Thierry Denoeux

	2012
87		Thierry Denoeux, Marie-Hélène Masson: Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012 Springer 2012
86		Sawsan Kanj, Fahed Abdallah, Thierry Denoeux: Evidential Multi-label Classification Using the Random k-Label Sets Approach. Belief Functions 2012: 21-28
85		Marie-Hélène Masson, Thierry Denoeux: Ranking from Pairwise Comparisons in the Belief Functions Framework. Belief Functions 2012: 311-318
84		Nicole El Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denoeux: Distributed Data Fusion for Detecting Sybil Attacks in VANETs. Belief Functions 2012: 351-358
83		Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni: Partially-Hidden Markov Models. Belief Functions 2012: 359-366
82		Didier Dubois, Thierry Denoeux: Conditioning in Dempster-Shafer Theory: Prediction vs. Revision. Belief Functions 2012: 385-392
81		Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux: Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation. Belief Functions 2012: 393-400
80		Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux: Classification Trees Based on Belief Functions. Belief Functions 2012: 77-84
79		Thierry Denoeux, Marie-Hélène Masson: Evidential reasoning in large partially ordered sets - Application to multi-label classification, ensemble clustering and preference aggregation. Annals OR 195(1): 135-161 (2012)
78		V. Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: CECM: Constrained evidential C-means algorithm. Computational Statistics & Data Analysis 56(4): 894-914 (2012)
77		Frédéric Pichon, Didier Dubois, Thierry Denoeux: Relevance and truthfulness in information correction and fusion. Int. J. Approx. Reasoning 53(2): 159-175 (2012)
76		Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin: Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Comput. 16(5): 741-754 (2012)
	2011
75		Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin: Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA 2011: 213-220
74		Zoulficar Younes, Fahed Abdallah, Thierry Denoeux, Hichem Snoussi: A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule. EURASIP J. Adv. Sig. Proc. 2011: (2011)
73		Thierry Denoeux: Maximum likelihood estimation from fuzzy data using the EM algorithm. Fuzzy Sets and Systems 183(1): 72-91 (2011)
72		Fahed Abdallah, Ghalia Nassreddine, Thierry Denoeux: A Multiple-Hypothesis Map-Matching Method Suitable for Weighted and Box-Shaped State Estimation for Localization. IEEE Transactions on Intelligent Transportation Systems 12(4): 1495-1510 (2011)
71		Marie-Hélène Masson, Thierry Denoeux: Ensemble clustering in the belief functions framework. Int. J. Approx. Reasoning 52(1): 92-109 (2011)
70		Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules. Int. J. Approx. Reasoning 52(3): 353-374 (2011)
	2010
69		Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: CECM: Adding pairwise constraints to evidential clustering. FUZZ-IEEE 2010: 1-8
68		Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: Fuzzy multi-label learning under veristic variables. FUZZ-IEEE 2010: 1-8
67		Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels. IPMU 2010: 119-128
66		Thierry Denoeux: Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects. KSEM 2010: 3
65		Benjamin Quost, Thierry Denoeux: Clustering Fuzzy Data Using the Fuzzy EM Algorithm. SUM 2010: 333-346
64		Thierry Denoeux, Zoulficar Younes, Fahed Abdallah: Representing uncertainty on set-valued variables using belief functions. Artif. Intell. 174(7-8): 479-499 (2010)
63		Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin: Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. of AI 23(1): 117-128 (2010)
62		Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux: State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(5): 1205-1218 (2010)
61		Frédéric Pichon, Thierry Denoeux: The Unnormalized Dempster's Rule of Combination: A New Justification from the Least Commitment Principle and Some Extensions. J. Autom. Reasoning 45(1): 61-87 (2010)
	2009
60		Marie-Hélène Masson, Thierry Denoeux: Belief Functions and Cluster Ensembles. ECSQARU 2009: 323-334
59		Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux: Partially-supervised learning in Independent Factor Analysis. ESANN 2009
58		Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. ICANN (2) 2009: 416-425
57		Krystyna Biletska, Sophie Midenet, Marie-Hélène Masson, Thierry Denoeux: Fuzzy Modelling of Sensor Data for the Estimation of an Origin-Destination Matrix. IFSA/EUSFLAT Conf. 2009: 849-854
56		Benjamin Quost, Thierry Denoeux: Learning from data with uncertain labels by boosting credal classifiers. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 38-47
55		Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux: Multisensor data fusion for OD matrix estimation. SMC 2009: 3024-3029
54		Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. SUM 2009: 297-308
53		David Mercier, Genevieve Cron, Thierry Denoeux, Marie-Hélène Masson: Decision fusion for postal address recognition using belief functions. Expert Syst. Appl. 36(3): 5643-5653 (2009)
52		Thierry Denoeux: Extending stochastic ordering to belief functions on the real line. Inf. Sci. 179(9): 1362-1376 (2009)
51		Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Learning from partially supervised data using mixture models and belief functions. Pattern Recognition 42(3): 334-348 (2009)
50		Marie-Hélène Masson, Thierry Denoeux: RECM: Relational evidential c-means algorithm. Pattern Recognition Letters 30(11): 1015-1026 (2009)
	2008
49		Frédéric Pichon, Thierry Denoeux: A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle. FLAIRS Conference 2008: 666-671
48		Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174
47		Thierry Denoeux: A k -Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 737-760
46		Thierry Denoeux: Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence. Artif. Intell. 172(2-3): 234-264 (2008)
45		David Mercier, Benjamin Quost, Thierry Denoeux: Refined modeling of sensor reliability in the belief function framework using contextual discounting. Information Fusion 9(2): 246-258 (2008)
44		Thierry Denoeux: Special issue in memory of Philippe Smets (1938-2005). Int. J. Approx. Reasoning 48(2): 349-351 (2008)
43		Astride Aregui, Thierry Denoeux: Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities. Int. J. Approx. Reasoning 49(3): 575-594 (2008)
42		Marie-Hélène Masson, Thierry Denoeux: ECM: An evidential version of the fuzzy c. Pattern Recognition 41(4): 1384-1397 (2008)
	2007
41		Thierry Denoeux: Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments. ECSQARU 2007: 1
40		Astride Aregui, Thierry Denoeux: Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities. ECSQARU 2007: 344-355
39		Frédéric Pichon, Thierry Denoeux: On Latent Belief Structures. ECSQARU 2007: 368-380
38		Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson: Pairwise classifier combination using belief functions. Pattern Recognition Letters 28(5): 644-653 (2007)
	2006
37		Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux: Fuzzy multidimensional scaling. Computational Statistics & Data Analysis 51(1): 335-359 (2006)
36		Marie-Hélène Masson, Thierry Denoeux: Inferring a possibility distribution from empirical data. Fuzzy Sets and Systems 157(3): 319-340 (2006)
35		Hughes Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: In Memoriam: Philippe Smets (1938-2005). Fuzzy Sets and Systems 157(8): (2006)
34		Hughes Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: Philippe Smets (1938-2005). Int. J. Approx. Reasoning 41(3): (2006)
33		Thierry Denoeux: Constructing belief functions from sample data using multinomial confidence regions. Int. J. Approx. Reasoning 42(3): 228-252 (2006)
	2005
32		David Mercier, Benjamin Quost, Thierry Denoeux: Contextual Discounting of Belief Functions. ECSQARU 2005: 552-562
31		Thierry Denoeux: R. P. Srivastava and T. J. Mock, Belief Functions in Business Decisions, in Studies in Fuzziness and Soft Computing, vol. 88, Physica-Verlag, Heidelberg (2002) ISBN 3-7908-1451-2 (345pp.) Fuzzy Sets and Systems 151(2): 435-436 (2005)
30		Thierry Denoeux, Marie-Hélène Masson, Pierre-Alexandre Hébert: Nonparametric rank-based statistics and significance tests for fuzzy data. Fuzzy Sets and Systems 153(1): 1-28 (2005)
29		Thierry Denoeux, Piero P. Bonissone: Editorial. Int. J. Approx. Reasoning 40(3): 125-126 (2005)
	2004
28		Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
27		Thierry Denoeux, Marie-Hélène Masson: Principal component analysis of fuzzy data using autoassociative neural networks. IEEE T. Fuzzy Systems 12(3): 336-349 (2004)
26		Thierry Denoeux, Marie-Hélène Masson: EVCLUS: evidential clustering of proximity data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(1): 95-109 (2004)
25		Simon Petit-Renaud, Thierry Denoeux: Nonparametric regression analysis of uncertain and imprecise data using belief functions. Int. J. Approx. Reasoning 35(1): 1-28 (2004)
24		Marie-Hélène Masson, Thierry Denoeux: Clustering interval-valued proximity data using belief functions. Pattern Recognition Letters 25(2): 163-171 (2004)
	2003
23		Sabrina Démotier, Thierry Denoeux, Paul Walter Schön: Risk Assessment in Drinking Water Production Using Belief Functions. ECSQARU 2003: 319-331
22		Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(2): 75-85 (2003)
21		Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(3): 235-236 (2003)
	2002
20		Marie-Hélène Masson, Thierry Denoeux: Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets and Systems 128(3): 339-352 (2002)
19		Thierry Denoeux, Amel Ben Yaghlane: Approximating the combination of belief functions using the fast Mo"bius transform in a coarsened frame. Int. J. Approx. Reasoning 31(1-2): 77-101 (2002)
	2001
18		Amel Ben Yaghlane, Thierry Denoeux, Khaled Mellouli: Coarsening Approximations of Belief Functions. ECSQARU 2001: 362-373
17		Patrick Vannoorenberghe, Thierry Denoeux: Likelihood-based Vs Distance-based Evidential Classifiers. FUZZ-IEEE 2001: 320-323
16		Thierry Denoeux, Lalla Merieme Zouhal: Handling possibilistic labels in pattern classification using evidential reasoning. Fuzzy Sets and Systems 122(3): 409-424 (2001)
15		Nicolas Valentin, Thierry Denoeux: A neural network-based software sensor for coagulation control in a water treatment plant. Intell. Data Anal. 5(1): 23-39 (2001)
14		Thierry Denoeux: Inner and Outer Approximation of Belief Structures Using a Hierarchical Clustering Approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(4): 437-460 (2001)
	2000
13		Thierry Denoeux: A neural network classifier based on Dempster-Shafer theory. IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(2): 131-150 (2000)
12		Thierry Denoeux, Marie-Hélène Masson: Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters 21(1): 83-92 (2000)
	1999
11		Simon Petit-Renaud, Thierry Denoeux: Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach. ESCQARU 1999: 340-351
10		Michèle Rombaut, Iman Jarkass, Thierry Denoeux: State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory. ESCQARU 1999: 352-361
9		Thierry Denoeux: Reasoning with imprecise belief structures. Int. J. Approx. Reasoning 20(1): 79-111 (1999)
	1998
8		Lalla Merieme Zouhal, Thierry Denoeux: An evidence-theoretic k-NN rule with parameter optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(2): 263-271 (1998)
	1997
7		Thierry Denoeux: Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition 30(7): 1095-1107 (1997)
	1996
6		Régis Lengellé, Thierry Denoeux: Training MLPs layer by layer using an objective function for internal representations. Neural Networks 9(1): 83-97 (1996)
	1995
5		Lalla Merieme Zouhal, Thierry Denoeux: An Adaptive k-NN Rule Based on Dempster-Shafer Theory. CAIP 1995: 310-317
4		Mohamed Karouia, Régis Lengellé, Thierry Denoeux: Performance analysis of a MLP weight initialization algorithm. ESANN 1995
3		Thierry Denoeux: A k-nearest neighbor classification rule based on Dempster-Shafer theory. IEEE Transactions on Systems, Man, and Cybernetics 25(5): 804-813 (1995)
2		Thierry Denoeux, P. Rizand: Analysis of Rainfall Forecasting using Neural Networks. Neural Computing and Applications 3(1): 50-61 (1995)
	1993
1		Thierry Denoeux, Régis Lengellé: Initializing back propagation networks with prototypes. Neural Networks 6(3): 351-363 (1993)

Coauthor Index

1	Fahed Abdallah	[54] [62] [64] [67] [68] [72] [74] [86]
2	Nadia Ben Abdallah	[81]
3	Patrice Aknin	[48] [51] [58] [59] [63] [75] [76]
4	V. Antoine	[78]
5	Violaine Antoine	[69]
6	Astride Aregui	[40] [43]
7	Véronique Berge-Cherfaoui (Véronique Cherfaoui)	[84]
8	Hughes Bersini	[34] [35]
9	Krystyna Biletska	[55] [57]
10	Piero P. Bonissone	[29]
11	Zohra Leila Cherfi	[75] [76]
12	Etienne Côme	[48] [51] [58] [59] [75] [76]
13	Genevieve Cron	[53]
14	Alexandra Debiolles	[63]
15	Sabrina Démotier	[23]
16	Sébastien Destercke	[80]
17	Didier Dubois	[34] [35] [77] [82]
18	Bertrand Ducourthial	[84]
19	Jérémie François	[21] [22]
20	Yves Grandvalet	[21] [22] [28]
21	Pierre-Alexandre Hébert	[30] [37]
22	Iman Jarkass	[10]
23	Sawsan Kanj	[86]
24	Mohamed Karouia	[4]
25	Régis Lengellé	[1] [4] [6]
26	Marie-Hélène Masson	[12] [20] [24] [26] [27] [30] [36] [37] [38] [42] [50] [53] [55] [57] [60] [69] [70] [71] [78] [79] [85] [87]
27	Khaled Mellouli	[18]
28	David Mercier	[32] [45] [53]
29	Sophie Midenet	[55] [57]
30	Ghalia Nassreddine	[62] [72]
31	Latifa Oukhellou	[48] [51] [58] [59] [63] [75] [76]
32	Simon Petit-Renaud	[11] [25]
33	Frédéric Pichon	[39] [49] [61] [77]
34	Henri Prade	[34] [35]
35	Benjamin Quost	[32] [38] [45] [56] [65] [69] [70] [78]
36	Emmanuel Ramasso	[83]
37	P. Rizand	[2]
38	Jean-Michel Roger	[21] [22]
39	Michèle Rombaut	[10]
40	Paul Walter Schön	[23]
41	Hichem Snoussi	[74]
42	Sandro Glaucio Maquiné de Souza	[28]
43	Nicolas Sutton-Charani	[80]
44	Nicolas Valentin	[15]
45	Patrick Vannoorenberghe	[17]
46	Nassima Mouhous Voyneau	[81]
47	Amel Ben Yaghlane	[18] [19]
48	Zoulficar Younes	[54] [64] [67] [68] [74]
49	Noureddine Zerhouni	[83]
50	Nicole El Zoghby	[84]
51	Lalla Merieme Zouhal	[5] [8] [16]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page