Professor at Université de technologie de Compiègne
Department of Computer Science
Heudiasyc Laboratory (UMR CNRS 7253)

Senior member of Institut universitaire de France
Editor-in-Chief, International Journal of Approximate Reasoning

Director, Laboratory of Excellence MS2T
President, Belief Functions and Applications Society

News:

• Interview on Elsevier Editor Update
• Interview on INS2I web site
• Version 2.0.0 of the R package External Link has been released on CRAN. This version contains new functions to express the outputs of trained logistic regression or feed-forward neural network classifiers as Dempster-Shafer mass functions. (These methods are based on an interpretation of the operations performed in neural networks as the combination of weights of evidence by Dempster's rule, see: “T. Denoeux, Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. Knowledge-Based Systems 176:54-67, 2019”).

Prof. Thierry Denoeux
Université de Technologie de Compiègne
UMR CNRS 7253 Heudiasyc
Rue Roger Couttolenc
CS 60319
60203 Compiègne Cedex
France

email: tdenoeux[at]utc.fr
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