UMR CNRS 7253

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en:start [2022/04/13 10:35] tdenoeuxen:start [2023/01/12 13:42] tdenoeux
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   * Interview on [[https://www.elsevier.com/connect/editors-update/editor-in-a-60-second-spotlight-thierry-denoeux|Elsevier Editor Update]]   * Interview on [[https://www.elsevier.com/connect/editors-update/editor-in-a-60-second-spotlight-thierry-denoeux|Elsevier Editor Update]]
   * Interview on [[https://ins2i.cnrs.fr/fr/cnrsinfo/thierry-denoeux-resoudre-des-problemes-dincertitude-au-coeur-de-modeles-informatiques|INS2I web site]]   * Interview on [[https://ins2i.cnrs.fr/fr/cnrsinfo/thierry-denoeux-resoudre-des-problemes-dincertitude-au-coeur-de-modeles-informatiques|INS2I web site]]
-  * The 7th International Conference on Belief Functions [[http://hebergement.universite-paris-saclay.fr/belief2022/|(BELIEF 2022)]] will be held in ParisFranceon October 26-282022.+  * Version 2.0.0 of the R package [[https://cran.r-project.org/web/packages/evclass/evclass |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 rulesee: "T. DenoeuxLogistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. Knowledge-Based Systems 176:54-672019").
  
  

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