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Alain Rakotomamonjy: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Kernel Basis Pursuit. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:93-106 [Conf]
  2. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Kernel Basis Pursuit. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:146-157 [Conf]
  3. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Translation invariant classification of non-stationary signals. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:473-478 [Conf]
  4. Alain Rakotomamonjy, Stéphane Canu
    Frame Kernels for Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:707-712 [Conf]
  5. Alain Rakotomamonjy, Vincent Guigue, G. Mallet, V. Alvarado
    Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:45-50 [Conf]
  6. Sébastien Chabrier, Christophe Rosenberger, Hélène Laurent, Alain Rakotomamonjy
    Segmentation Evaluation Using a Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICAPR (1), 2005, pp:426-435 [Conf]
  7. F. Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair
    Object Categorization Using Kernels Combining Graphs and Histograms of Gradients. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2006, pp:23-34 [Conf]
  8. Alain Rakotomamonjy
    Optimizing Area Under Roc Curve with SVMs. [Citation Graph (0, 0)][DBLP]
    ROCAI, 2004, pp:71-80 [Conf]
  9. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Translation-invariant classification of non-stationary signals. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:743-753 [Journal]
  10. Alain Rakotomamonjy
    Variable Selection Using SVM-based Criteria. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1357-1370 [Journal]
  11. Alain Rakotomamonjy, Stéphane Canu
    Frames, Reproducing Kernels, Regularization and Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1485-1515 [Journal]
  12. Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet
    More efficiency in multiple kernel learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:775-782 [Conf]
  13. Alain Rakotomamonjy
    Analysis of SVM regression bounds for variable ranking. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1489-1501 [Journal]

  14. Kernel on Bag of Paths For Measuring Similarity of Shapes. [Citation Graph (, )][DBLP]


  15. One-class SVM regularization path and comparison with alpha seeding. [Citation Graph (, )][DBLP]


  16. Composite kernel learning. [Citation Graph (, )][DBLP]


  17. Support Vector Machines with a Reject Option. [Citation Graph (, )][DBLP]


  18. Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux [Citation Graph (, )][DBLP]


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