Dafni Stampouli:
Improvements to the GRP1 Combination Rule. 293-300 - Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi:
Consensus-Based Credibility Estimation of Soft Evidence for Robust Data Fusion. 301-309 - Marie-Hélène Masson, Thierry Denoeux:
Ranking from Pairwise Comparisons in the Belief Functions Framework. 311-318 - Magdalena Szczot, Otto Löhlein, Günther Palm:
Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition. 319-326 - Jérémie Daniel, Jean-Philippe Lauffenburger:
Multi-level Dempster-Shafer Speed Limit Assistant. 327-334 - Arnaud Roquel, Sylvie Le Hégarat-Mascle, Isabelle Bloch, Bastien Vincke:
A New Local Measure of Disagreement between Belief Functions - Application to Localization. 335-342 - Marek Kurdej, Julien Moras, Véronique Cherfaoui, Philippe Bonnifait:
Map-Aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment. 343-350 - Nicole El Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denoeux:
Distributed Data Fusion for Detecting Sybil Attacks in VANETs. 351-358 - Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni:
Partially-Hidden Markov Models. 359-366 - Chuanhai Liu, Jun Xie:
Large Scale Multinomial Inferences and Its Applications in Genome Wide Association Studies. 367-374 - Alessio Benavoli:
Belief Function Robustness in Estimation. 375-383 - Didier Dubois, Thierry Denoeux:
Conditioning in Dempster-Shafer Theory: Prediction vs. Revision. 385-392 - Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux:
Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation. 393-400 - Jean Dezert, Jean-Marc Tacnet:
Sigmoidal Model for Belief Function-Based Electre Tri Method. 401-408 - Bastien Pietropaoli, Michele Dominici, Frédéric Weis:
Belief Inference with Timed Evidence - Methodology and Application Using Sensors in a Smart Home. 409-416 - Loïc Fricoteaux, Indira Thouvenin, Jérôme Olive, Paul George:
Evidential Network with Conditional Belief Functions for an Adaptive Training in Informed Virtual Environment. 417-424 - Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani:
Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. 425-432 - Felipe Aguirre, Mohamed Sallak, Walter Schön, Fabien Belmonte:
A Quantitative Study of the Occurrence of a Railway Accident Based on Belief Functions. 433-440
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