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--- en:publi:belief_art [2024/04/08 05:49] – tdenoeux
+++ en:publi:belief_art [2024/04/09 05:11] (current) – tdenoeux
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   - T. Denoeux. Uncertainty Quantification in Logistic Regression using Random Fuzzy Sets and Belief Functions. International Journal of Approximate Reasoning, Volume 168, 109159, 2024. {{ :en:publi:evlogreg_v2.pdf |pdf}}
-  - Ying Lv, Bofeng Zhangh, Xiaodong Yue, Thierry Denoeux, Shan Yue. Selecting Reliable Instances Based on Evidence Theory for Transfer Learning. Expert Systems with Applications, in press, 2024. {{ :en:publi:ewa2024.pdf |pdf}}
+  - Ying Lv, Bofeng Zhangh, Xiaodong Yue, Thierry Denoeux, Shan Yue. Selecting Reliable Instances Based on Evidence Theory for Transfer Learning. Expert Systems with Applications, Volume 250, 123739, 2024. {{ :en:publi:ewa2024.pdf |pdf}}
   - T. Denoeux. Quantifying Prediction Uncertainty in Regression using Random Fuzzy Sets: the ENNreg model. IEEE Transactions on Fuzzy Systems, Vol. 31, Issue 10, pages 3690-3699, 2023. {{ :en:publi:ennreg_tfs_final.pdf |pdf}}
   - Z. Tong, Ph. Xu and T. Denoeux. An evidential classifier based on Dempster-Shafer theory and deep learning. Neurocomputing, Vol. 450, pages 275-293, 2021. {{ :en:publi:r1_clean_evidential_dl_classifier_0206_td_phx.pdf |pdf}}

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