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 | 2013 | |
|---|---|---|
| j14 |      | Alain Rakotomamonjy, Rémi Flamary, Florian Yger: Learning with infinitely many features. Machine Learning 91(1): 43-66 (2013) |
| i5 | | Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy: Functional Regularized Least Squares Classi cation with Operator-valued Kernels. CoRR abs/1301.2655 (2013) |
| 2012 | ||
| j13 | | Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy: Large Margin Filtering. IEEE Transactions on Signal Processing 60(2): 648-659 (2012) |
| c23 | | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy: Oblique principal subspace tracking on manifold. ICASSP 2012: 2429-2432 |
| c22 | | |
| c21 | | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy: Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML 2012 |
| c20 | | Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy: Discovering relevant spatial filterbanks for VHR image classification. ICPR 2012: 3212-3215 |
| c19 | | Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux: Multiple Operator-valued Kernel Learning. NIPS 2012: 2438-2446 |
| i4 | | Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux: Multiple Operator-valued Kernel Learning. CoRR abs/1203.1596 (2012) |
| 2011 | ||
| j12 | | Florian Yger, Alain Rakotomamonjy: Wavelet kernel learning. Pattern Recognition 44(10-11): 2614-2629 (2011) |
| j11 | | Florian Yger, Alain Rakotomamonjy: Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures. Revue d'Intelligence Artificielle 25(3): 369-392 (2011) |
| j10 | | Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu: ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Transactions on Neural Networks 22(8): 1307-1320 (2011) |
| c18 | | Rémi Flamary, Florian Yger, Alain Rakotomamonjy: Selecting from an infinite set of features in SVM. ESANN 2011 |
| c17 | | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy: A supervised strategy for deep kernel machine. ESANN 2011 |
| c16 |  | Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy: Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML 2011: 993-1000 |
| i3 | | Rémi Flamary, Alain Rakotomamonjy: Decoding finger movements from ECoG signals using switching linear models. CoRR abs/1106.3395 (2011) |
| i2 | | Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy: Large margin filtering for signal sequence labeling. CoRR abs/1106.3396 (2011) |
| 2010 | ||
| j9 | | Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. Machine Learning 79(1-2): 73-103 (2010) |
| c15 | | Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy: Large margin filtering for Signal Sequence Labeling. ICASSP 2010: 1974-1977 |
| c14 | | Florian Yger, Alain Rakotomamonjy: Large marginwavelet-based dictionary for signal classification. ICASSP 2010: 2182-2185 |
| i1 | | Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy: Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux. CoRR abs/1007.0824 (2010) |
| 2009 | ||
| j8 | | Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu: Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Transactions on Signal Processing 57(12): 4686-4698 (2009) |
| 2008 | ||
| j7 | | Alain Rakotomamonjy, Vincent Guigue: BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller. IEEE Trans. Biomed. Engineering 55(3): 1147-1154 (2008) |
| c13 | | Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. ICML 2008: 1040-1047 |
| c12 | | Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu: Support Vector Machines with a Reject Option. NIPS 2008: 537-544 |
| 2007 | ||
| j6 | | Alain Rakotomamonjy: Analysis of SVM regression bounds for variable ranking. Neurocomputing 70(7-9): 1489-1501 (2007) |
| c11 | | Alain Rakotomamonjy, Manuel Davy: One-class SVM regularization path and comparison with alpha seeding. ESANN 2007: 271-276 |
| c10 | | Frederic Suard, Alain Rakotomamonjy, Abdelaziz Benrshrair: Kernel on Bag of Paths For Measuring Similarity of Shapes. ESANN 2007: 355-360 |
| c9 | | Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782 |
| 2006 | ||
| j5 | | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation-invariant classification of non-stationary signals. Neurocomputing 69(7-9): 743-753 (2006) |
| j4 | | Gaëlle Loosli, Sans-Goog Lee, Alain Rakotomamonjy: Perception d'états affectifs et apprentissage. Revue d'Intelligence Artificielle 20(4-5): 553-582 (2006) |
| j3 | | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. Revue d'Intelligence Artificielle 20(6): 757-774 (2006) |
| c8 | | Frederic Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair: Object Categorization Using Kernels Combining Graphs and Histograms of Gradients. ICIAR (2) 2006: 23-34 |
| 2005 | ||
| j2 | | Alain Rakotomamonjy, Stéphane Canu: Frames, Reproducing Kernels, Regularization and Learning. Journal of Machine Learning Research 6: 1485-1515 (2005) |
| c7 | | |
| c6 | | |
| c5 | | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation invariant classification of non-stationary signals. ESANN 2005: 473-478 |
| c4 | | Alain Rakotomamonjy, Vincent Guigue, G. Mallet, V. Alvarado: Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. ICANN (1) 2005: 45-50 |
| c3 | | Sébastien Chabrier, Christophe Rosenberger, Hélène Laurent, Alain Rakotomamonjy: Segmentation Evaluation Using a Support Vector Machine. ICAPR (1) 2005: 426-435 |
| 2004 | ||
| c2 | | |
| 2003 | ||
| j1 | | Alain Rakotomamonjy: Variable Selection Using SVM-based Criteria. Journal of Machine Learning Research 3: 1357-1370 (2003) |
| 2002 | ||
| c1 | | |
Colors in the list of coauthors
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