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 ====== Journal papers ======
+V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CEVCLUS: evidential clustering with instance-level constraints for relational data. Soft Computing, 2013, DOI: 10.1007/s00500-013-1146-z {{fr:2013_soco.pdf|pdf}}
+V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM: Constrained Evidential C-Means algorithm. Computational Statistics and Data Analysis, vol. 56, issue 4, pages 894-914, 2012. {{fr:2010_csda.pdf|pdf}}
+B. Quost, M.-H. Masson and T. Denoeux. Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules. International Journal of Approximate Reasoning, vol. 52, issue 3, pages 353-374, 2011. {{fr:2010_ijar.pdf|pdf}}
+D. Mercier, B. Quost and T. Denoeux. Refined modeling of sensor reliability in the belief function framework using contextual discounting. Information Fusion, vol. 9, pages 246–258, 2008. {{fr:2008_if.pdf|pdf}}
+B. Quost, T. Denoeux and M.-H. Masson. Combinaison crédibiliste de classifieurs binaires. Traitement du Signal, vol. 24, issue 2, pages 83-101, 2007. {{fr:2007_ttsig.pdf|pdf}}
+B. Quost, T. Denoeux and M.-H. Masson. Pairwise classifier combination using belief functions. Pattern Recognition Letters, vol. 28, issue 5 , Pages 644-653, 2007. {{fr:2007_prl.pdf|pdf}}
-D. Mercier, B. Quost and T. Denoeux. Refined modeling of sensor reliability in the belief function framework using contextual discounting, Information Fusion, Vol. 9, pages 246–258, 2008. {{fr:2008_if.pdf|pdf}}
-B. Quost, T. Denoeux and M.-H. Masson. Combinaison crédibiliste de classifieurs binaires. Traitement du Signal, Vol. 24, Issue 2, pages 83-101, 2007. {{fr:2007_ttsig.pdf|pdf}}
-B. Quost, T. Denoeux and M.-H. Masson. Pairwise classifier combination using belief functions. Pattern Recognition Letters, Volume 28, Issue 5 , Pages 644-653, 2007. {{fr:2007_prl.pdf|pdf}}
@@ Line 13: / Line 33: @@
 ====== Conference papers ======
-V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM: Adding pairwise constraints to evidential clustering. Accepted for publication in Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (Fuzz'IEEE 2010), Barcelona, Spain, July 2010. {{fr:2010_fuzzieee.pdf|pdf}}
+Zhou, D. and Frémont, V. and Quost, B., Moving Objects Detection and Credal Boosting Based Recognition in Urban Environments, International Conference on Cybernetics and Intelligent System & Robotics, Automation and Mechatronics (CIS-RAM), To appear, 2013. {{fr:2013_cisram.pdf|pdf}}
+X. Wang, B. Quost, J.D. Chazot and J. Antoni. Sound source localization from uncertain information using the Evidential EM algorithm. Proceedings of the 7th International Conference on Scalable Uncertainty Management and Applications (SUM’2013), Washington, D.C., USA, September 16-18, 2013. {{fr:2013_sum.pdf|pdf}}
+S. Destercke and B. Quost. Correcting Binary Imprecise Classifiers: Local vs Global Approach. In E. Hüllermeier, S. Link, T. Fober, and B. Seeger (eds.): Proceedings of the 6th International Conference on Scalable Uncertainty Management and Applications (SUM'2012), September 2012, Marburg, Germany, LNAI-7520, pp. 299—310, Springer-Verlag.{{fr:2012_sum.pdf|pdf}}
+S. Destercke and B. Quost. Combining Binary Classifiers with Imprecise Probabilities. In Y. Tang, V.-N. Huynh, and J. Lawry (eds.): Proceedings of the International Symposium on Integrated Uncertainty Management and Applications (IUKM'2011), October 28-30, 2011, Zhejiang, Hangzhou, China, LNAI-7027, pp. 219–230, Springer-Verlag. {{fr:2011_iukm.pdf|pdf}}
+B. Quost and T. Denoeux. Clustering fuzzy data using the fuzzy EM algorithm. In A. Deshpande, A. Hunter (eds): Proceedings of the 4th International Conference on Scalable Uncertainty Management (SUM'2010), September 27-29, 2010, Toulouse, France, LNAI-6379, pp. 333-346, Springer-Verlag. {{fr:2010_sum.pdf|pdf}}
+V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM: Adding pairwise constraints to evidential clustering. 2010 IEEE International Conference on Fuzzy Systems (FUZZ‐IEEE 2010), Barcelona, Spain, July 2010, pages 879-886, IEEE. {{fr:2010_fuzzieee.pdf|pdf}}
-V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. Evidential clustering with constraints and adptive metric. In Workshop on the theory of belief functions, Brest, France, April 2010. {{fr:2010_wtbf.pdf|pdf}}
+V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. Evidential clustering with constraints and adaptive metric. In Workshop on the theory of belief functions, Brest, France, April 2010. {{fr:2010_wtbf.pdf|pdf}}
 V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM : Algorithme évidentiel des c-moyennes avec contraintes. In Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2009), pages 275-282, Annecy, France, November 2009, Cépaduès-Editions. {{fr:2009_lfa.pdf|pdf}}
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 B. Quost, T. Denoeux, and M.-H. Masson. Adapting a Combination Rule to Non-Independent Information Sources. In L. Magdalena, M. Ojeda-Aciego, J.L. Verdegay (eds): Proceedings of IPMU’08, pp. 448-455, Torremolinos (Malaga), June 22-27, 2008. {{fr:2008_ipmu.pdf|pdf}}
-B. Quost, T. Denoeux, and M. Masson. One-against-all combination in the framework of belief functions, Proceedings of IPMU’2006, Vol I, pages 356-363, Paris, France, July 2006. {{fr:2006_ipmu.pdf|pdf}}
+B. Quost, T. Denoeux, and M. Masson. One-against-all combination in the framework of belief functions, Proceedings of IPMU’2006, vol. I, pages 356-363, Paris, France, July 2006. {{fr:2006_ipmu.pdf|pdf}}
 B. Quost, T. Denoeux, M. Masson. Pairwise Classifier Combination in the Framework of Belief Functions, Proceedings of FUSION’2005, Philadelphia, PA, USA, July 2005. {{fr:2005_fusion.pdf|pdf}}

UMR CNRS 7253

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