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Stéphane Canu
Stéphane Canu
Professor of Data Science, INSA Rouen
Verified email at insa-rouen.fr - Homepage
Title
Cited by
Cited by
Year
SimpleMKL
A Rakotomamonjy, F Bach, S Canu, Y Grandvalet
Journal of Machine Learning Research 9, 2491-2521, 2008
17352008
Svm and kernel methods matlab toolbox
S Canu
http://asi. insa-rouen. fr/enseignants/~ arakoto/toolbox/index. html, 2005
5652005
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
3862007
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
3482009
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
2812004
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 2019
2532019
Adaptive scaling for feature selection in SVMs
Y Grandvalet, S Canu
Advances in neural information processing systems 15, 2002
2422002
Training invariant support vector machines using selective sampling
G Loosli, S Canu, L Bottou
Large scale kernel machines 2, 2007
2162007
Technology and perception: The contribution of sensory substitution systems
C Lenay, S Canu, P Villon
Proceedings Second International Conference on Cognitive Technology …, 1997
1721997
Heteroscedastic Gaussian process regression
QV Le, AJ Smola, S Canu
Proceedings of the 22nd international conference on Machine learning, 489-496, 2005
1692005
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
1492004
Noise injection: Theoretical prospects
Y Grandvalet, S Canu, S Boucheron
Neural Computation 9 (5), 1093-1108, 1997
1281997
Support vector machines with a reject option
Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu
Advances in neural information processing systems 21, 2008
1222008
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism
T Zhou, S Canu, S Ruan
International Journal of Imaging Systems and Technology 31 (1), 16-27, 2021
116*2021
Frames, Reproducing Kernels, Regularization and Learning.
A Rakotomamonjy, S Canu, A Smola
Journal of Machine Learning Research 6 (9), 2005
1082005
Kernel methods and the exponential family
S Canu, A Smola
Neurocomputing 69 (7-9), 714-720, 2006
1072006
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
982013
An approach to water supply clusters by semi-supervised learning
M Herrera, S Canu, A Karatzoglou, R Pérez-García, J Izquierdo
972010
Learning SVM in Kreĭn spaces
G Loosli, S Canu, CS Ong
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1204-1216, 2015
962015
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
Y Grandvalet, S Canu
Advances in neural information processing systems 11, 1998
931998
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Articles 1–20