Suivre
Stéphane Canu
Stéphane Canu
Professor of Data Science, INSA Rouen
Adresse e-mail validée de insa-rouen.fr - Page d'accueil
Titre
Citée par
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Année
SimpleMKL
A Rakotomamonjy, F Bach, S Canu
Journal of Machine Learning Research 9, 2491-2521, 2008
17572008
Svm and kernel methods matlab toolbox
S Canu
http://asi. insa-rouen. fr/enseignants/~ arakoto/toolbox/index. html, 2005
5602005
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
3872007
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
3582009
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 2019
3262019
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
2882004
Adaptive scaling for feature selection in SVMs
Y Grandvalet, S Canu
Advances in neural information processing systems 15, 2002
2462002
Training invariant support vector machines using selective sampling
G Loosli, S Canu, L Bottou
Large scale kernel machines 2, 2007
2282007
Heteroscedastic Gaussian process regression
QV Le, AJ Smola, S Canu
Proceedings of the 22nd international conference on Machine learning, 489-496, 2005
1972005
Technology and perception: The contribution of sensory substitution systems
C Lenay, S Canu, P Villon
Proceedings Second International Conference on Cognitive Technology …, 1997
1731997
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
1542004
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
150*2021
Noise injection: Theoretical prospects
Y Grandvalet, S Canu, S Boucheron
Neural Computation 9 (5), 1093-1108, 1997
1331997
Support vector machines with a reject option
Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu
Advances in neural information processing systems 21, 2008
1302008
Kernel methods and the exponential family
S Canu, A Smola
Neurocomputing 69 (7-9), 714-720, 2006
1102006
Frames, Reproducing Kernels, Regularization and Learning.
A Rakotomamonjy, S Canu, A Smola
Journal of Machine Learning Research 6 (9), 2005
1092005
Learning SVM in Kreĭn spaces
G Loosli, S Canu, CS Ong
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1204-1216, 2015
1042015
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
1022013
Operator-valued kernels for learning from functional response data
H Kadri, E Duflos, P Preux, S Canu, A Rakotomamonjy, J Audiffren
Journal of Machine Learning Research 17 (20), 1-54, 2016
972016
An approach to water supply clusters by semi-supervised learning
M Herrera, S Canu, A Karatzoglou, R Pérez-García, J Izquierdo
972010
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