Stéphane Canu

Orcid: 0000-0002-7602-4557

According to our database1, Stéphane Canu authored at least 107 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Physically Admissible Stokes Vector Reconstruction in Linear Polarimetric Imaging.
J. Math. Imaging Vis., August, 2023

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
The PolarLITIS Dataset: Road Scenes Under Fog.
IEEE Trans. Intell. Transp. Syst., 2022

Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation.
Pattern Recognit. Lett., 2022

A Tri-Attention fusion guided multi-modal segmentation network.
Pattern Recognit., 2022

Physically-admissible polarimetric data augmentation for road-scene analysis.
Comput. Vis. Image Underst., 2022

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification.
Comput. Vis. Image Underst., 2022

Road Scene Analysis: A Study of Polarimetric and Color-based Features under Various Adverse Weather Conditions.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
IEEE Trans. Image Process., 2021

Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice.
J. Glob. Optim., 2021

Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism.
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.
Neurocomputing, 2021

Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach.
Eng. Appl. Artif. Intell., 2021

Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19.
CoRR, 2021

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters.
IEEE Access, 2021

A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

Linear Program Powered Attack.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian.
Digit. Signal Process., 2020

An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism.
CoRR, 2020

Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation.
Comput. Medical Imaging Graph., 2020

Temporal Contrastive Pretraining for Video Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

ℓ <sub>1</sub> Regularized Robust and Sparse Linear Modeling Using Discrete Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Robust and Sparse Support Vector Machines via Mixed Integer Programming.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A new multimodal RGB and polarimetric image dataset for road scenes analysis.
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.
IEEE Trans. Computational Imaging, 2019

Doc2Vec on the PubMed corpus: study of a new approach to generate related articles.
CoRR, 2019

Kernels on fuzzy sets: an overview.
CoRR, 2019

L 1-norm double backpropagation adversarial defense.
CoRR, 2019

A review: Deep learning for medical image segmentation using multi-modality fusion.
Array, 2019

Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning.
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.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Word Embedding for French Natural Language in Healthcare: A Comparative Study.
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.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

L1-norm double backpropagation adversarial defense.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising.
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.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Unbiased risk estimates for matrix estimation in the elliptical case.
J. Multivar. Anal., 2017

Converting SVDD scores into probability estimates: Application to outlier detection.
Neurocomputing, 2017

A First Derivative Potts Model for Segmentation and Denoising Using MILP.
CoRR, 2017

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire.
CoRR, 2017

Machine Learning, deep learning and optimization in computer vision.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

A First Derivative Potts Model for Segmentation and Denoising Using ILP.
Proceedings of the Operations Research Proceedings 2017, 2017

Cross product kernels for fuzzy set similarity.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Learning SVM in Kreĭn Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Operator-valued Kernels for Learning from Functional Response Data.
J. Mach. Learn. Res., 2016

Kernel Approximations for W-Operator Learning.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

NILC: A two level learning algorithm with operator selection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Converting SVDD scores into probability estimates.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM.
CoRR, 2015

Optimal transport for semi-supervised domain adaptation.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM.
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.
IEEE Trans. Image Process., 2014

Positive definite kernel functions on fuzzy sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A robust regularization path for the Doubly Regularized Support Vector Machine.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Robust outlier detection with L0-SVDD.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Multiple functional regression with both discrete and continuous covariates
CoRR, 2013

Socially Enabled Preference Learning from Implicit Feedback Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input.
Proceedings of the FUZZ-IEEE 2013, 2013

Detection and quantification in real-time polymerase chain reaction.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Emotional Influence on SSVEP Based BCI.
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.
Neurocomputing, 2012

Apprentissage et Factorisation pour la Recommandation.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2012

2011
ell<sub>p</sub>-ell<sub>q</sub> Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.
IEEE Trans. Neural Networks, 2011

Handling uncertainties in SVM classification
CoRR, 2011

A Multi-kernel Framework for Inductive Semi-supervised Learning.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Nonlinear functional regression: a functional RKHS approach.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Recent Advances in Kernel Machines.
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.
IEEE Trans. Signal Process., 2009

2008
Support Vector Machines with a Reject Option.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Regularization path for Ranking SVM.
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".
J. Mach. Learn. Res., 2007

Smoothness and sparsity tuning for Semi-Supervised SVM.
Proceedings of the Mining Massive Data Sets for Security, 2007

Regularization Paths for <i>nu</i> -SVM and <i>nu</i> -SVR.
Proceedings of the Advances in Neural Networks, 2007

Sparsity regularization path for semi-supervised SVM.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

More efficiency in multiple kernel learning.
Proceedings of the Machine Learning, 2007

Computing and stopping the solution paths for $\nu$-SVR.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Estimation of tangent planes for neighborhood graph correction.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Kernel Basis Pursuit.
Rev. d'Intelligence Artif., 2006

Translation-invariant classification of non-stationary signals.
Neurocomputing, 2006

Kernel methods and the exponential family.
Neurocomputing, 2006

Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Boîte à outils SVM simple et rapide.
Rev. d'Intelligence Artif., 2005

Frames, Reproducing Kernels, Regularization and Learning.
J. Mach. Learn. Res., 2005

A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Rupture detection for context aware applications.
Proceedings of the First Internaltional Workshop on Personalized Context Modeling and Management for UbiComp Applications, 2005

Heteroscedastic Gaussian process regression.
Proceedings of the Machine Learning, 2005

Détection de contexte par l'apprentissage.
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.
Environ. Model. Softw., 2004

Learning with non-positive kernels.
Proceedings of the Machine Learning, 2004

2003
Aide à la décision médicale Contribution pour la prise en charge de l'asthme.
Ingénierie des Systèmes d Inf., 2003

ADEMA: A Decision Support System for Asthma Health Care.
Proceedings of the New Navigators: from Professionals to Patients, 2003

2002
Comparaison de stratégies de discrimination de masses de véhicules automobiles.
Rev. d'Intelligence Artif., 2002

Adaptive Scaling for Feature Selection in SVMs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Frame Kernels for Learning.
Proceedings of the Artificial Neural Networks, 2002

2000
The long-term memory prediction by multiscale decomposition.
Signal Process., 2000

1998
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Noise Injection: Theoretical Prospects.
Neural Comput., 1997

Wavelet Frames Based Estimator.
Proceedings of the Artificial Neural Networks, 1997

Adaptive Noise Injection for Input Variables Relevance Determination.
Proceedings of the Artificial Neural Networks, 1997

1995
Comments on "Noise injection into inputs in back propagation learning".
IEEE Trans. Syst. Man Cybern., 1995

Control of complexity in learning with perturbed inputs.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1993
B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming.
Proceedings of the New Trends in Neural Computation, 1993


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