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BELIEF 2014
3rd International Conference on Belief Functions

 

               

       
List of accepted papers

  • Thomas Burger. Geometric interpretations of conflict: a viewpoint

  • Radim Jirousek and Prakash P. Shenoy. Causal Compositional Models in Valuation-Based Systems

  • Mehena Loudahi, John Klein, Jean-Marc Vannobel and Olivier Colot. Fast computation of Lp norm based specialization distances between bodies of evidence

  • John Klein, Mehena Loudahi, Jean-Marc Vannobel and Olivier Colot. Alpha-junctions of categorical mass functions

  • Frédéric Pichon, David Mercier, Francois Delmotte and Eric Lefèvre. Truthfulness in contextual information correction

  • Andrey Bronevich and Igor Rozenberg. The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecision Indices

  • Jean Dezert and Kaouthar Benameur. On the quality of optimal assignment for data association

  • Orakanya Kanjanatarakul, Philai Lertpongpiroon, Sombat Singkharat and Songsak Sriboonchitta. Econometric forecasting using linear regression and belief functions

  • Wlodzimierz Filipowicz. Mathematical Theory of Evidence in Navigation

  • Joachim Clemens and Thomas Reineking. Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep Ice

  • Janith Heendeni P Don, Kamal Premaratne, Manohar Murthi and Matthias Scheutz. Modelling and Fusion of Imperfect Implication Rules

  • Philippe Xu, Franck Davoine and Thierry Denoeux. Evidential logistic regression for SVM classifier calibration

  • Wafa Rekik, Sylvie Le Hégarat-Mascle, Cyrille Andre, Abdelaziz Kallel, Roger Reynaud and Ahmed Ben Hamida. Data association for objects enumeration using belief function theory

  • Xiaolu Ke, Liyao Ma and Yong Wang. Some Notes on the Canonical Decomposition

  • Liping Liu. A Relational Representation of Belief Functions

  • Ahmed Samet, Eric Lefevre and Sadok Ben Yahia. Evidential Database: a new generalization of databases?

  • Supanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta and Thierry Denoeux. The Evidence-theoretic k-NN Rule for Rank-ordered Data: Application to Predicting an Individual’s Sources of Borrowing

  • Ahmad Osman, Valerie Kaftandjian and Ulf Hassler. Application of Belief Functions theory to Non Destructive Testing of industrial pieces

  • Alexander Lepskiy. General schemes of combining rules and the characteristic of quality of combination

  • Kittawit Autchariyapanitkul, Songsak Sriboonchitta and Thierry Denoeux. Predicting stock returns in the capital asset pricing model using quantile regression and belief functions

  • Amel Ennaceur, Zied Elouedi and Eric Lefevre. Modeling Qualitative Assessments under the Belief Function Framework

  • Faiza Titouna and Salem Benferhat. Merging possibilistic networks through a disjunctive model

  • Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin and Boutheina Ben Yaghlane. Belief Approach for Social Networks

  • Thomas Reineking and Kerstin Schill. Evidential Object Recognition based on Information Gain Maximization

  • Wiem Maalel, Kuang Zhou, Arnaud Martin and Zied Elouedi. Belief Hierarchical Clustering

  • Mira Bou Farah, David Mercier, Francois Delmotte, Eric Lefevre and Sylvain Lagrue. Methods handling accident and traffic jam information with belief functions in VANETs

  • Yanyan He and Mohammad Hussaini. An Optimal Unified Combination Rule

  • Deqiang Han, Jean Dezert and Yi Yang. New Distance Measures of Evidence based on Belief Intervals

  • Benjamin Quost. Logistic Regression of Soft Labeled Instances via the Evidential EM Algorithm

  • Jian-Bo Yang and Dong-Ling Xu. A Study on Generalising Bayesian Inference to Evidential Reasoning

  • Hasan İhsan Turhan, Mubeccel Demirekler and Melih Günay. A Novel Methodology for Target Classification Based on Dempster-Shafer Theory

  • Imen Hammami, Jean Dezert, Grégoire Mercier and Atef Hamouda. On the estimation of mass functions using Self Organizing Maps

  • Yongjun Xu, Lin Wu, Xianbin Wu and Zhiwei Xu. Belief fusion of predictions of industries in China’s stock market

  • Nicolas Sutton-Charani, Sébastien Destercke and Thierry Denoeux. Training and evaluating classifiers from evidential data: application to E2M tree pruning

  • Jungyeul Park, Mouna Chebbah, Siwar Jendoubi and Arnaud Martin. Second-order Belief Hidden Markov Models

  • Samir Hachour, François Delmotte and David Mercier. A new parameterless credal method to track-to-track assignment problem

  • Jean-Christophe Dubois, Yolande Le Gall and Arnaud Martin. Designing a belief function-based accessibility indicator to draw disabled people to the most adapted Web pages

  • Milan Daniel. Conflict between Belief Functions: a New Measure Based on their Non-Conflicting Parts

  • Malcolm Beynon. Reflections on DS/AHP: Lessons to be learnt

  • Malcolm Beynon and Rhys Andrews. Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis

  • Malcolm Beynon and Rhys Andrews. Expositing Social Capital and Engagement: An analysis using Evidential C-Means

  • Johan Schubert. Partial Ranking by Incomplete Pairwise Comparisons using Preference Subsets

  • Faouzi Sebbak, Farid Benhammadi, Sofiane Bouznad, Abdelghani Chibani and Yacine Amirat. An Evidential Fusion Rule for Ambient Intelligence for Activity Recognition

  • Jirina Vejnarova. On Marginal Problem in Evidence Theory

  • Yaxin Bi. Evidential Fusion for Sentiment Polarity Classification

  • Narjes Ben Hariz and Boutheina Ben Yaghlane. Learning Parameters in Directed Evidential Networks with Conditional Belief Functions

  • Nopadon Kronprasert and Antti Talvitie. Belief Reasoning Model for Mapping Public Participation in Transportation Planning