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| 2011 | ||
|---|---|---|
| 39 | Xilan Tian, Gilles Gasso, Stéphane Canu: A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN 2011 | |
| 38 | Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu: Handling uncertainties in SVM classification CoRR abs/1106.3397: (2011) | |
| 37 | 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) | |
| 2010 | ||
| 36 | Stéphane Canu: Recent Advances in Kernel Machines. CIARP 2010: 1 | |
| 35 | Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy: Nonlinear functional regression: a functional RKHS approach. Journal of Machine Learning Research - Proceedings Track 9: 374-380 (2010) | |
| 2009 | ||
| 34 | 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 | ||
| 33 | Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu: Regularization path for Ranking SVM. ESANN 2008: 415-420 | |
| 32 | Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu: Support Vector Machines with a Reject Option. NIPS 2008: 537-544 | |
| 2007 | ||
| 31 | Gilles Gasso, Karina Zapien Arreola, Stéphane Canu: Computing and stopping the solution paths for $\nu$-SVR. ESANN 2007: 253-258 | |
| 30 | Karina Zapien Arreola, Gilles Gasso, Stéphane Canu: Estimation of tangent planes for neighborhood graph correction. ESANN 2007: 397-402 | |
| 29 | Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782 | |
| 28 | Gilles Gasso, Karina Zapien Arreola, Stéphane Canu: Sparsity regularization path for semi-supervised SVM. ICMLA 2007: 25-30 | |
| 27 | Gaëlle Loosli, Gilles Gasso, Stéphane Canu: Regularization Paths for nu -SVM and nu -SVR. ISNN (3) 2007: 486-496 | |
| 26 | Gaëlle Loosli, Stéphane Canu: Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". Journal of Machine Learning Research 8: 291-301 (2007) | |
| 2006 | ||
| 25 | Stéphane Canu, Alexander J. Smola: Kernel methods and the exponential family. Neurocomputing 69(7-9): 714-720 (2006) | |
| 24 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation-invariant classification of non-stationary signals. Neurocomputing 69(7-9): 743-753 (2006) | |
| 23 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. Revue d'Intelligence Artificielle 20(6): 757-774 (2006) | |
| 2005 | ||
| 22 | Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu: Détection de contexte par l'apprentissage. CAP 2005: 111-112 | |
| 21 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. CAP 2005: 93-106 | |
| 20 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. ECML 2005: 146-157 | |
| 19 | Stéphane Canu, Alexander J. Smola: Kernel methods and the exponential family. ESANN 2005: 447-454 | |
| 18 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation invariant classification of non-stationary signals. ESANN 2005: 473-478 | |
| 17 | Quoc V. Le, Alexander J. Smola, Stéphane Canu: Heteroscedastic Gaussian process regression. ICML 2005: 489-496 | |
| 16 | Bruno Grilheres, Christophe Beauce, Stéphane Canu, Stephan Brunessaux: A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields. Web Intelligence 2005: 790-793 | |
| 15 | Alain Rakotomamonjy, Stéphane Canu: Frames, Reproducing Kernels, Regularization and Learning. Journal of Machine Learning Research 6: 1485-1515 (2005) | |
| 14 | Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay: Boîte à outils SVM simple et rapide. Revue d'Intelligence Artificielle 19(4-5): 741-767 (2005) | |
| 2004 | ||
| 13 | Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola: Learning with non-positive kernels. ICML 2004 | |
| 12 | Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu: Environmental data mining and modeling based on machine learning algorithms and geostatistics. Environmental Modelling and Software 19(9): 845-855 (2004) | |
| 2003 | ||
| 11 | Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu: Aide à la décision médicale Contribution pour la prise en charge de l'asthme. Ingénierie des Systèmes d'Information 8(1): 11-32 (2003) | |
| 2002 | ||
| 10 | Alain Rakotomamonjy, Stéphane Canu: Frame Kernels for Learning. ICANN 2002: 707-712 | |
| 9 | Yves Grandvalet, Stéphane Canu: Adaptive Scaling for Feature Selection in SVMs. NIPS 2002: 553-560 | |
| 2000 | ||
| 8 | Skander Soltani, Daniel Boichu, Patrice Simard, Stéphane Canu: The long-term memory prediction by multiscale decomposition. Signal Processing 80(10): 2195-2205 (2000) | |
| 1998 | ||
| 7 | Yves Grandvalet, Stéphane Canu: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS 1998: 445-451 | |
| 1997 | ||
| 6 | Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet: Wavelet Frames Based Estimator. ICANN 1997: 319-324 | |
| 5 | Yves Grandvalet, Stéphane Canu: Adaptive Noise Injection for Input Variables Relevance Determination. ICANN 1997: 463-468 | |
| 4 | Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997) | |
| 1995 | ||
| 3 | Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Control of complexity in learning with perturbed inputs. ESANN 1995 | |
| 2 | Yves Grandvalet, Stéphane Canu: Comments on "Noise injection into inputs in back propagation learning". IEEE Transactions on Systems, Man, and Cybernetics 25(4): 678-681 (1995) | |
| 1993 | ||
| 1 | Thibault Langlois, Stéphane Canu: B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. IWANN 1993: 261-266 | |
Colors in the list of coauthors
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