Stéphane Canu

According to our database, Stéphane Canu authored at least 109 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint.

Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Linear Modeling of the Adversarial Noise Space.

Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

A Physically Admissible Stokes Vector Reconstruction in Linear Polarimetric Imaging.

Carole Le Guyader, Samia Ainouz, Stéphane Canu

J. Math. Imaging Vis., August, 2023

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning.

Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

The PolarLITIS Dataset: Road Scenes Under Fog.

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

IEEE Trans. Intell. Transp. Syst., 2022

Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation.

Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan

Pattern Recognit. Lett., 2022

A Tri-Attention fusion guided multi-modal segmentation network.

Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu

Pattern Recognit., 2022

Physically-admissible polarimetric data augmentation for road-scene analysis.

Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu

Comput. Vis. Image Underst., 2022

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification.

Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu

Comput. Vis. Image Underst., 2022

Road Scene Analysis: A Study of Polarimetric and Color-based Features under Various Adverse Weather Conditions.

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.

Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan

IEEE Trans. Image Process., 2021

Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice.

Ruobing Shen, Bo Tang, Leo Liberti, Claudia D'Ambrosio, Stéphane Canu

J. Glob. Optim., 2021

Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism.

Tongxue Zhou, Stéphane Canu, Su Ruan

Int. J. Imaging Syst. Technol., 2021

Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities.

Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan

Neurocomputing, 2021

Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach.

Amirhossein Rahbari, Marc Rébillat, Nazih Mechbal, Stéphane Canu

Eng. Appl. Artif. Intell., 2021

Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19.

Yi-Shuai Niu, Wentao Ding, Junpeng Hu, Wenxu Xu, Stéphane Canu

CoRR, 2021

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters.

Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu

IEEE Access, 2021

A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation.

Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

Linear Program Powered Attack.

Ismaïla Seck, Gaëlle Loosli, Stéphane Canu

Proceedings of the International Joint Conference on Neural Networks, 2021

Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions.

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian.

Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan

Digit. Signal Process., 2020

An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism.

Tongxue Zhou, Stéphane Canu, Su Ruan

CoRR, 2020

Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation.

Tongxue Zhou, Stéphane Canu, Su Ruan

Comput. Medical Imaging Graph., 2020

Temporal Contrastive Pretraining for Video Action Recognition.

Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stéphane Canu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

ℓ ₁ Regularized Robust and Sparse Linear Modeling Using Discrete Optimization.

Mahdi Jammal, Stéphane Canu, Maher Abdallah

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Robust and Sparse Support Vector Machines via Mixed Integer Programming.

Mahdi Jammal, Stéphane Canu, Maher Abdallah

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation.

Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation.

Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint.

Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling.

Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A new multimodal RGB and polarimetric image dataset for road scenes analysis.

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Mixed Integer Programming For Sparse Coding: Application to Image Denoising.

Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan

IEEE Trans. Computational Imaging, 2019

Doc2Vec on the PubMed corpus: study of a new approach to generate related articles.

Emeric Dynomant, Stéfan Jacques Darmoni, Émeline Lejeune, Gaétan Kerdelhué, Jean-Philippe Leroy, Vincent Lequertier, Stéphane Canu, Julien Grosjean

CoRR, 2019

Kernels on fuzzy sets: an overview.

Jorge Guevara, Roberto Hirata Jr., Stéphane Canu

CoRR, 2019

L 1-norm double backpropagation adversarial defense.

Ismaïla Seck, Gaëlle Loosli, Stéphane Canu

CoRR, 2019

A review: Deep learning for medical image segmentation using multi-modality fusion.

Tongxue Zhou, Su Ruan, Stéphane Canu

Array, 2019

Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning.

Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI.

Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Word Embedding for French Natural Language in Healthcare: A Comparative Study.

Emeric Dynomant, Romain Lelong, Badisse Dahamna, Clément Massonnaud, Gaétan Kerdelhué, Julien Grosjean, Stéphane Canu, Stéfan Jacques Darmoni

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning.

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

L1-norm double backpropagation adversarial defense.

Ismaïla Seck, Gaëlle Loosli, Stéphane Canu

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

K-SVD with a Real ℓ0 Optimization: Application to Image Denoising.

Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling.

Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

Unbiased risk estimates for matrix estimation in the elliptical case.

Stéphane Canu, Dominique Fourdrinier

J. Multivar. Anal., 2017

Converting SVDD scores into probability estimates: Application to outlier detection.

Meriem El Azami, Carole Lartizien, Stéphane Canu

Neurocomputing, 2017

A First Derivative Potts Model for Segmentation and Denoising Using MILP.

Ruobing Shen, Gerhard Reinelt, Stéphane Canu

CoRR, 2017

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire.

Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan

CoRR, 2017

Machine Learning, deep learning and optimization in computer vision.

Stéphane Canu

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

A First Derivative Potts Model for Segmentation and Denoising Using ILP.

Ruobing Shen, Gerhard Reinelt, Stéphane Canu

Proceedings of the Operations Research Proceedings 2017, 2017

Cross product kernels for fuzzy set similarity.

Jorge Guevara, Roberto Hirata, Stéphane Canu

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Learning SVM in Kreĭn Spaces.

Gaëlle Loosli, Stéphane Canu, Cheng Soon Ong

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Operator-valued Kernels for Learning from Functional Response Data.

Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren

J. Mach. Learn. Res., 2016

Kernel Approximations for W-Operator Learning.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

NILC: A two level learning algorithm with operator selection.

Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Converting SVDD scores into probability estimates.

Meriem El Azami, Carole Lartizien, Stéphane Canu

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM.

Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe

CoRR, 2015

Optimal transport for semi-supervised domain adaptation.

Denis Rousselle, Stéphane Canu

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM.

Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe

IEEE Trans. Neural Networks Learn. Syst., 2014

Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging.

Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu

IEEE Trans. Image Process., 2014

Positive definite kernel functions on fuzzy sets.

Jorge Guevara, Roberto Hirata, Stéphane Canu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A robust regularization path for the Doubly Regularized Support Vector Machine.

Antoine Lachaud, Stéphane Canu, David Mercier, Frédéric Suard

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Robust outlier detection with L0-SVDD.

Meriem El Azami, Carole Lartizien, Stéphane Canu

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Multiple functional regression with both discrete and continuous covariates

Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu

CoRR, 2013

Socially Enabled Preference Learning from Implicit Feedback Data.

Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input.

Jorge Guevara, Roberto Hirata, Stéphane Canu

Proceedings of the FUZZ-IEEE 2013, 2013

Detection and quantification in real-time polymerase chain reaction.

Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Emotional Influence on SSVEP Based BCI.

Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

A multiple kernel framework for inductive semi-supervised SVM learning.

Xilan Tian, Gilles Gasso, Stéphane Canu

Neurocomputing, 2012

Apprentissage et Factorisation pour la Recommandation.

Julien Delporte, Stéphane Canu, Alexandros Karatzoglou

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2012

2011

ell_p-ell_q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu

IEEE Trans. Neural Networks, 2011

Handling uncertainties in SVM classification

Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu

CoRR, 2011

A Multi-kernel Framework for Inductive Semi-supervised Learning.

Xilan Tian, Gilles Gasso, Stéphane Canu

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Nonlinear functional regression: a functional RKHS approach.

Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Recent Advances in Kernel Machines.

Stéphane Canu

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009

Recovering sparse signals with a certain family of nonconvex penalties and DC programming.

Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu

IEEE Trans. Signal Process., 2009

2008

Support Vector Machines with a Reject Option.

Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Regularization path for Ranking SVM.

Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets".

Gaëlle Loosli, Stéphane Canu

J. Mach. Learn. Res., 2007

Smoothness and sparsity tuning for Semi-Supervised SVM.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the Mining Massive Data Sets for Security, 2007

Regularization Paths for <i>nu</i> -SVM and <i>nu</i> -SVR.

Gaëlle Loosli, Gilles Gasso, Stéphane Canu

Proceedings of the Advances in Neural Networks, 2007

Sparsity regularization path for semi-supervised SVM.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

More efficiency in multiple kernel learning.

Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

Proceedings of the Machine Learning, 2007

Computing and stopping the solution paths for $\nu$-SVR.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Estimation of tangent planes for neighborhood graph correction.

Karina Zapien Arreola, Gilles Gasso, Stéphane Canu

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Kernel Basis Pursuit.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Rev. d'Intelligence Artif., 2006

Translation-invariant classification of non-stationary signals.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Neurocomputing, 2006

Kernel methods and the exponential family.

Stéphane Canu, Alexander J. Smola

Neurocomputing, 2006

Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications.

Manuel Davy, Frédéric Desobry, Stéphane Canu

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Boîte à outils SVM simple et rapide.

Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay

Rev. d'Intelligence Artif., 2005

Frames, Reproducing Kernels, Regularization and Learning.

Alain Rakotomamonjy, Stéphane Canu

J. Mach. Learn. Res., 2005

A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields.

Bruno Grilhères, Christophe Beauce, Stéphane Canu, Stephan Brunessaux

Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Rupture detection for context aware applications.

Gaëlle Loosli, Sang-Goog Lee, Stéphane Canu

Proceedings of the First Internaltional Workshop on Personalized Context Modeling and Management for UbiComp Applications, 2005

Heteroscedastic Gaussian process regression.

Quoc V. Le, Alexander J. Smola, Stéphane Canu

Proceedings of the Machine Learning, 2005

Détection de contexte par l'apprentissage.

Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu

Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004

Environmental data mining and modeling based on machine learning algorithms and geostatistics.

Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu

Environ. Model. Softw., 2004

Learning with non-positive kernels.

Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola

Proceedings of the Machine Learning, 2004

2003

Aide à la décision médicale Contribution pour la prise en charge de l'asthme.

Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu

Ingénierie des Systèmes d Inf., 2003

ADEMA: A Decision Support System for Asthma Health Care.

Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu

Proceedings of the New Navigators: from Professionals to Patients, 2003

2002

Comparaison de stratégies de discrimination de masses de véhicules automobiles.

Alain Rakotomamonjy, Rodolphe Le Riche, David Gualandris, Stéphane Canu

Rev. d'Intelligence Artif., 2002

Adaptive Scaling for Feature Selection in SVMs.

Yves Grandvalet, Stéphane Canu

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Frame Kernels for Learning.

Alain Rakotomamonjy, Stéphane Canu

Proceedings of the Artificial Neural Networks, 2002

2000

The long-term memory prediction by multiscale decomposition.

Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu

Signal Process., 2000

1998

Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage.

Yves Grandvalet, Stéphane Canu

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Noise Injection: Theoretical Prospects.

Yves Grandvalet, Stéphane Canu, Stéphane Boucheron

Neural Comput., 1997

Wavelet Frames Based Estimator.

Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet

Proceedings of the Artificial Neural Networks, 1997

Adaptive Noise Injection for Input Variables Relevance Determination.

Yves Grandvalet, Stéphane Canu

Proceedings of the Artificial Neural Networks, 1997

1995

Comments on "Noise injection into inputs in back propagation learning".

Yves Grandvalet, Stéphane Canu

IEEE Trans. Syst. Man Cybern., 1995

Control of complexity in learning with perturbed inputs.

Yves Grandvalet, Stéphane Canu, Stéphane Boucheron

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1993

B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming.

Thibault Langlois, Stéphane Canu

Proceedings of the New Trends in Neural Computation, 1993