| 2011 | ||
|---|---|---|
| j11 | Julien Chiquet, Yves Grandvalet, Christophe Ambroise: Inferring multiple graphical structures. Statistics and Computing 21(4): 537-553 (2011) | |
| 2010 | ||
| j10 | Hugo Zanghi, Stevenn Volant, Christophe Ambroise: Clustering based on random graph model embedding vertex features. Pattern Recognition Letters 31(9): 830-836 (2010) | |
| 2009 | ||
| j9 | Julien Chiquet, Alexander Smith, Gilles Grasseau, Catherine Matias, Christophe Ambroise: SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics 25(3): 417-418 (2009) | |
| i1 | Hugo Zanghi, Franck Picard, Vincent Miele, Christophe Ambroise: Strategies for Online Inference of Model-Based Clustering in large Networks. CoRR abs/0910.2034 (2009) | |
| 2008 | ||
| j8 | Hugo Zanghi, Christophe Ambroise, Vincent Miele: Fast online graph clustering via Erdös-Rényi mixture. Pattern Recognition 41(12): 3592-3599 (2008) | |
| c11 | Pierre Latouche, Etienne Birmelé, Christophe Ambroise: Bayesian Methods for Graph Clustering. GfKl 2008: 229-239 | |
| 2007 | ||
| j7 | Marta Avalos, Yves Grandvalet, Christophe Ambroise: Parsimonious additive models. Computational Statistics & Data Analysis 51(6): 2851-2870 (2007) | |
| j6 | Allou Samé, Christophe Ambroise, Gérard Govaert: An online classification EM algorithm based on the mixture model. Statistics and Computing 17(3): 209-218 (2007) | |
| 2006 | ||
| j5 | Allou Samé, Christophe Ambroise, Gérard Govaert: A classification EM algorithm for binned data. Computational Statistics & Data Analysis 51(2): 466-480 (2006) | |
| j4 | Aurélien Cord, Christophe Ambroise, Jean Pierre Cocquerez: Feature selection in robust clustering based on Laplace mixture. Pattern Recognition Letters 27(6): 627-635 (2006) | |
| c10 | Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu: Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database. ICIP 2006: 2433-2436 | |
| c9 | Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu: Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database. ICPR (1) 2006: 484-487 | |
| 2005 | ||
| j3 | Marta Avalos, Yves Grandvalet, Christophe Ambroise: Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle 19(4-5): 661-682 (2005) | |
| c8 | Allou Samé, Gérard Govaert, Christophe Ambroise: A Mixture Model-Based On-line CEM Algorithm. IDA 2005: 373-384 | |
| 2004 | ||
| c7 | Geoffrey J. McLachlan, Soong Chang, Jess Mar, Christophe Ambroise, Justin Xi Zhu: On the Simultaneous Use of Clinical and Microarray Expression Data in the Cluster Analysis of Tissue Samples. APBC 2004: 167-171 | |
| 2003 | ||
| c6 | Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez: Feature selection for semisupervised learning applied to image retrieval. ICIP (2) 2003: 559-562 | |
| c5 | Allou Samé, Christophe Ambroise, Gérard Govaert: A Mixture Model Approach for Binned Data Clustering. IDA 2003: 265-274 | |
| c4 | Marta Avalos, Yves Grandvalet, Christophe Ambroise: Regularization Methods for Additive Models. IDA 2003: 509-520 | |
| c3 | Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez: Image Retrieval Using Mixture Models and EM Algorithm. SCIA 2003: 1114-1121 | |
| 2001 | ||
| c2 | Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise: Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48 | |
| c1 | Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise: Semi-supervised MarginBoost. NIPS 2001: 553-560 | |
| 2000 | ||
| j2 | Christophe Ambroise, Geniève Sèze, Fouad Badran, Sylvie Thiria: Hierarchical clustering of self-organizing maps for cloud classification. Neurocomputing 30(1-4): 47-52 (2000) | |
| 1998 | ||
| j1 | Christophe Ambroise, Gérard Govaert: Convergence of an EM-type algorithm for spatial clustering. Pattern Recognition Letters 19(10): 919-927 (1998) | |
Colors in the list of coauthors
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