Stéphane Canu

135 papers A* 3A 3B 23C 6Misc 1Journal 62Unranked 31

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu
2024	—	`conf`	Linear Modeling of the Adversarial Noise Space. ECML/PKDD (4) Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu
2024	C	`conf`	The data-driven transferable adversarial space. ACML Yuan Liu, Stéphane Canu
2023	J	`jnl`	A Physically Admissible Stokes Vector Reconstruction in Linear Polarimetric Imaging. J. Math. Imaging Vis. Carole Le Guyader, Samia Ainouz, Stéphane Canu
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I ECML/PKDD (1) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II ECML/PKDD (2) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III ECML/PKDD (3) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV ECML/PKDD (4) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V ECML/PKDD (5) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI ECML/PKDD (6) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	A	`conf`	Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. WACV Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
2022	J	`jnl`	A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2022	J	`jnl`	A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. Comput. Vis. Image Underst. Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
2022	J	`jnl`	Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	—	`conf`	Road Scene Analysis: A Study of Polarimetric and Color-based Features under Various Adverse Weather Conditions. VISIGRAPP (4: VISAPP) Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2022	J	`jnl`	The PolarLITIS Dataset: Road Scenes Under Fog. IEEE Trans. Intell. Transp. Syst. Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2021	J	`jnl`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	—	`conf`	A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2021	J	`jnl`	A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. CoRR Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. Int. J. Imaging Syst. Technol. Tongxue Zhou, Stéphane Canu, Su Ruan
2021	J	`jnl`	Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. IEEE Access Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters. CoRR Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice. J. Glob. Optim. Ruobing Shen, Bo Tang, Leo Liberti, Claudia D'Ambrosio, Stéphane Canu
2021	B	`conf`	Linear Program Powered Attack. IJCNN Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
2021	B	`conf`	Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions. ICIP Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2021	J	`jnl`	Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. CoRR Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
2021	J	`jnl`	Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19. CoRR Yi-Shuai Niu, Wentao Ding, Junpeng Hu, Wenxu Xu, Stéphane Canu
2021	J	`jnl`	Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach. Eng. Appl. Artif. Intell. Amirhossein Rahbari, Marc Rébillat, Nazih Mechbal, Stéphane Canu
2020	B	`conf`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	—	`conf`	A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu
2020	—	`conf`	A new multimodal RGB and polarimetric image dataset for road scenes analysis. CVPR Workshops Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2020	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR Tongxue Zhou, Su Ruan, Stéphane Canu
2020	J	`jnl`	An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR Tongxue Zhou, Stéphane Canu, Su Ruan
2020	—	`conf`	Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation. Comput. Medical Imaging Graph. Tongxue Zhou, Stéphane Canu, Su Ruan
2020	J	`jnl`	Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2020	—	`conf`	Robust and Sparse Support Vector Machines via Mixed Integer Programming. LOD (2) Mahdi Jammal, Stéphane Canu, Maher Abdallah
2020	A	`conf`	Temporal Contrastive Pretraining for Video Action Recognition. WACV Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stéphane Canu
2020	B	`conf`	Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. ICPR Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
2020	J	`jnl`	Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. CoRR Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
2020	—	`conf`	ℓ LOD (2) Mahdi Jammal, Stéphane Canu, Maher Abdallah
2019	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. Array Tongxue Zhou, Su Ruan, Stéphane Canu
2019	—	`conf`	Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. MLMI@MICCAI Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
2019	J	`jnl`	Doc2Vec on the PubMed corpus: study of a new approach to generate related articles. CoRR Emeric Dynomant, Stéfan Jacques Darmoni, Émeline Lejeune, Gaétan Kerdelhué, Jean-Philippe Leroy, Vincent Lequertier, Stéphane Canu, Julien Grosjean
2019	J	`jnl`	Kernels on fuzzy sets: an overview. CoRR Jorge Guevara, Roberto Hirata Jr., Stéphane Canu
2019	J	`jnl`	L 1-norm double backpropagation adversarial defense. CoRR Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
2019	B	`conf`	L1-norm double backpropagation adversarial defense. ESANN Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
2019	J	`jnl`	Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning. CoRR Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf
2019	—	`conf`	Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning. ECML/PKDD (3) Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf
2019	J	`jnl`	Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2019	—	`conf`	Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. ITSC Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2019	J	`jnl`	Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. CoRR Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
2019	—	`conf`	Word Embedding for French Natural Language in Healthcare: A Comparative Study. MedInfo Emeric Dynomant, Romain Lelong, Badisse Dahamna, Clément Massonnaud, Gaétan Kerdelhué, Julien Grosjean, Stéphane Canu, Stéfan Jacques Darmoni
2018	—	`conf`	K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2018	B	`conf`	Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling. FG Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné
2018	J	`jnl`	Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling. CoRR Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné
2017	—	`conf`	A First Derivative Potts Model for Segmentation and Denoising Using ILP. OR Ruobing Shen, Gerhard Reinelt, Stéphane Canu
2017	J	`jnl`	A First Derivative Potts Model for Segmentation and Denoising Using MILP. CoRR Ruobing Shen, Gerhard Reinelt, Stéphane Canu
2017	J	`jnl`	Converting SVDD scores into probability estimates: Application to outlier detection. Neurocomputing Meriem El Azami, Carole Lartizien, Stéphane Canu
2017	B	`conf`	Cross product kernels for fuzzy set similarity. FUZZ-IEEE Jorge Guevara, Roberto Hirata, Stéphane Canu
2017	—	`conf`	Machine Learning, deep learning and optimization in computer vision. QCAV Stéphane Canu
2017	J	`jnl`	Unbiased risk estimates for matrix estimation in the elliptical case. J. Multivar. Anal. Stéphane Canu, Dominique Fourdrinier
2017	J	`jnl`	Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2016	B	`conf`	Converting SVDD scores into probability estimates. ESANN Meriem El Azami, Carole Lartizien, Stéphane Canu
2016	—	`conf`	Kernel Approximations for W-Operator Learning. SIBGRAPI Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu
2016	J	`jnl`	Learning SVM in Kreĭn Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Gaëlle Loosli, Stéphane Canu, Cheng Soon Ong
2016	B	`conf`	NILC: A two level learning algorithm with operator selection. ICIP Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu
2016	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2015	J	`jnl`	Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. CoRR Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2015	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. CoRR Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2015	B	`conf`	Optimal transport for semi-supervised domain adaptation. ESANN Denis Rousselle, Stéphane Canu
2014	B	`conf`	A robust regularization path for the Doubly Regularized Support Vector Machine. ESANN Antoine Lachaud, Stéphane Canu, David Mercier, Frédéric Suard
2014	J	`jnl`	Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
2014	J	`jnl`	Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Trans. Neural Networks Learn. Syst. Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2014	B	`conf`	Positive definite kernel functions on fuzzy sets. FUZZ-IEEE Jorge Guevara, Roberto Hirata, Stéphane Canu
2014	B	`conf`	Robust outlier detection with L0-SVDD. ESANN Meriem El Azami, Carole Lartizien, Stéphane Canu
2013	B	`conf`	Detection and quantification in real-time polymerase chain reaction. ESANN Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu
2013	B	`conf`	Emotional Influence on SSVEP Based BCI. ACII Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu
2013	B	`conf`	Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input. FUZZ-IEEE Jorge Guevara, Roberto Hirata, Stéphane Canu
2013	J	`jnl`	Multiple functional regression with both discrete and continuous covariates CoRR Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
2013	—	`conf`	Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
2012	J	`jnl`	A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing Xilan Tian, Gilles Gasso, Stéphane Canu
2012	—	`conf`	Apprentissage et Factorisation pour la Recommandation. AAFD Julien Delporte, Stéphane Canu, Alexandros Karatzoglou
2011	B	`conf`	A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN Xilan Tian, Gilles Gasso, Stéphane Canu
2011	J	`jnl`	Handling uncertainties in SVM classification CoRR Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu
2011	J	`jnl`	ell IEEE Trans. Neural Networks Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu
2010	A	`conf`	Nonlinear functional regression: a functional RKHS approach. AISTATS Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
2010	C	`conf`	Recent Advances in Kernel Machines. CIARP Stéphane Canu
2009	J	`jnl`	Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Trans. Signal Process. Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu
2008	B	`conf`	Regularization path for Ranking SVM. ESANN Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
2008	—	`conf`	Support Vector Machines with a Reject Option. NIPS Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu
2007	J	`jnl`	Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". J. Mach. Learn. Res. Gaëlle Loosli, Stéphane Canu
2007	B	`conf`	Computing and stopping the solution paths for $\nu$-SVR. ESANN Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2007	B	`conf`	Estimation of tangent planes for neighborhood graph correction. ESANN Karina Zapien Arreola, Gilles Gasso, Stéphane Canu
2007	A*	`conf`	More efficiency in multiple kernel learning. ICML Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
2007	—	`conf`	Regularization Paths for ISNN (3) Gaëlle Loosli, Gilles Gasso, Stéphane Canu
2007	—	`conf`	Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2007	C	`conf`	Sparsity regularization path for semi-supervised SVM. ICMLA Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2006	—	`conf`	Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications. ICASSP (3) Manuel Davy, Frédéric Desobry, Stéphane Canu
2006	J	`jnl`	Kernel Basis Pursuit. Rev. d'Intelligence Artif. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2006	J	`jnl`	Kernel methods and the exponential family. Neurocomputing Stéphane Canu, Alexander J. Smola
2006	J	`jnl`	Translation-invariant classification of non-stationary signals. Neurocomputing Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	—	`conf`	A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields. Web Intelligence Bruno Grilhères, Christophe Beauce, Stéphane Canu, Stephan Brunessaux
2005	J	`jnl`	Boîte à outils SVM simple et rapide. Rev. d'Intelligence Artif. Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay
2005	—	`conf`	Détection de contexte par l'apprentissage. CAP Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu
2005	J	`jnl`	Frames, Reproducing Kernels, Regularization and Learning. J. Mach. Learn. Res. Alain Rakotomamonjy, Stéphane Canu
2005	A*	`conf`	Heteroscedastic Gaussian process regression. ICML Quoc V. Le, Alexander J. Smola, Stéphane Canu
2005	—	`conf`	Kernel Basis Pursuit. CAP Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	—	`conf`	Kernel Basis Pursuit. ECML Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	B	`conf`	Kernel methods and the exponential family. ESANN Stéphane Canu, Alexander J. Smola
2005	—	`conf`	Rupture detection for context aware applications. ubiPCMM Gaëlle Loosli, Sang-Goog Lee, Stéphane Canu
2005	B	`conf`	Translation invariant classification of non-stationary signals. ESANN Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2004	J	`jnl`	Environmental data mining and modeling based on machine learning algorithms and geostatistics. Environ. Model. Softw. Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu
2004	A*	`conf`	Learning with non-positive kernels. ICML Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola
2003	—	`conf`	ADEMA: A Decision Support System for Asthma Health Care. MIE Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu
2003	J	`jnl`	Aide à la décision médicale Contribution pour la prise en charge de l'asthme. Ingénierie des Systèmes d Inf. Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu
2002	—	`conf`	Adaptive Scaling for Feature Selection in SVMs. NIPS Yves Grandvalet, Stéphane Canu
2002	J	`jnl`	Comparaison de stratégies de discrimination de masses de véhicules automobiles. Rev. d'Intelligence Artif. Alain Rakotomamonjy, Rodolphe Le Riche, David Gualandris, Stéphane Canu
2002	C	`conf`	Frame Kernels for Learning. ICANN Alain Rakotomamonjy, Stéphane Canu
2000	J	`jnl`	The long-term memory prediction by multiscale decomposition. Signal Process. Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu
1998	—	`conf`	Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS Yves Grandvalet, Stéphane Canu
1997	C	`conf`	Adaptive Noise Injection for Input Variables Relevance Determination. ICANN Yves Grandvalet, Stéphane Canu
1997	J	`jnl`	Noise Injection: Theoretical Prospects. Neural Comput. Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
1997	C	`conf`	Wavelet Frames Based Estimator. ICANN Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet
1995	J	`jnl`	Comments on "Noise injection into inputs in back propagation learning". IEEE Trans. Syst. Man Cybern. Yves Grandvalet, Stéphane Canu
1995	B	`conf`	Control of complexity in learning with perturbed inputs. ESANN Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
1993	Misc	`conf`	B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. IWANN Thibault Langlois, Stéphane Canu