| Orbit Classification for Prediction Based on Evidential Reasoning and Belief Rule Base
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2021 |
Sun, Chao |
| Entropy-Based Learning of Compositional Models from Data
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2021 |
Jiroušek, Radim |
| Fusion of Evidential CNN Classifiers for Image Classification
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2021 |
Tong, Zheng |
| Deep Evidential Fusion Network for Image Classification
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2021 |
Xu, Shaoxun |
| An Extension of Specificity-Based Approximations to Other Belief Function Relations
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2021 |
Tedjijini, Tekwa |
| Fast Unfolding of Credal Partitions in Evidential Clustering
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2021 |
Zhang, Zuowei |
| Unequal Singleton Pair Distance for Evidential Preference Clustering
|
2021 |
Zhang, Yiru |
| Evidential Clustering Based on Transfer Leaming
|
2021 |
Zhou, Kuang |
| Towards a Theory of Valid Inferential Models with Partial Prior Information
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2021 |
Martin, Ryan |
| Evidential Segmentation of 3D PET/CT Images
|
2021 |
Huang, Ling |
| Logical and Evidential Inconsistencies Meet: First Steps
|
2021 |
Abdallah, Nadia Ben |
| A Note About Entropy and Inconsistency in Evidence Theory Abdallah
|
2021 |
Jousselme, Anne-Laure |
| Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions
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2021 |
Mutmainah, Siti |
| Quantifying Confidence of Safety Cases with Belief Functions
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2021 |
Idmessaoud, Yassir |
| Discussions on the Connectedness of a Random Closed Set
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2021 |
Salamanca, Juan Jesús |
| Credal Clustering for Imbalanced Data
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2021 |
Zhang, Zuowei |
| Evidential Weighted Multi-view Clustering
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2021 |
Zhou, Kuang |
| Transfer Evidential C-Means Clustering
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2021 |
Jiao, Lianmeng |
| Improving Micro-Extended Belief Rule-Based System Using Activation Factor for Classification Problems
|
2021 |
Yang, Long-Hao |
| Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification
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2021 |
Xu, Zhikang |
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