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en:publi:belief_art [2024/02/22 06:46] tdenoeuxen:publi:belief_art [2024/03/04 21:02] (current) tdenoeux
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 === Evidential classification and regression === === Evidential classification and regression ===
  
-  - T. Denoeux. Uncertainty Quantification in Logistic Regression using Random Fuzzy Sets and Belief Functions. International Journal of Approximate Reasoning (to appear), 2024. {{ :en:publi:evlogreg_v2.pdf |pdf}}+  - 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}}
   - 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}}   - 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}}   - 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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