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ORCID6th BELIEF 2021: Shanghai, China
- Thierry Denoeux
, Eric Lefèvre, Zhunga Liu, Frédéric Pichon:
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings. Lecture Notes in Computer Science 12915, Springer 2021, ISBN 978-3-030-88600-4
Clustering
- Zuowei Zhang, Arnaud Martin, Zhunga Liu, Kuang Zhou, Yiru Zhang:
Fast Unfolding of Credal Partitions in Evidential Clustering. 3-12 - Zuowei Zhang, Zhunga Liu, Kuang Zhou, Arnaud Martin, Yiru Zhang:
Credal Clustering for Imbalanced Data. 13-21 - Kuang Zhou, Mei Guo, Ming Jiang:
Evidential Weighted Multi-view Clustering. 22-32 - Yiru Zhang, Arnaud Martin:
Unequal Singleton Pair Distance for Evidential Preference Clustering. 33-43
Transfer Learning
- Lianmeng Jiao, Feng Wang, Quan Pan:
Transfer Evidential C-Means Clustering. 47-55 - Kuang Zhou, Mei Guo, Arnaud Martin:
Evidential Clustering Based on Transfer Learning. 56-65 - Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu:
Ensemble of Adapters for Transfer Learning Based on Evidence Theory. 66-75
Classification
- Long-Hao Yang, Jun Liu, Ying-Ming Wang, Hui Wang, Luis Martínez:
Improving Micro-Extended Belief Rule-Based System Using Activation Factor for Classification Problems. 79-86 - Chao Sun, Xiaoxia Han, Wei He, Hailong Zhu:
Orbit Classification for Prediction Based on Evidential Reasoning and Belief Rule Base. 87-95 - Jiawei Niu, Zhunga Liu:
Imbalance Data Classification Based on Belief Function Theory. 96-104 - Kangkai Gao, Liyao Ma, Yong Wang:
A Classification Tree Method Based on Belief Entropy for Evidential Data. 105-114
Statistical Inference and Learning
- Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy:
Entropy-Based Learning of Compositional Models from Data. 117-126 - Leonardo Cella, Ryan Martin:
Approximately Valid and Model-Free Possibilistic Inference. 127-136 - Ryan Martin:
Towards a Theory of Valid Inferential Models with Partial Prior Information. 137-146 - Cong Xu, Zhi-Jie Zhou, Wei He, Hailong Zhu, Yanzi Gao:
Ensemble Learning Based on Evidential Reasoning Rule with a New Weight Calculation Method. 147-156
Deep Learning
- Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Evidential Segmentation of 3D PET/CT Images. 159-167 - Zheng Tong, Philippe Xu, Thierry Denoeux:
Fusion of Evidential CNN Classifiers for Image Classification. 168-176 - Zhikang Xu, Bofeng Zhang, Haijie Fu, Xiaodong Yue, Ying Lv:
Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification. 177-184 - Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep Evidential Fusion Network for Image Classification. 185-193
Conflict, Inconsistency and Specificity
- Alexander Lepskiy:
Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line. 197-206 - Nadia Ben Abdallah, Sébastien Destercke, Anne-Laure Jousselme, Frédéric Pichon:
Logical and Evidential Inconsistencies Meet: First Steps. 207-214 - Anne-Laure Jousselme, Frédéric Pichon, Nadia Ben Abdallah, Sébastien Destercke:
A Note About Entropy and Inconsistency in Evidence Theory. 215-223 - Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre:
An Extension of Specificity-Based Approximations to Other Belief Function Relations. 224-233
Information Fusion
- Hongfei Wang, Wen Jiang, Xinyang Deng, Jie Geng:
A New Multi-source Information Fusion Method Based on Belief Divergence Measure and the Negation of Basic Probability Assignment. 237-246 - Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions. 247-256
Elicitation
- Constance Thierry, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall:
Validation of Smets' Hypothesis in the Crowdsourcing Environment. 259-268 - Yassir Idmessaoud, Didier Dubois, Jérémie Guiochet:
Quantifying Confidence of Safety Cases with Belief Functions. 269-278
Algorithms and Computation
- Juan Jesús Salamanca:
Discussions on the Connectedness of a Random Closed Set. 281-290 - Noelia Rico, Luigi Troiano, Irene Díaz:
An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation. 291-299 - Jixiang Deng, Yong Deng:
QLEN: Quantum-Like Evidential Networks for Predicting the Decision in Prisoner's Dilemma. 300-308
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