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--- en:publi:befief_conf [2022/11/01 15:47] – tdenoeux
+++ en:publi:befief_conf [2024/02/03 08:53] (current) – tdenoeux
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 ====== 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}}
-  - Huang, L., Denoeux, T., Vera, P., Ruan, S. (2022). Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13435. Springer, Cham. https://doi.org/10.1007/978-3-031-16443-9_39. {{ :en:publi:miccai2022_camera_ready_linghuang.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}}

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