Stéphane Canu
Stéphane Canu
Professor of Data Science, INSA Rouen
Verified email at insa-rouen.fr - Homepage
TitleCited byYear
SimpleMKL
A Rakotomamonjy, FR Bach, S Canu, Y Grandvalet
Journal of Machine Learning Research 9 (Nov), 2491-2521, 2008
14712008
Svm and kernel methods matlab toolbox
S Canu
http://asi. insa-rouen. fr/enseignants/~ arakoto/toolbox/index. html, 2005
5232005
More efficiency in multiple kernel learning
A Rakotomamonjy, F Bach, S Canu, Y Grandvalet
Proceedings of the 24th international conference on Machine learning, 775-782, 2007
3312007
Recovering sparse signals with a certain family of nonconvex penalties and DC programming
G Gasso, A Rakotomamonjy, S Canu
IEEE Transactions on Signal Processing 57 (12), 4686-4698, 2009
2932009
Adaptive scaling for feature selection in SVMs
Y Grandvalet, S Canu
Advances in neural information processing systems, 569-576, 2003
2252003
Learning with non-positive kernels
CS Ong, X Mary, S Canu, AJ Smola
Proceedings of the twenty-first international conference on Machine learning, 81, 2004
2242004
Training invariant support vector machines using selective sampling
G Loosli, S Canu, L Bottou
Large scale kernel machines 2, 2007
1742007
Technology and perception: The contribution of sensory substitution systems
C Lenay, S Canu, P Villon
Proceedings Second International Conference on Cognitive Technology …, 1997
1611997
Environmental data mining and modeling based on machine learning algorithms and geostatistics
M Kanevski, R Parkin, A Pozdnukhov, V Timonin, M Maignan, ...
Environmental Modelling & Software 19 (9), 845-855, 2004
1072004
Noise injection: Theoretical prospects
Y Grandvalet, S Canu, S Boucheron
Neural Computation 9 (5), 1093-1108, 1997
1021997
Frames, reproducing kernels, regularization and learning
A Rakotomamonjy, S Canu
Journal of Machine Learning Research 6 (Sep), 1485-1515, 2005
972005
Heteroscedastic Gaussian process regression
QV Le, AJ Smola, S Canu
Proceedings of the 22nd international conference on Machine learning, 489-496, 2005
942005
Statistique et méthodes neuronales
Y Lechevallier, O Gascuel, S Canu
Dunod, 1997
931997
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
Y Grandvalet, S Canu
Advances in neural information processing systems, 445-451, 1999
831999
Support vector machines with a reject option
Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu
Advances in neural information processing systems, 537-544, 2009
822009
Kernel methods and the exponential family
S Canu, A Smola
Neurocomputing 69 (7-9), 714-720, 2006
792006
An approach to water supply clusters by semi-supervised learning
M Herrera, S Canu, A Karatzoglou, R Pérez-García, J Izquierdo
742010
Nonconvex regularizations for feature selection in ranking with sparse SVM
L Laporte, R Flamary, S Canu, S Déjean, J Mothe
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1118-1130, 2013
732013
Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning
A Rakotomamonjy, R Flamary, G Gasso, S Canu
IEEE Transactions on Neural Networks 22 (8), 1307-1320, 2011
732011
The long-term memory prediction by multiscale decomposition
S Soltani, D Boichu, P Simard, S Canu
Signal processing 80 (10), 2195-2205, 2000
632000
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