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1. 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 arXiv:1912.06612, 2019.
2. T. Denoeux. Uncertainty Quantification in Logistic Regression Using Random Fuzzy Sets and Belief Functions. SSRN Preprint download, 2023

• Belief functions and machine learning
• Applications of belief functions
• Fuzzy statistics and data analysis
• Statistics, econometrics and classification
• Neural networks
• Radar hydrology
• Other applications

• Belief functions and machine learning
• Applications of belief functions
• Fuzzy statistics and data analysis
• Neural networks
• Radar hydrology
• Other applications

• Edited volumes
• Book Chapters
• PhD thesis