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BELIEF 2018: Compiègne, France
- Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin:
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings. Lecture Notes in Computer Science 11069, Springer 2018, ISBN 978-3-319-99382-9 - Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi:
An Evidential Collaborative Filtering Approach Based on Items Contents Clustering. 1-9 - Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
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The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks. 10-13 - Violaine Antoine, Kévin Gravouil
On Evidential Clustering with Partial Supervision. 14-21 - Safa Ben Ayed
Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance. 22-30 - Andrey G. Bronevich, Igor N. Rozenberg
The Kantorovich Problem and Wasserstein Metric in the Theory of Belief Functions. 31-38 - Fabio Cuzzolin:
Generalised Max Entropy Classifiers. 39-47 - Fabio Cuzzolin:
General Geometry of Belief Function Combination. 48-56 - Thierry Denoeux
Logistic Regression Revisited: Belief Function Analysis. 57-64 - Sébastien Destercke
From Relations Between Sets to Relations Between Belief Functions. 65-72 - Théo Dezert
Application of Belief Functions to Levee Assessment. 73-76 - Didier Dubois, Francis Faux, Henri Prade:
Prejudiced Information Fusion Using Belief Functions. 77-85 - Akli Fundo, Dritan Nace, Chenghao Wang
A Heuristic Approach for the Robust Flight Level Assignment Problem. 86-94 - Romain Guyard, Véronique Cherfaoui:
Study of Distributed Data Fusion Using Dempster's Rule and Cautious Operator. 95-102 - Ali Hamache, Mohamed El Yazid Boudaren, Houdaifa Boukersoul, Islam Debicha
Uncertainty-Aware Parzen-Rosenblatt Classifier for Multiattribute Data. 103-111 - Ayyoub Imakhlaf, Mohamed Sallak
Birnbaum's Importance Measure Extended for Non-coherent Systems. 112-120 - Siwar Jendoubi, Mouna Chebbah, Arnaud Martin:
Evidential Independence Maximization on Twitter Network. 121-128 - Siwar Jendoubi, Didier Coquin, Reda Boukezzoula:
An Evidential k-nearest Neighbors Combination Rule for Tree Species Recognition. 129-136 - Lianmeng Jiao
A Compact Belief Rule-Based Classification System with Evidential Clustering. 137-145 - Radim Jirousek, Prakash P. Shenoy
A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory. 146-154 - Orakanya Kanjanatarakul, Siwarat Kuson, Thierry Denoeux
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization. 155-162 - Costis Melolidakis, Stefanos Leonardos
Measuring Market Performance with Stochastic Demand: Price of Anarchy and Price of Uncertainty. 163-171 - Alexander Lepskiy
On the Conflict Measures Agreed with the Combining Rules. 172-180 - Liping Liu:
Linear Belief Functions for Data Analytics. 181-189 - Ignacio Montes
Outer Approximations of Coherent Lower Probabilities Using Belief Functions. 190-198 - Nadia Ben Abdallah, Anne-Laure Jousselme
An Ordered Family of Consistency Measures of Belief Functions. 199-207 - Sébastien Ramel, Frédéric Pichon, François Delmotte:
Active Evidential Calibration of Binary SVM Classifiers. 208-216 - Aouatef Rouahi, Kais Ben Salah, Khaled Ghédira:
Decision Making: A Beliefs, Preferences and Constraints Model. 217-225 - Juan Jesús Salamanca
Belief and Plausibility Functions on the Space of Scalar Products and Applications. 226-233 - Zhi-gang Su, Hongyu Zhou, Pei-hong Wang, Gang Zhao, Ming Zhao:
E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm. 234-242 - Pedro Terán, Elisa Pis Vigil:
Contrasting Two Laws of Large Numbers from Possibility Theory and Imprecise Probability. 243-251 - Qian Wang, Zhi-gang Su:
Improved Performance of EK-NNClus by Selecting Appropriate Parameter. 252-259 - Yiru Zhang
An Empirical Study to Determine the Optimal k in Ek-NNclus Method. 260-268 - Kuang Zhou, Quan Pan, Arnaud Martin:
Evidential Community Detection Based on Density Peaks. 269-277
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