 | 2012 |
| 24 |  | 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 |
| 23 |  | Marie-Hélène Masson,
Thierry Denoeux:
Ranking from Pairwise Comparisons in the Belief Functions Framework.
Belief Functions 2012: 311-318 |
| 22 |  | 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) |
| 21 |  | V. Antoine,
Benjamin Quost,
Marie-Hélène Masson,
Thierry Denoeux:
CECM: Constrained evidential C-means algorithm.
Computational Statistics & Data Analysis 56(4): 894-914 (2012) |
| 20 |  | Arnaud Martin,
Marie-Hélène Masson:
Editorial.
Int. J. Approx. Reasoning 53(2): 117 (2012) |
| 2011 |
| 19 |  | Marie-Hélène Masson,
Thierry Denoeux:
Ensemble clustering in the belief functions framework.
Int. J. Approx. Reasoning 52(1): 92-109 (2011) |
| 18 |  | 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 |
| 17 |  | Violaine Antoine,
Benjamin Quost,
Marie-Hélène Masson,
Thierry Denoeux:
CECM: Adding pairwise constraints to evidential clustering.
FUZZ-IEEE 2010: 1-8 |
| 2009 |
| 16 |  | Marie-Hélène Masson,
Thierry Denoeux:
Belief Functions and Cluster Ensembles.
ECSQARU 2009: 323-334 |
| 15 |  | 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 |
| 14 |  | Krystyna Biletska,
Marie-Hélène Masson,
Sophie Midenet,
Thierry Denoeux:
Multisensor data fusion for OD matrix estimation.
SMC 2009: 3024-3029 |
| 13 |  | 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) |
| 12 |  | Marie-Hélène Masson,
Thierry Denoeux:
RECM: Relational evidential c-means algorithm.
Pattern Recognition Letters 30(11): 1015-1026 (2009) |
| 2008 |
| 11 |  | Marie-Hélène Masson,
Thierry Denoeux:
ECM: An evidential version of the fuzzy c.
Pattern Recognition 41(4): 1384-1397 (2008) |
| 2007 |
| 10 |  | Benjamin Quost,
Thierry Denoeux,
Marie-Hélène Masson:
Pairwise classifier combination using belief functions.
Pattern Recognition Letters 28(5): 644-653 (2007) |
| 2006 |
| 9 |  | Pierre-Alexandre Hébert,
Marie-Hélène Masson,
Thierry Denoeux:
Fuzzy multidimensional scaling.
Computational Statistics & Data Analysis 51(1): 335-359 (2006) |
| 8 |  | Marie-Hélène Masson,
Thierry Denoeux:
Inferring a possibility distribution from empirical data.
Fuzzy Sets and Systems 157(3): 319-340 (2006) |
| 2005 |
| 7 |  | 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) |
| 2004 |
| 6 |  | Thierry Denoeux,
Marie-Hélène Masson:
Principal component analysis of fuzzy data using autoassociative neural networks.
IEEE T. Fuzzy Systems 12(3): 336-349 (2004) |
| 5 |  | 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) |
| 4 |  | Marie-Hélène Masson,
Thierry Denoeux:
Clustering interval-valued proximity data using belief functions.
Pattern Recognition Letters 25(2): 163-171 (2004) |
| 2002 |
| 3 |  | Marie-Hélène Masson,
Thierry Denoeux:
Multidimensional scaling of fuzzy dissimilarity data.
Fuzzy Sets and Systems 128(3): 339-352 (2002) |
| 2001 |
| 2 |  | L. Tsogo,
Marie-Hélène Masson,
A. Bardot:
Recovery of the metric structure of a pattern of points using minimal information.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(1): 30-42 (2001) |
| 2000 |
| 1 |  | Thierry Denoeux,
Marie-Hélène Masson:
Multidimensional scaling of interval-valued dissimilarity data.
Pattern Recognition Letters 21(1): 83-92 (2000) |