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Evidential Distributed Dynamic Map for Cooperative Perception in VANets

 Nicole El Zoghby , Véronique Cherfaoui , Thierry Denoeux
IEEE intelligent Vehicles Symposium (IV 2014), Jun 2014, Dearborn, Michigan, United States. pp.1421-1426
Communication dans un congrès hal-01023914v1

Determination in real time of the reliability of radar rainfall forecasts

 T. Denoeux , T. Einfalt , G. Jacquet
Journal of Hydrology, 1991, 122 (41365), pp.353
Article dans une revue hal-00779570v1

A state estimation method for multiple model systems using belief function theory

 Ghalia Nassreddine , Fahed Abdallah , Thierry Denoeux
FUSION '09, Jul 2009, Seattle, Washington, United States. pp.506-513
Communication dans un congrès hal-00450209v1

Procédé de calcul d’une consigne de gestion de la consommation en carburant et en courant électrique d’un véhicule automobile hybride

 Abdel-Djalil Ourabah , Benjamin Quost , Thierry Denoeux
France, N° de brevet: FR3061470. 2018
Brevet hal-03187172v1

Production rules generation and refinement in back-propagation networks

 Thierry Denoeux , Régis Lengellé
ANNIE'92, Nov 1992, Saint-Louis, United States
Communication dans un congrès hal-02861689v1

Learning from data with uncertain labels by boosting credal classifiers

 Benjamin Quost , Thierry Denoeux
The 15th ACM SIGKDD Conference on Knwledge Discovery and Data Mining, Jun 2009, Paris, France. pp.38-47
Communication dans un congrès hal-00445491v1
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Making Set-valued Predictions in Evidential Classification: A Comparison of Different Approaches

 Liyao Ma , Thierry Denoeux
11th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Jun 2019, Gand, Belgium. pp.276-285
Communication dans un congrès hal-02471586v1
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Parametric classification with soft labels using the Evidential EM algorithm

 Benjamin Quost , Thierry Denoeux , Shoumei Li
Advances in Data Analysis and Classification, 2017, 11 (4), pp.659-690. ⟨10.1007/s11634-017-0301-2⟩
Article dans une revue hal-01525605v2
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Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules

 Zhi-Gang Su , Thierry Denoeux , Yong-Sheng Hao , Ming Zhao
Knowledge-Based Systems, 2018, 142, pp.7-16. ⟨10.1016/j.knosys.2017.11.020⟩
Article dans une revue hal-01830441v1
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Maximum likelihood estimation from fuzzy data using the EM algorithm

 Thierry Denoeux
Fuzzy Sets and Systems, 2011, 183 (1), pp.72-91
Article dans une revue hal-00654118v1
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Distributed data fusion in the Dempster-Shafer framework

 Orakanya Kanjanatarakul , Thierry Denoeux
2017 12th System of Systems Engineering Conference (SoSE), Jun 2017, Waikoloa, United States. pp.1-6, ⟨10.1109/SYSOSE.2017.7994954⟩
Communication dans un congrès hal-03781559v1
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Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

 Chunfeng Lian , Su Ruan , Thierry Denoeux , Hua Li , Pierre Vera
14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Apr 2017, Melbourne, Australia. pp.1177-1180, ⟨10.1109/ISBI.2017.7950726⟩
Communication dans un congrès hal-02553198v1
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Belief Functions on the Real Line defined by Transformed Gaussian Random Fuzzy Numbers

 Thierry Denoeux
IEEE International Conference on Fuzzy Systems (FUZZ 2023), IEEE, Aug 2023, Songdo Incheon, South Korea. ⟨10.1109/FUZZ52849.2023.10309755⟩
Communication dans un congrès hal-04180823v1
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An evidential classifier based on Dempster-Shafer theory and deep learning

 Zheng Tong , Philippe Xu , Thierry Denoeux
Neurocomputing, 2021, 450, pp.275-293. ⟨10.1016/j.neucom.2021.03.066⟩
Article dans une revue hal-03219203v1
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A general framework for evaluating and comparing soft clusterings

 Andrea Campagner , Davide Ciucci , Thierry Denœux
Information Sciences, 2023, 623, pp.70-93. ⟨10.1016/j.ins.2022.11.114⟩
Article dans une revue hal-03906379v1
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Stable clustering ensemble based on evidence theory

 Haijie Fu , Xiaodong Yue , Wei Liu , Thierry Denoeux
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.2046-2050, ⟨10.1109/ICIP46576.2022.9897984⟩
Communication dans un congrès hal-03835983v1
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Evidential fully convolutional network for semantic segmentation

 Zheng Tong , Philippe Xu , Thierry Denoeux
Applied Intelligence, 2021, 51 (9), pp.6376-6399. ⟨10.1007/s10489-021-02327-0⟩
Article dans une revue hal-03511108v1

MACHINE LEARNING AS A DECISION SUPPORT TOOL FOR WASTEWATER TREATMENT PLANT OPERATION

 Thibault Mercier , Abel Dembele , Thierry Denoeux , Pascal Blanc
WATER RESOURCES MANAGEMENT 2019, May 2019, Alicante, Spain. pp.103-107, ⟨10.2495/WRM190101⟩
Communication dans un congrès hal-03781572v1
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Editing training data for multi-label classification with the k-nearest neighbor rule

 Sawsan Kanj , Fahed Abdallah , Thierry Denoeux , Kifah Tout
Pattern Analysis and Applications, 2016, 19 (1), pp.145-161. ⟨10.1007/s10044-015-0452-8⟩
Article dans une revue hal-01294269v1

CEVCLUS: evidential clustering with instance-level constraints for relational data

 Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
Soft Computing, 2014, 18 (7), pp.1321-1335. ⟨10.1007/s00500-013-1146-z⟩
Article dans une revue hal-00923311v1
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Making use of partial knowledge about hidden states in HMMs : an approach based on belief functions.

 Emmanuel Ramasso , Thierry Denoeux
IEEE Transactions on Fuzzy Systems, 2014, 22 (2), pp.395-405. ⟨10.1109/TFUZZ.2013.2259496⟩
Article dans une revue hal-00834177v1
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Mixture model estimation with soft labels

 Etienne Côme , Latifa Oukhellou , Thierry Denoeux , Patrice Aknin
Fourth International Workshop on Soft Methods in Probabilities and Statistics, Sep 2008, Toulouse, France. pp.165-174
Communication dans un congrès hal-00446806v1

Combinaison crédibiliste de classifieurs binaires

 Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
Traitement du Signal, 2007, 24 (2), pp.83-101
Article dans une revue hal-00445476v1
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Evidential multinomial logistic regression for multiclass classifier calibration

 Philippe Xu , Franck Davoine , Thierry Denoeux
18th International Conference on Information Fusion, Jul 2015, Washington D.C., United States. pp.1106-1112
Communication dans un congrès hal-01271569v1

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

 Sébastien Destercke , Thierry Denoeux
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty 2015, Jul 2015, Compiègne, France. 9161, Springer, 2015, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-20807-7⟩
Proceedings/Recueil des communications hal-01200698v1
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Resample and Combine: An Approach to Improving Uncertainty Representation in Evidential Pattern Classification

 Jeanne François , Y. Grandvalet , T. Denoeux , J.M. Roger
Information Fusion, 2003, 4 (2), p. 75 - p. 85. ⟨10.1016/S1566-2535(03)00005-8⟩
Article dans une revue hal-00453802v1

A Fuzzy-neuro system for reconstruction of multi-sensor information

 Simon Petitrenaud , Thierry Denoeux
Fuzzy-Neuro Systems\'98, 1998, Munich, Germany. pp.322--329
Communication dans un congrès hal-01437174v1

Belief Functions: Theory and Applications

 Sébastien Destercke , Thierry Denoeux , Fabio Cuzzolin , Arnaud Martin
5th International Conference on Belief Functions (BELIEF 2018), Sep 2018, Compiègne, France. 11069, Springer, 2018, Lecture Notes in Computer Science
Proceedings/Recueil des communications hal-01888405v1

Belief Functions: Theory and Applications

 Thierry Denœux , Eric Lefevre , Zhunga Liu , Frédéric Pichon
6th International Conference (BELIEF 2021), Oct 2021, Shanghai, China. 12915, Springer International Publishing, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-88601-1⟩
Proceedings/Recueil des communications hal-03520236v1

Conditioning in Dempster-Shafer Theory: Prediction vs. Revision

 Didier Dubois , Thierry Denoeux
2nd International Conference on Belief Functions (2012), May 2012, Compiègne, France. pp.385-392, ⟨10.1007/978-3-642-29461-7_45⟩
Communication dans un congrès istex hal-03413941v1
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