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Christophe Ambroise: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    APBC, 2004, pp:167-171 [Conf]
  2. Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise
    Boosting Mixture Models for Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:41-48 [Conf]
  3. Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez
    Feature selection for semisupervised learning applied to image retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:559-562 [Conf]
  4. Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu
    Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:484-487 [Conf]
  5. Marta Avalos, Yves Grandvalet, Christophe Ambroise
    Regularization Methods for Additive Models. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:509-520 [Conf]
  6. Allou Samé, Christophe Ambroise, Gérard Govaert
    A Mixture Model Approach for Binned Data Clustering. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:265-274 [Conf]
  7. Allou Samé, Gérard Govaert, Christophe Ambroise
    A Mixture Model-Based On-line CEM Algorithm. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:373-384 [Conf]
  8. Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
    Semi-supervised MarginBoost. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:553-560 [Conf]
  9. Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez
    Image Retrieval Using Mixture Models and EM Algorithm. [Citation Graph (0, 0)][DBLP]
    SCIA, 2003, pp:1114-1121 [Conf]
  10. Christophe Ambroise, Geniève Sèze, Fouad Badran, Sylvie Thiria
    Hierarchical clustering of self-organizing maps for cloud classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:47-52 [Journal]
  11. Christophe Ambroise, Gérard Govaert
    Convergence of an EM-type algorithm for spatial clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:10, pp:919-927 [Journal]
  12. Aurélien Cord, Christophe Ambroise, Jean Pierre Cocquerez
    Feature selection in robust clustering based on Laplace mixture. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:6, pp:627-635 [Journal]
  13. Allou Samé, Christophe Ambroise, Gérard Govaert
    A classification EM algorithm for binned data. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:51, n:2, pp:466-480 [Journal]
  14. Marta Avalos, Yves Grandvalet, Christophe Ambroise
    Parsimonious additive models. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2007, v:51, n:6, pp:2851-2870 [Journal]
  15. Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu
    Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2433-2436 [Conf]

  16. SIMoNe: Statistical Inference for MOdular NEtworks. [Citation Graph (, )][DBLP]


  17. Strategies for Online Inference of Model-Based Clustering in large Networks [Citation Graph (, )][DBLP]


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