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====== Belief Functions and Pattern recognition ====== | ====== Belief Functions and Pattern recognition ====== | ||
- | - P. P. Shenoy | + | - T. Denoeux and P. P. Shenoy. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief |
- Z.-G. Su, Q. Hu, and T. Denoeux. A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Transactions on Fuzzy Systems (to appear), 2020.{{ : | - Z.-G. Su, Q. Hu, and T. Denoeux. A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Transactions on Fuzzy Systems (to appear), 2020.{{ : | ||
- | - Z.-G. Liu, L.-Q. Huang, K. Zhou, and T. Denoeux. Combination of Transferable Classification with Multi-source Domain Adaptation Based on Evidential Reasoning. IEEE Transactions on Neural Networks and Learning | + | - Z.-G. Liu, L.-Q. Huang, K. Zhou, and T. Denoeux. Combination of Transferable Classification with Multi-source Domain Adaptation Based on Evidential Reasoning. IEEE Transactions on Neural Networks and Learning |
- T. Denoeux. Calibrated model-based evidential clustering using bootstrapping. Information Sciences, Vol. 528, pages 17-45, 2020. {{ : | - T. Denoeux. Calibrated model-based evidential clustering using bootstrapping. Information Sciences, Vol. 528, pages 17-45, 2020. {{ : | ||
- Feng Li, Shoumei Li and Thierry Denoeux. Combining clusterings in the belief function framework. Array, Vol. 6, 100018, 2020. {{ : | - Feng Li, Shoumei Li and Thierry Denoeux. Combining clusterings in the belief function framework. Array, Vol. 6, 100018, 2020. {{ : |