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ORCIDThierry Denoeux
- > Home > Persons > Thierry Denoeux
Publications
- 2024
[j124]Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain:
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171: 109206 (2024)- 2019
- [e9]Sébastien Destercke, Thierry Denoeux, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Uncertainty Modelling in Data Science, SMPS 2018, Compiègne, France, 17-21 September 2018. Advances in Intelligent Systems and Computing 832, Springer 2019, ISBN 978-3-319-97546-7 [contents] - [i3]Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume
, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain:
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR abs/1912.06612 (2019) - 2018
- [e8]Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin:
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings. Lecture Notes in Computer Science 11069, Springer 2018, ISBN 978-3-319-99382-9 [contents] - 2016
- [j74]Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux:
Modelling and predicting partial orders from pairwise belief functions. Soft Comput. 20(3): 939-950 (2016) - 2015
- [e5]Sébastien Destercke, Thierry Denoeux:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Lecture Notes in Computer Science 9161, Springer 2015, ISBN 978-3-319-20806-0 [contents] - 2014
- [c68]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. Belief Functions 2014: 87-94 - [c64]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Application of E 2 M Decision Trees to Rubber Quality Prediction. IPMU (1) 2014: 107-116 - 2013
- [c60]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Learning Decision Trees from Uncertain Data with an Evidential EM Approach. ICMLA (1) 2013: 111-116 - 2012
- [c56]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Classification Trees Based on Belief Functions. Belief Functions 2012: 77-84
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