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Thierry Denoeux
2010 – today
- 2013
[j53]Thierry Denoeux: Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework. IEEE Trans. Knowl. Data Eng. 25(1): 119-130 (2013)- [c48]Jean-Baptiste Bordes, Franck Davoine, Philippe Xu, Thierry Denoeux: Evidential Grammars for Image Interpretation - Application to Multimodal Traffic Scene Understanding. IUKM 2013: 65-78
- 2012
- [j52]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)
- [j51]V. Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: CECM: Constrained evidential C-means algorithm. Computational Statistics & Data Analysis 56(4): 894-914 (2012)
- [j50]Frédéric Pichon, Didier Dubois, Thierry Denoeux: Relevance and truthfulness in information correction and fusion. Int. J. Approx. Reasoning 53(2): 159-175 (2012)
- [j49]Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. 15(3): 313-326 (2012)
- [j48]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)
- [c47]Sawsan Kanj, Fahed Abdallah, Thierry Denoeux: Evidential Multi-label Classification Using the Random k-Label Sets Approach. Belief Functions 2012: 21-28
- [c46]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux: Classification Trees Based on Belief Functions. Belief Functions 2012: 77-84
- [c45]Marie-Hélène Masson, Thierry Denoeux: Ranking from Pairwise Comparisons in the Belief Functions Framework. Belief Functions 2012: 311-318
- [c44]Nicole El Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denoeux: Distributed Data Fusion for Detecting Sybil Attacks in VANETs. Belief Functions 2012: 351-358
- [c43]Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni: Partially-Hidden Markov Models. Belief Functions 2012: 359-366
- [c42]Didier Dubois, Thierry Denoeux: Conditioning in Dempster-Shafer Theory: Prediction vs. Revision. Belief Functions 2012: 385-392
- [c41]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
- [c40]Sawsan Kanj, Fahed Abdallah, Thierry Denoeux: Purifying training data to improve performance of multi-label classification algorithms. FUSION 2012: 1784-1791
- [c39]Rui Jorge Almeida, Thierry Denoeux, Uzay Kaymak: Constructing Rule-Based Models Using the Belief Functions Framework. IPMU (3) 2012: 554-563
- [c38]Bertrand Ducourthial, Véronique Cherfaoui, Thierry Denoeux: Self-stabilizing Distributed Data Fusion. SSS 2012: 148-162
- [e1]Thierry Denoeux, Marie-Hélène Masson (Eds.): Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012. Advances in Soft Computing 164, Springer 2012, ISBN 978-3-642-29460-0
- 2011
- [j47]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)
- [j46]Thierry Denoeux: Maximum likelihood estimation from fuzzy data using the EM algorithm. Fuzzy Sets and Systems 183(1): 72-91 (2011)
- [j45]Marie-Hélène Masson, Thierry Denoeux: Ensemble clustering in the belief functions framework. Int. J. Approx. Reasoning 52(1): 92-109 (2011)
- [j44]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)
- [j43]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)
- [c37]Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux: Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) 2011: 330-333
- [c36]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
- 2010
- [j42]Thierry Denoeux, Zoulficar Younes, Fahed Abdallah: Representing uncertainty on set-valued variables using belief functions. Artif. Intell. 174(7-8): 479-499 (2010)
- [j41]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)
- [j40]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)
- [j39]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)
- [c35]Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: CECM: Adding pairwise constraints to evidential clustering. FUZZ-IEEE 2010: 1-8
- [c34]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: Fuzzy multi-label learning under veristic variables. FUZZ-IEEE 2010: 1-8
- [c33]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels. IPMU 2010: 119-128
- [c32]Thierry Denoeux: Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects. KSEM 2010: 3
- [c31]Benjamin Quost, Thierry Denoeux: Clustering Fuzzy Data Using the Fuzzy EM Algorithm. SUM 2010: 333-346
2000 – 2009
- 2009
- [j38]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)
- [j37]Thierry Denoeux: Extending stochastic ordering to belief functions on the real line. Inf. Sci. 179(9): 1362-1376 (2009)
- [j36]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)
- [j35]Marie-Hélène Masson, Thierry Denoeux: RECM: Relational evidential c-means algorithm. Pattern Recognition Letters 30(11): 1015-1026 (2009)
- [c30]
- [c29]Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux: Partially-supervised learning in Independent Factor Analysis. ESANN 2009
- [c28]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
- [c27]Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux: A state estimation method for multiple model systems using belief function theory. FUSION 2009: 506-513
- [c26]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
- [c25]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
- [c24]Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux: Multisensor data fusion for OD matrix estimation. SMC 2009: 3024-3029
- [c23]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux: An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. SUM 2009: 297-308
- 2008
- [j34]Thierry Denoeux: Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence. Artif. Intell. 172(2-3): 234-264 (2008)
- [j33]Thierry Denoeux: Special issue in memory of Philippe Smets (1938-2005). Int. J. Approx. Reasoning 48(2): 349-351 (2008)
- [j32]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)
- [j31]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)
- [j30]Marie-Hélène Masson, Thierry Denoeux: ECM: An evidential version of the fuzzy c. Pattern Recognition 41(4): 1384-1397 (2008)
- [c22]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
- [c21]Véronique Cherfaoui, Thierry Denoeux, Zohra Leila Cherfi: Distributed data fusion: application to confidence management in vehicular networks. FUSION 2008: 1-8
- [c20]Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux: Map matching algorithm using belief function theory. FUSION 2008: 1-8
- [c19]Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux: Refined classifier combination using belief functions. FUSION 2008: 1-7
- [c18]Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174
- [p1]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
- 2007
- [j29]Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson: Pairwise classifier combination using belief functions. Pattern Recognition Letters 28(5): 644-653 (2007)
- [c17]Thierry Denoeux: Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments. ECSQARU 2007: 1
- [c16]Astride Aregui, Thierry Denoeux: Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities. ECSQARU 2007: 344-355
- [c15]
- [c14]Astride Aregui, Thierry Denoeux: Fusion of one-class classifiers in the belief function framework. FUSION 2007: 1-8
- 2006
- [j28]Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux: Fuzzy multidimensional scaling. Computational Statistics & Data Analysis 51(1): 335-359 (2006)
- [j27]Marie-Hélène Masson, Thierry Denoeux: Inferring a possibility distribution from empirical data. Fuzzy Sets and Systems 157(3): 319-340 (2006)
- [j26]Hugues Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: In Memoriam: Philippe Smets (1938-2005). Fuzzy Sets and Systems 157(8) (2006)
- [j25]Hugues Bersini, Thierry Denoeux, Didier Dubois, Henri Prade: Philippe Smets (1938-2005). Int. J. Approx. Reasoning 41(3) (2006)
- [j24]Thierry Denoeux: Constructing belief functions from sample data using multinomial confidence regions. Int. J. Approx. Reasoning 42(3): 228-252 (2006)
- [c13]Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION 2006: 1-6
- [c12]Thierry Denoeux: The cautious rule of combination for belief functions and some extensions. FUSION 2006: 1-8
- [c11]David Mercier, Thierry Denoeux, Marie-Hélène Masson: General Correction Mechanisms for Weakening or Reinforcing Belief Functions. FUSION 2006: 1-7
- 2005
- [j23]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)
- [j22]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)
- [j21]
- [c10]David Mercier, Benjamin Quost, Thierry Denoeux: Contextual Discounting of Belief Functions. ECSQARU 2005: 552-562
- 2004
- [j20]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)
- [j19]Marie-Hélène Masson, Thierry Denoeux: Clustering interval-valued proximity data using belief functions. Pattern Recognition Letters 25(2): 163-171 (2004)
- [j18]Thierry Denoeux, Marie-Hélène Masson: Principal component analysis of fuzzy data using autoassociative neural networks. IEEE T. Fuzzy Systems 12(3): 336-349 (2004)
- [j17]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)
- [c9]Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
- 2003
- [j16]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)
- [j15]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)
- [c8]Sabrina Démotier, Thierry Denoeux, Paul Walter Schön: Risk Assessment in Drinking Water Production Using Belief Functions. ECSQARU 2003: 319-331
- [c7]Sabrina Démotier, Paul Walter Schön, Thierry Denoeux, Khaled Odeh: A new approach to assess risk in water treatment using the belief function framework. SMC 2003: 1792-1797
- 2002
- [j14]Marie-Hélène Masson, Thierry Denoeux: Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets and Systems 128(3): 339-352 (2002)
- [j13]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
- [j12]Thierry Denoeux, Lalla Merieme Zouhal: Handling possibilistic labels in pattern classification using evidential reasoning. Fuzzy Sets and Systems 122(3): 409-424 (2001)
- [j11]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)
- [j10]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)
- [c6]Amel Ben Yaghlane, Thierry Denoeux, Khaled Mellouli: Coarsening Approximations of Belief Functions. ECSQARU 2001: 362-373
- [c5]Patrick Vannoorenberghe, Thierry Denoeux: Likelihood-based Vs Distance-based Evidential Classifiers. FUZZ-IEEE 2001: 320-323
- 2000
- [j9]Thierry Denoeux, Marie-Hélène Masson: Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters 21(1): 83-92 (2000)
- [j8]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)
1990 – 1999
- 1999
- [j7]Thierry Denoeux: Reasoning with imprecise belief structures. Int. J. Approx. Reasoning 20(1): 79-111 (1999)
- [c4]Simon Petit-Renaud, Thierry Denoeux: Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach. ESCQARU 1999: 340-351
- [c3]Michèle Rombaut, Iman Jarkass, Thierry Denoeux: State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory. ESCQARU 1999: 352-361
- 1998
- [j6]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
- [j5]Thierry Denoeux: Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition 30(7): 1095-1107 (1997)
- 1996
- [j4]Régis Lengellé, Thierry Denoeux: Training MLPs layer by layer using an objective function for internal representations. Neural Networks 9(1): 83-97 (1996)
- 1995
- [j3]Thierry Denoeux, P. Rizand: Analysis of Rainfall Forecasting using Neural Networks. Neural Computing and Applications 3(1): 50-61 (1995)
- [j2]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)
- [c2]Lalla Merieme Zouhal, Thierry Denoeux: An Adaptive k-NN Rule Based on Dempster-Shafer Theory. CAIP 1995: 310-317
- [c1]Mohamed Karouia, Régis Lengellé, Thierry Denoeux: Performance analysis of a MLP weight initialization algorithm. ESANN 1995
- 1993
- [j1]Thierry Denoeux, Régis Lengellé: Initializing back propagation networks with prototypes. Neural Networks 6(3): 351-363 (1993)
Coauthor Index
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last updated on 2013-10-02 10:56 CEST by the dblp team