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Publication search results
found 31 matches
- 2021
- Nadia Ben Abdallah, Sébastien Destercke, Anne-Laure Jousselme
, Frédéric Pichon:
Logical and Evidential Inconsistencies Meet: First Steps. BELIEF 2021: 207-214 - Leonardo Cella, Ryan Martin:
Approximately Valid and Model-Free Possibilistic Inference. BELIEF 2021: 127-136 - Jixiang Deng
, Yong Deng
:
QLEN: Quantum-Like Evidential Networks for Predicting the Decision in Prisoner's Dilemma. BELIEF 2021: 300-308 - Kangkai Gao, Liyao Ma, Yong Wang:
A Classification Tree Method Based on Belief Entropy for Evidential Data. BELIEF 2021: 105-114 - Ling Huang
, Su Ruan, Pierre Decazes, Thierry Denoeux
:
Evidential Segmentation of 3D PET/CT Images. BELIEF 2021: 159-167 - Yassir Idmessaoud, Didier Dubois, Jérémie Guiochet:
Quantifying Confidence of Safety Cases with Belief Functions. BELIEF 2021: 269-278 - Lianmeng Jiao, Feng Wang, Quan Pan:
Transfer Evidential C-Means Clustering. BELIEF 2021: 47-55 - Radim Jirousek
, Václav Kratochvíl
, Prakash P. Shenoy
:
Entropy-Based Learning of Compositional Models from Data. BELIEF 2021: 117-126 - Anne-Laure Jousselme
, Frédéric Pichon, Nadia Ben Abdallah, Sébastien Destercke:
A Note About Entropy and Inconsistency in Evidence Theory. BELIEF 2021: 215-223 - Alexander Lepskiy
:
Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line. BELIEF 2021: 197-206 - Ying Lv
, Bofeng Zhang
, Xiaodong Yue
, Zhikang Xu
, Wei Liu
:
Ensemble of Adapters for Transfer Learning Based on Evidence Theory. BELIEF 2021: 66-75 - Ryan Martin:
Towards a Theory of Valid Inferential Models with Partial Prior Information. BELIEF 2021: 137-146 - Siti Mutmainah
, Samir Hachour, Frédéric Pichon, David Mercier
:
Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions. BELIEF 2021: 247-256 - Jiawei Niu
, Zhunga Liu:
Imbalance Data Classification Based on Belief Function Theory. BELIEF 2021: 96-104 - Noelia Rico
, Luigi Troiano
, Irene Díaz
:
An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation. BELIEF 2021: 291-299 - Juan Jesús Salamanca
:
Discussions on the Connectedness of a Random Closed Set. BELIEF 2021: 281-290 - Chao Sun
, Xiaoxia Han, Wei He
, Hailong Zhu:
Orbit Classification for Prediction Based on Evidential Reasoning and Belief Rule Base. BELIEF 2021: 87-95 - Tekwa Tedjini, Sohaib Afifi
, Frédéric Pichon, Eric Lefèvre
:
An Extension of Specificity-Based Approximations to Other Belief Function Relations. BELIEF 2021: 224-233 - Constance Thierry, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall:
Validation of Smets' Hypothesis in the Crowdsourcing Environment. BELIEF 2021: 259-268 - Zheng Tong
, Philippe Xu
, Thierry Denoeux
:
Fusion of Evidential CNN Classifiers for Image Classification. BELIEF 2021: 168-176 - 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. BELIEF 2021: 237-246 - Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep Evidential Fusion Network for Image Classification. BELIEF 2021: 185-193 - 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. BELIEF 2021: 177-184 - Cong Xu
, Zhi-Jie Zhou, Wei He
, Hailong Zhu, Yanzi Gao:
Ensemble Learning Based on Evidential Reasoning Rule with a New Weight Calculation Method. BELIEF 2021: 147-156 - 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. BELIEF 2021: 79-86 - Zuowei Zhang
, Zhunga Liu, Kuang Zhou, Arnaud Martin, Yiru Zhang
:
Credal Clustering for Imbalanced Data. BELIEF 2021: 13-21 - Yiru Zhang
, Arnaud Martin:
Unequal Singleton Pair Distance for Evidential Preference Clustering. BELIEF 2021: 33-43 - Zuowei Zhang
, Arnaud Martin, Zhunga Liu, Kuang Zhou, Yiru Zhang
:
Fast Unfolding of Credal Partitions in Evidential Clustering. BELIEF 2021: 3-12 - Kuang Zhou, Mei Guo, Ming Jiang:
Evidential Weighted Multi-view Clustering. BELIEF 2021: 22-32 - Kuang Zhou, Mei Guo, Arnaud Martin:
Evidential Clustering Based on Transfer Learning. BELIEF 2021: 56-65
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