Sébastien Destercke

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	All	Since 2016
Citations	1621	943
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i10-index	46	27

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Co-authors

Didier Duboischercheur au CNRSVerified email at irit.fr
Patrice BucheINRAE, TRANSFORM, IATEVerified email at inrae.fr
Thierry DenoeuxProfessor, Université de technologie de Compiègne, Institut Universitaire de FranceVerified email at utc.fr
Enrique MirandaUniversity of OviedoVerified email at uniovi.es
Thomas BurgerCNRS researcher, IRIG (CEA, CNRS, INSERM, Université Grenoble Alpes), EDyP-labVerified email at cea.fr
Matthias C. M. TroffaesProfessor, Durham University, UKVerified email at durham.ac.uk
Rallou ThomopoulosINRA Iate / INRIA GraphIKVerified email at supagro.inra.fr
Ines CousoFull Professor - University of OviedoVerified email at uniovi.es
Nicolas Sutton-CharaniIMT Mines-AlèsVerified email at mines-ales.fr
Vu-Linh NguyenPostdoctoral researcher, Intelligent Systems and Machine Learning, Paderborn UniverisityVerified email at hds.utc.fr
Olivier StraussVerified email at lirmm.fr
Gen YangPhD, Heudiasyc laboratory, Université de Technologie de CompiègneVerified email at hds.utc.fr
john kleinassociate professor, University of LilleVerified email at univ-lille1.fr
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Lev UtkinPeter the Great St.Petersburg Polytechnic University (SPbPU)Verified email at spbstu.ru
Colot OlivierUniversité de LilleVerified email at univ-lille.fr
Yong WANGUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Claire VialleMaître de conférences, Université de ToulouseVerified email at ensiacet.fr
Jean-Pierre BelaudEnseignant-Chercheur, Toulouse INP-ENSIACET, Procédés&Systèmes Industriels (LGC, CNRS)Verified email at ensiacet.fr
Caroline SablayrollesMaître de Conférences, HDR, Université de ToulouseVerified email at ensiacet.fr

Sébastien Destercke

Researcher in Computer Science, CNRS-Heudiasyc

Verified email at hds.utc.fr - Homepage

Artificial intelligence Uncertainty Information Fusion Imprecise probability Belief functions


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Unifying practical uncertainty representations–I: Generalized p-boxes S Destercke, D Dubois, E Chojnacki International Journal of Approximate Reasoning 49 (3), 649-663, 2008	129	2008
Toward an axiomatic definition of conflict between belief functions S Destercke, T Burger IEEE transactions on cybernetics 43 (2), 585-596, 2013	92	2013
Possibilistic information fusion using maximal coherent subsets S Destercke, D Dubois, E Chojnacki IEEE Transactions on Fuzzy Systems 17 (1), 79-92, 2008	76	2008
Online active learning of decision trees with evidential data L Ma, S Destercke, Y Wang Pattern Recognition 52, 33-45, 2016	61	2016
Idempotent conjunctive combination of belief functions: Extending the minimum rule of possibility theory S Destercke, D Dubois Information Sciences 181 (18), 3925-3945, 2011	54	2011
An extension of universal generating function in multi-state systems considering epistemic uncertainties S Destercke, M Sallak IEEE Transactions on reliability 62 (2), 504-514, 2013	47	2013
Probability boxes on totally preordered spaces for multivariate modelling M Troffaes, S Destercke International Journal of Approximate Reasoning 52 (6), 767-791, 2011	44	2011
Building an interpretable fuzzy rule base from data using orthogonal least squares—application to a depollution problem S Destercke, S Guillaume, B Charnomordic Fuzzy Sets and Systems 158 (18), 2078-2094, 2007	42	2007
Evaluating data reliability: an evidential answer with application to a web-enabled data warehouse S Destercke, P Buche, B Charnomordic IEEE Transactions on Knowledge and Data Engineering 25 (1), 92-105, 2011	41	2011
A decision support system to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach V Guillard, P Buche, S Destercke, N Tamani, M Croitoru, L Menut, ... Computers and Electronics in Agriculture 111, 131-139, 2015	37	2015
Unifying practical uncertainty representations. II: Clouds S Destercke, D Dubois, E Chojnacki International Journal of Approximate Reasoning 49 (3), 664-677, 2008	36	2008
On the connection between probability boxes and possibility measures MCM Troffaes, E Miranda, S Destercke Information Sciences 224, 88-108, 2013	33	2013
A flexible bipolar querying approach with imprecise data and guaranteed results S Destercke, P Buche, V Guillard Fuzzy sets and Systems 169 (1), 51-64, 2011	32	2011
Computing expectations with continuous p-boxes: Univariate case L Utkin, S Destercke International Journal of Approximate Reasoning 50 (5), 778-798, 2009	31	2009
A consistency-specificity trade-off to select source behavior in information fusion F Pichon, S Destercke, T Burger IEEE transactions on cybernetics 45 (4), 598-609, 2014	27	2014
Parameter uncertainties and error propagation in modified atmosphere packaging modelling V Guillard, C Guillaume, S Destercke Postharvest Biology and Technology. 67, 154-166, 2012	26	2012
Methods for the evaluation and synthesis of multiple sources of information applied to nuclear computer codes S Destercke, E Chojnacki Nuclear engineering and design 238 (9), 2484-2493, 2008	26	2008
Ranking of fuzzy intervals seen through the imprecise probabilistic lens S Destercke, I Couso Fuzzy Sets and Systems 278, 20-39, 2015	24	2015
Cautious conjunctive merging of belief functions S Destercke, D Dubois, E Chojnacki European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2007	24	2007
A k-nearest neighbours method based on imprecise probabilities S Destercke Soft Computing 16 (5), 833-844, 2012	21	2012

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