About
Discord Stateoftheart AI
GitHub

Publications

247

Cited by

6323

Stéphane Canu

machine learningpattern recognitionkernel machinessparcity
Intelligence and National Security Alliance

United States

Papers and Citations

1 - 50
SimpleMKL
2008
Stéphane Canu
Francis Bach
Alain Rakotomamonjy
+1
Cited by 1585
More efficiency in multiple kernel learning
2007
Francis Bach
Alain Rakotomamonjy
Stéphane Canu
+1
Cited by 347
Recovering sparse signals with a certain family of nonconvex penalties and DC programming
2009
Gilles Gasso
Alain Rakotomamonjy
Stéphane Canu
Cited by 315
Learning with non-positive kernels
2004
Cheng Soon Ong
Stéphane Canu
Alex Smola
+1
Cited by 255
Adaptive scaling for feature selection in SVMs
2003
Stéphane Canu
Yves Grandvalet
Cited by 231
Training invariant support vector machines using selective sampling
2007
Leon Bottou
Stéphane Canu
Gaëlle Loosli
Cited by 193
Heteroscedastic Gaussian process regression
2005
Stéphane Canu
Alex Smola
QV Le
Cited by 130
Environmental data mining and modeling based on machine learning algorithms and geostatistics
2004
Stéphane Canu
Aleksey Pozdnukhov
Michel Maignan
+4
Cited by 124
A review: Deep learning for medical image segmentation using multi-modality fusion
2019
Tongxue Zhou
Su Ruan
Stéphane Canu
Cited by 119
Noise injection: Theoretical prospects
1997
Stephane Boucheron
Yves Grandvalet
Stéphane Canu
Cited by 106
Frames, reproducing kernels, regularization and learning
2005
Stéphane Canu
Alain Rakotomamonjy
Cited by 99
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
1999
Yves Grandvalet
Stéphane Canu
Cited by 90
Nonconvex regularizations for feature selection in ranking with sparse SVM
2013
Stéphane Canu
Josiane Mothe
Sébastien Déjean
+4
Cited by 90
Kernel methods and the exponential family
2006
Stéphane Canu
Alex Smola
Cited by 88
An Approach to Water Supply Clusters by Semi-supervised Learning
2010
R Pérez-García
J Izquierdo
Alexandros Karatzoglou
+2
Cited by 86
Learning SVM in Kreĭn spaces
2015
Cheng Soon Ong
Gaëlle Loosli
Stéphane Canu
Cited by 75
Comments on the" Core Vector Machines: Fast SVM Training on Very Large Data Sets.".
2007
Stéphane Canu
Gaëlle Loosli
Cited by 64
Comments on the``Core Vector Machines: Fast SVM Training on Very Large Data Sets
2007
Stéphane Canu
Gaëlle Loosli
Cited by 63
Operator-valued kernels for learning from functional response data
2016
Philippe Preux
Julien Audiffren
Hachem Kadri
+3
Cited by 63
A multiple kernel framework for inductive semi-supervised SVM learning
2012
Stéphane Canu
Gilles Gasso
X Tian
Cited by 59
Kernel basis pursuit
2005
Vincent Guigue
Stéphane Canu
Alain Rakotomamonjy
Cited by 55
Functional learning through kernels
2003
X Mary
Alain Rakotomamonjy
Stéphane Canu
Cited by 55
Nonlinear functional regression: a functional RKHS approach
2010
Philippe Preux
Emmanuel DUFLOS
Manuel DAVY
+2
Cited by 54
Advanced spatial data analysis and modelling with support vector machines
2000
M Maignan
M Kanevski
Stéphane Canu
+1
Cited by 48
Une boîte à outils rapide et simple pour les SVM
2004
M Chattopadhyay
Gaëlle Loosli
S V N Vishwanathan
+2
Cited by 47
Boîte à outils SVM simple et rapide.
2005
SVN Vishwanathan
M Chattopadhyay
Gaëlle Loosli
+2
Cited by 47
Non‐parametric regression with wavelet kernels
2005
X Mary
Stéphane Canu
Alain Rakotomamonjy
Cited by 41
Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging
2013
C Lartizien
O Rouviere
Rémi Flamary
+2
Cited by 38
Neural network based models for forecasting
1996
X Ding
T Rue
F Pernant
+2
Cited by 34
Socially Enabled Preference Learning from Implicit Feedback Data
2013
T Matuszczyk
Stéphane Canu
Alexandros Karatzoglou
+1
Cited by 31
Support vector machines for classification and mapping of reservoir data
2002
M Maignan
M Kanevski
A Pozdnukhov
+3
Cited by 29
Software sensor design based on empirical data
1999
A Lynggaard-Jensen
MH Masson
Stéphane Canu
+1
Cited by 27
Wavelet analysis residual kriging vs. neural network residual kriging
2001
V Timonin
E Savelieva
M Kanevski
+5
Cited by 27
Invariances in classification: an efficient svm implementation
2005
SVN Vishwanathan
Gaëlle Loosli
Alex Smola
+1
Cited by 26
Ozone peak and pollution forecasting using support vectors
2001
Stéphane Canu
Alain Rakotomamonjy
Cited by 21
Handling uncertainties in SVM classification
2011
Emilie NIAF
Rémi Flamary
Stéphane Canu
+1
Cited by 20
Apprentissage connexionniste
2018
N Villa-Vialaneix
Stéphane Canu
Cited by 16
An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
2020
Stéphane Canu
Tongxue Zhou
Su Ruan
Cited by 14
Spatial data mapping with support vector regression
2000
M Kanevski
Stéphane Canu
Cited by 14
Détection des activités quotidiennes à l'aide des séparateurs à Vaste Marge
2003
Gaëlle Loosli
Alain Rakotomamonjy
Stéphane Canu
Cited by 14
Positive Definite Kernel Functions on Fuzzy Sets
2014
R Hirata
Stéphane Canu
Jorge Guevara
Cited by 14
Splines with non positive kernels
2009
X Mary
Stéphane Canu
Cheng Soon Ong
Cited by 13
Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input
2013
R Hirata
Jorge Guevara
Stéphane Canu
Cited by 13
Comments on the
2007
Stéphane Canu
Cited by 12
Estimation of tangent planes for neighborhood graph correction
2007
K Zapién
Gilles Gasso
Stéphane Canu
Cited by 12
Context changes detection by one-class SVMs
2005
SG Lee
Stéphane Canu
Gaëlle Loosli
Cited by 11
A platform for semantic annotations and ontology population using conditional random fields
2005
S Brunessaux
C Beauce
B Grilheres
+1
Cited by 11
Converting SVDD scores into probability estimates: Application to outlier detection
2017
M El Azami
Carole Lartizien
Stéphane Canu
Cited by 11
Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications.
2006
F Desobry
Manuel DAVY
Stéphane Canu
Cited by 11
General framework for nonlinear functional regression with reproducing kernel hilbert spaces
2009
Manuel DAVY
Philippe Preux
Emmanuel DUFLOS
+2
Cited by 11