Differences

This shows you the differences between two versions of the page.

--- en:publi [2023/04/07 08:52] – tdenoeux
+++ en:publi [2024/01/09 09:10] – tdenoeux
@@ Line 7: / Line 7: @@
 ===== Preprints =====
-  - Z. Bouraoui, A. Cornuéjols, T. Denoeux, S. Destercke, D. Dubois, R. Guillaume, J. Marques-Silva, J. Mengin, H. Prade, S. Schockaert, M. Serrurier, C. Vrain. From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). [[https://arxiv.org/abs/1912.06612|arXiv:1912.06612]], 2019.
+  - Z. Bouraoui, A. Cornuéjols, T. Denoeux, S. Destercke, D. Dubois, R. Guillaume, J. Marques-Silva, J. Mengin, H. Prade, S. Schockaert, M. Serrurier, C. Vrain. From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). Preprint [[https://arxiv.org/abs/1912.06612|arXiv:1912.06612]], 2019.
-  - T. Denoeux. Quantifying Prediction Uncertainty in Regression using Random Fuzzy Sets: the ENNreg model. TechRxiv. Preprint. [[https://doi.org/10.36227/techrxiv.21791831.v2|techrxiv.21791831.v2]], 2023.
+  - T. Denoeux and V. Kreinovich. Algebraic Product Is the Only "And-like" Operation for Which Normalized Intersection Is Associative: A Proof. Technical report [[https://scholarworks.utep.edu/cs_techrep/1834/|UTEP-CS-23-49a]], 2023.
-  - T. Denoeux. Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. [[https://hal.science/hal-04060251|hal-04060251]], 2023.
+  - T. Denoeux. Uncertainty Quantification in Logistic Regression Using Random Fuzzy Sets and Belief Functions. SSRN Preprint [[http://dx.doi.org/10.2139/ssrn.4647982|download]], 2023

UMR CNRS 7253

Site Tools

Differences

Page Tools

User Tools