Abstract is missing.
- Fast Unfolding of Credal Partitions in Evidential ClusteringZuowei Zhang, Arnaud Martin, Zhunga Liu, Kuang Zhou, Yiru Zhang. 3-12 [doi]
- Credal Clustering for Imbalanced DataZuowei Zhang, Zhunga Liu, Kuang Zhou, Arnaud Martin, Yiru Zhang. 13-21 [doi]
- Evidential Weighted Multi-view ClusteringKuang Zhou, Mei Guo, Ming Jiang. 22-32 [doi]
- Unequal Singleton Pair Distance for Evidential Preference ClusteringYiru Zhang, Arnaud Martin. 33-43 [doi]
- Transfer Evidential C-Means ClusteringLianmeng Jiao, Feng Wang, Quan Pan. 47-55 [doi]
- Evidential Clustering Based on Transfer LearningKuang Zhou, Mei Guo, Arnaud Martin. 56-65 [doi]
- Ensemble of Adapters for Transfer Learning Based on Evidence TheoryYing Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu. 66-75 [doi]
- Improving Micro-Extended Belief Rule-Based System Using Activation Factor for Classification ProblemsLong-Hao Yang, Jun Liu 0001, Ying-Ming Wang 0001, Hui Wang 0001, Luis Martínez 0001. 79-86 [doi]
- Orbit Classification for Prediction Based on Evidential Reasoning and Belief Rule BaseChao Sun, Xiaoxia Han, Wei He 0008, Hailong Zhu. 87-95 [doi]
- Imbalance Data Classification Based on Belief Function TheoryJiawei Niu, Zhunga Liu. 96-104 [doi]
- A Classification Tree Method Based on Belief Entropy for Evidential DataKangkai Gao, Liyao Ma, Yong Wang. 105-114 [doi]
- Entropy-Based Learning of Compositional Models from DataRadim Jirousek, Václav Kratochvíl, Prakash P. Shenoy. 117-126 [doi]
- Approximately Valid and Model-Free Possibilistic InferenceLeonardo Cella, Ryan Martin. 127-136 [doi]
- Towards a Theory of Valid Inferential Models with Partial Prior InformationRyan Martin. 137-146 [doi]
- Ensemble Learning Based on Evidential Reasoning Rule with a New Weight Calculation MethodCong Xu, Zhi-Jie Zhou, Wei He 0008, Hailong Zhu, Yanzi Gao. 147-156 [doi]
- Evidential Segmentation of 3D PET/CT ImagesLing Huang, Su Ruan, Pierre Decazes, Thierry Denoeux. 159-167 [doi]
- Fusion of Evidential CNN Classifiers for Image ClassificationZheng Tong, Philippe Xu, Thierry Denoeux. 168-176 [doi]
- Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image ClassificationZhikang Xu, Bofeng Zhang, Haijie Fu, Xiaodong Yue, Ying Lv. 177-184 [doi]
- Deep Evidential Fusion Network for Image ClassificationShaoxun Xu, Yufei Chen 0002, Chao Ma, Xiaodong Yue. 185-193 [doi]
- Conflict Measure of Belief Functions with Blurred Focal Elements on the Real LineAlexander Lepskiy. 197-206 [doi]
- Logical and Evidential Inconsistencies Meet: First StepsNadia Ben Abdallah, Sébastien Destercke, Anne-Laure Jousselme, Frédéric Pichon. 207-214 [doi]
- A Note About Entropy and Inconsistency in Evidence TheoryAnne-Laure Jousselme, Frédéric Pichon, Nadia Ben Abdallah, Sébastien Destercke. 215-223 [doi]
- An Extension of Specificity-Based Approximations to Other Belief Function RelationsTekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre. 224-233 [doi]
- A New Multi-source Information Fusion Method Based on Belief Divergence Measure and the Negation of Basic Probability AssignmentHongfei Wang, Wen Jiang 0002, Xinyang Deng, Jie Geng. 237-246 [doi]
- Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial DecisionsSiti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier. 247-256 [doi]
- Validation of Smets' Hypothesis in the Crowdsourcing EnvironmentConstance Thierry, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall. 259-268 [doi]
- Quantifying Confidence of Safety Cases with Belief FunctionsYassir Idmessaoud, Didier Dubois, Jérémie Guiochet. 269-278 [doi]
- Discussions on the Connectedness of a Random Closed SetJuan Jesús Salamanca. 281-290 [doi]
- An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU ImplementationNoelia Rico, Luigi Troiano, Irene Díaz. 291-299 [doi]
- QLEN: Quantum-Like Evidential Networks for Predicting the Decision in Prisoner's DilemmaJixiang Deng, Yong Deng 0001. 300-308 [doi]