Thierry Denoeux

	2009
54		Marie-Hélène Masson, Thierry Denoeux: Belief Functions and Cluster Ensembles. ECSQARU 2009: 323-334
53		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
52		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
51		Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. SUM 2009: 297-308
50		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)
49		Thierry Denoeux: Extending stochastic ordering to belief functions on the real line. Inf. Sci. 179(9): 1362-1376 (2009)
48		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)
47		Marie-Hélène Masson, Thierry Denoeux: RECM: Relational evidential c-means algorithm. Pattern Recognition Letters 30(11): 1015-1026 (2009)
	2008
46		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
45		Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174
44		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
43		Thierry Denoeux: Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence. Artif. Intell. 172(2-3): 234-264 (2008)
42		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)
41		Thierry Denoeux: Special issue in memory of Philippe Smets (1938-2005). Int. J. Approx. Reasoning 48(2): 349-351 (2008)
40		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)
39		Marie-Hélène Masson, Thierry Denoeux: ECM: An evidential version of the fuzzy c. Pattern Recognition 41(4): 1384-1397 (2008)
	2007
38		Thierry Denoeux: Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments. ECSQARU 2007: 1
37		Astride Aregui, Thierry Denoeux: Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities. ECSQARU 2007: 344-355
36		Frédéric Pichon, Thierry Denoeux: On Latent Belief Structures. ECSQARU 2007: 368-380
35		Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson: Pairwise classifier combination using belief functions. Pattern Recognition Letters 28(5): 644-653 (2007)
	2006
34		Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux: Fuzzy multidimensional scaling. Computational Statistics & Data Analysis 51(1): 335-359 (2006)
33		Marie-Hélène Masson, Thierry Denoeux: Inferring a possibility distribution from empirical data. Fuzzy Sets and Systems 157(3): 319-340 (2006)
32		Hughes Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: In Memoriam: Philippe Smets (1938-2005). Fuzzy Sets and Systems 157(8): (2006)
31		Hughes Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: Philippe Smets (1938-2005). Int. J. Approx. Reasoning 41(3): (2006)
30		Thierry Denoeux: Constructing belief functions from sample data using multinomial confidence regions. Int. J. Approx. Reasoning 42(3): 228-252 (2006)
	2005
29		David Mercier, Benjamin Quost, Thierry Denoeux: Contextual Discounting of Belief Functions. ECSQARU 2005: 552-562
28		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)
27		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)
26		Thierry Denoeux, Piero P. Bonissone: Editorial. Int. J. Approx. Reasoning 40(3): 125-126 (2005)
	2004
25		Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
24		Thierry Denoeux, Marie-Hélène Masson: Principal component analysis of fuzzy data using autoassociative neural networks. IEEE T. Fuzzy Systems 12(3): 336-349 (2004)
23		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)
22		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)
21		Marie-Hélène Masson, Thierry Denoeux: Clustering interval-valued proximity data using belief functions. Pattern Recognition Letters 25(2): 163-171 (2004)
	2003
20		Sabrina Démotier, Thierry Denoeux, Paul Walter Schön: Risk Assessment in Drinking Water Production Using Belief Functions. ECSQARU 2003: 319-331
19		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)
18		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
17		Marie-Hélène Masson, Thierry Denoeux: Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets and Systems 128(3): 339-352 (2002)
16		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
15		Amel Ben Yaghlane, Thierry Denoeux, Khaled Mellouli: Coarsening Approximations of Belief Functions. ECSQARU 2001: 362-373
14		Patrick Vannoorenberghe, Thierry Denoeux: Likelihood-based Vs Distance-based Evidential Classifiers. FUZZ-IEEE 2001: 320-323
13		Thierry Denoeux, Lalla Merieme Zouhal: Handling possibilistic labels in pattern classification using evidential reasoning. Fuzzy Sets and Systems 122(3): 409-424 (2001)
12		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)
11		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
10		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)
9		Thierry Denoeux, Marie-Hélène Masson: Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters 21(1): 83-92 (2000)
	1999
8		Simon Petit-Renaud, Thierry Denoeux: Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach. ESCQARU 1999: 340-351
7		Michèle Rombaut, Iman Jarkass, Thierry Denoeux: State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory. ESCQARU 1999: 352-361
6		Thierry Denoeux: Reasoning with imprecise belief structures. Int. J. Approx. Reasoning 20(1): 79-111 (1999)
	1997
5		Thierry Denoeux: Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition 30(7): 1095-1107 (1997)
	1996
4		Régis Lengellé, Thierry Denoeux: Training MLPs layer by layer using an objective function for internal representations. Neural Networks 9(1): 83-97 (1996)
	1995
3		Lalla Merieme Zouhal, Thierry Denoeux: An Adaptive k-NN Rule Based on Dempster-Shafer Theory. CAIP 1995: 310-317
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	[51]
2	Patrice Aknin	[45] [48] [53]
3	Astride Aregui	[37] [40]
4	Hughes Bersini	[31] [32]
5	Piero P. Bonissone	[26]
6	Etienne Côme	[45] [48] [53]
7	Genevieve Cron	[50]
8	Sabrina Démotier	[20]
9	Didier Dubois	[31] [32]
10	Jérémie François	[18] [19]
11	Yves Grandvalet	[18] [19] [25]
12	Pierre-Alexandre Hébert	[27] [34]
13	Iman Jarkass	[7]
14	Régis Lengellé	[1] [4]
15	Marie-Hélène Masson	[9] [17] [21] [23] [24] [27] [33] [34] [35] [39] [47] [50] [54]
16	Khaled Mellouli	[15]
17	David Mercier	[29] [42] [50]
18	Latifa Oukhellou	[45] [48] [53]
19	Simon Petit-Renaud	[8] [22]
20	Frédéric Pichon	[36] [46]
21	Henri Prade	[31] [32]
22	Benjamin Quost	[29] [35] [42] [52]
23	P. Rizand	[2]
24	Jean-Michel Roger	[18] [19]
25	Michèle Rombaut	[7]
26	Paul Walter Schön	[20]
27	Sandro Glaucio Maquiné de Souza	[25]
28	Nicolas Valentin	[12]
29	Patrick Vannoorenberghe	[14]
30	Amel Ben Yaghlane	[15] [16]
31	Zoulficar Younes	[51]
32	Lalla Merieme Zouhal	[3] [13]

Colors in the list of coauthors