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en:publi:befief_conf [2022/11/01 11:13] – tdenoeuxen:publi:befief_conf [2024/02/03 08:53] (current) – tdenoeux
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 ====== Belief Functions and Machine Learning ====== ====== Belief Functions and Machine Learning ======
-  - Thierry Denoeux. An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. Belief Functions: Theory and Applications, 13506, Springer International Publishing, pp.57-66, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-17801-6_6⟩. {{ :en:publi:belief2022_rfs_v2.pdf |pdf}} +  - T. Denoeux and V. Kreinovich. Algebraic Product Is the Only “And-like” Operation for Which Normalized Intersection Is Associative: A Proof. Fifth International Conference on Artificial Intelligence and Computational Intelligence (AICI 2024), Hanoi, Vietnam, January 13-14, 2024. {{ :en:publi:tr23-49v3.pdf |pdf}} 
-  - Andrea Campagner, Davide Ciucci, Thierry Denoeux. A Distributional Approach for Soft Clustering Comparison and Evaluation. Belief Functions: Theory and Applications, 13506, Springer International Publishing, pp.3-12, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-17801-6_1⟩. {{ :en:publi:belief2022_paper_8971.pdf |pdf}} +  - Thierry Denoeux. Belief Functions on the Real Line defined by Transformed Gaussian Random Fuzzy Numbers. 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2023), Songdo Incheon, Korea, August 13-17, 2023. {{ :en:publi:fuzzieee23_final.pdf |pdf}} 
-  - H. Fu, X. Yue, W. Liu and T. Denoeux, "Stable Clustering Ensemble Based on Evidence Theory," 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16-19 October 2022, pp. 2046-2050, doi: 10.1109/ICIP46576.2022.9897984. {{ :en:publi:sceevt-final.pdf |pdf}}+  - Thierry Denoeux. An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. In: Le Hégarat-Mascle, S., Bloch, I., Aldea, E. (eds) Belief Functions: Theory and Applications. BELIEF 2022. Lecture Notes in Computer Science, vol 13506. Springer, Cham, 2022, pp.57-66 {{ :en:publi:belief2022_rfs_v2.pdf |pdf}} 
 +  - Andrea Campagner, Davide Ciucci, Thierry Denoeux. A Distributional Approach for Soft Clustering Comparison and Evaluation. In: Le Hégarat-Mascle, S., Bloch, I., Aldea, E. (eds) Belief Functions: Theory and Applications. BELIEF 2022. Lecture Notes in Computer Science, vol 13506. Springer, Cham, 2022, pp. 3-12. {{ :en:publi:belief2022_paper_8971.pdf |pdf}} 
 +  - H. Fu, X. Yue, W. Liu and T. Denoeux, "Stable Clustering Ensemble Based on Evidence Theory," 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16-19 October 2022, pp. 2046-2050. {{ :en:publi:sceevt-final.pdf |pdf}}
   - Wei Liu, Xiaodong Yue, Yufei Chen and Thierry Denoeux. Trusted Multi-View Deep Learning with Opinion Aggregation. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Vancouver, Canada, February 22-March 1, 2022. {{ :en:publi:trusted_aaai_submit.pdf |pdf}}   - Wei Liu, Xiaodong Yue, Yufei Chen and Thierry Denoeux. Trusted Multi-View Deep Learning with Opinion Aggregation. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Vancouver, Canada, February 22-March 1, 2022. {{ :en:publi:trusted_aaai_submit.pdf |pdf}}
   - Zh. Tong, Ph. Xu and T. Denoeux. Fusion of Evidential CNN Classifiers for Image Classification. In T. Denoeux, E. Lefèvre, Zh. Liu and F. Pichon (Eds), Belief Functions: Theory and Applications, Springer International Publishing, Cham, pages 168-176, 2021. {{ :en:publi:r1-clean-e-fusion-dl_td.pdf |pdf}}   - Zh. Tong, Ph. Xu and T. Denoeux. Fusion of Evidential CNN Classifiers for Image Classification. In T. Denoeux, E. Lefèvre, Zh. Liu and F. Pichon (Eds), Belief Functions: Theory and Applications, Springer International Publishing, Cham, pages 168-176, 2021. {{ :en:publi:r1-clean-e-fusion-dl_td.pdf |pdf}}

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