2009 |
46 | EE | 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) |
2008 |
45 | | 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 |
44 | EE | Etienne Côme,
Latifa Oukhellou,
Thierry Denoeux,
Patrice Aknin:
Mixture Model Estimation with Soft Labels.
SMPS 2008: 165-174 |
43 | EE | 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 |
42 | EE | Thierry Denoeux:
Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence.
Artif. Intell. 172(2-3): 234-264 (2008) |
41 | EE | 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) |
40 | EE | Thierry Denoeux:
Special issue in memory of Philippe Smets (1938-2005).
Int. J. Approx. Reasoning 48(2): 349-351 (2008) |
39 | EE | 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) |
38 | EE | Marie-Hélène Masson,
Thierry Denoeux:
ECM: An evidential version of the fuzzy c.
Pattern Recognition 41(4): 1384-1397 (2008) |
2007 |
37 | EE | Thierry Denoeux:
Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.
ECSQARU 2007: 1 |
36 | EE | Astride Aregui,
Thierry Denoeux:
Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities.
ECSQARU 2007: 344-355 |
35 | EE | Frédéric Pichon,
Thierry Denoeux:
On Latent Belief Structures.
ECSQARU 2007: 368-380 |
34 | EE | Benjamin Quost,
Thierry Denoeux,
Marie-Hélène Masson:
Pairwise classifier combination using belief functions.
Pattern Recognition Letters 28(5): 644-653 (2007) |
2006 |
33 | EE | Pierre-Alexandre Hébert,
Marie-Hélène Masson,
Thierry Denoeux:
Fuzzy multidimensional scaling.
Computational Statistics & Data Analysis 51(1): 335-359 (2006) |
32 | EE | Marie-Hélène Masson,
Thierry Denoeux:
Inferring a possibility distribution from empirical data.
Fuzzy Sets and Systems 157(3): 319-340 (2006) |
31 | EE | Hughes Bersini,
Thierry Denoeux,
Didier Dubois,
Henri Prade:
In Memoriam: Philippe Smets (1938-2005).
Fuzzy Sets and Systems 157(8): (2006) |
30 | EE | Hughes Bersini,
Thierry Denoeux,
Didier Dubois,
Henri Prade:
Philippe Smets (1938-2005).
Int. J. Approx. Reasoning 41(3): (2006) |
29 | EE | Thierry Denoeux:
Constructing belief functions from sample data using multinomial confidence regions.
Int. J. Approx. Reasoning 42(3): 228-252 (2006) |
2005 |
28 | EE | David Mercier,
Benjamin Quost,
Thierry Denoeux:
Contextual Discounting of Belief Functions.
ECSQARU 2005: 552-562 |
27 | EE | 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) |
26 | EE | 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) |
25 | EE | Thierry Denoeux,
Piero P. Bonissone:
Editorial.
Int. J. Approx. Reasoning 40(3): 125-126 (2005) |
2004 |
24 | EE | Sandro Glaucio Maquiné de Souza,
Thierry Denoeux,
Yves Grandvalet:
Recycling experiments for sludge monitoring in waste water treatment.
SMC (2) 2004: 1342-1347 |
23 | EE | Thierry Denoeux,
Marie-Hélène Masson:
Principal component analysis of fuzzy data using autoassociative neural networks.
IEEE T. Fuzzy Systems 12(3): 336-349 (2004) |
22 | EE | 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) |
21 | EE | 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) |
20 | EE | Marie-Hélène Masson,
Thierry Denoeux:
Clustering interval-valued proximity data using belief functions.
Pattern Recognition Letters 25(2): 163-171 (2004) |
2003 |
19 | EE | Sabrina Démotier,
Thierry Denoeux,
Paul Walter Schön:
Risk Assessment in Drinking Water Production Using Belief Functions.
ECSQARU 2003: 319-331 |
18 | EE | 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) |
17 | EE | 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 |
16 | EE | Marie-Hélène Masson,
Thierry Denoeux:
Multidimensional scaling of fuzzy dissimilarity data.
Fuzzy Sets and Systems 128(3): 339-352 (2002) |
15 | EE | 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 |
14 | EE | Amel Ben Yaghlane,
Thierry Denoeux,
Khaled Mellouli:
Coarsening Approximations of Belief Functions.
ECSQARU 2001: 362-373 |
13 | | Patrick Vannoorenberghe,
Thierry Denoeux:
Likelihood-based Vs Distance-based Evidential Classifiers.
FUZZ-IEEE 2001: 320-323 |
12 | EE | Thierry Denoeux,
Lalla Merieme Zouhal:
Handling possibilistic labels in pattern classification using evidential reasoning.
Fuzzy Sets and Systems 122(3): 409-424 (2001) |
11 | EE | 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) |
10 | EE | 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 |
9 | | 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) |
8 | EE | Thierry Denoeux,
Marie-Hélène Masson:
Multidimensional scaling of interval-valued dissimilarity data.
Pattern Recognition Letters 21(1): 83-92 (2000) |
1999 |
7 | EE | Simon Petit-Renaud,
Thierry Denoeux:
Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach.
ESCQARU 1999: 340-351 |
6 | EE | Michèle Rombaut,
Iman Jarkass,
Thierry Denoeux:
State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory.
ESCQARU 1999: 352-361 |
5 | EE | Thierry Denoeux:
Reasoning with imprecise belief structures.
Int. J. Approx. Reasoning 20(1): 79-111 (1999) |
1996 |
4 | EE | 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 | EE | Thierry Denoeux,
Régis Lengellé:
Initializing back propagation networks with prototypes.
Neural Networks 6(3): 351-363 (1993) |