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

 Rachel Blin , Samia Ainouz , Stéphane Canu , Fabrice Meriaudeau
2019 IEEE Intelligent Transportation Systems Conference - ITSC, IEEE; Intel; Griffith Univ; Auckland Tourism Events & Econ Dev, Oct 2019, Auckland, New Zealand. pp.27-32, ⟨10.1109/ITSC.2019.8916853⟩
Communication dans un congrès hal-02564343v1
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L 1-norm double backpropagation adversarial defense

 Ismaïla Seck , Gaëlle Loosli , Stephane Canu
ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2019, Bruges, France
Communication dans un congrès hal-02049020v1
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Collecte, analyse et évaluation d'informations en sources ouvertes

 Yann Mombrun , Alexandre Pauchet , Bruno Grilhères , Stéphane Canu
Atelier COTA des 21es Journées francophones d'Ingénierie des Connaissances, Jun 2010, Nimes, France
Communication dans un congrès hal-00537156v1
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Nonlinear functional regression: a functional RKHS approach

 Hachem Kadri , Emmanuel Duflos , Philippe Preux , Stephane Canu , Manuel Davy
Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS'10), 2010, Italy. pp.374-380
Communication dans un congrès hal-00510411v1
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Machine learning for learner English

 Nicolas Ballier , Stéphane Canu , Caroline Petitjean , Gilles Gasso , Carlos Balhana , et al.
International Journal of Learner Corpus Research, 2020, 6 (1), pp.72-103. ⟨10.1075/ijlcr.18012.bal⟩
Article dans une revue hal-02496670v1
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Apprentissage de sphères maximales d’exclusion avec garanties théoriques

 Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Stéphane Canu , Elisa Fromont , et al.
Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France
Communication dans un congrès hal-01581550v1

SVM with a reject option

 Yves Grandvalet , Alain Rakotomamonjy , Joseph Keshet , Stephane Canu
NIPS, 2008, Canada. pp.1-8
Communication dans un congrès hal-00439487v1
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Une véritable approche L0 pour l'apprentissage de dictionnaire

 Yuan Liu , Stéphane Canu , Paul Honeine , Su Ruan
Actes du 26-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2017, Juan-Les-Pins, France
Communication dans un congrès hal-01965912v1
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ESTIMATION OF MINIMUM MEASURE SETS IN REPRODUCING KERNEL HILBERT SPACES AND APPLICATIONS.

 Manuel Davy , Frederic Desobry , Stephane Canu
IEEE ICASSP 2006, 2006, Toulouse, France
Communication dans un congrès inria-00119999v1
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Introduction to optimization with applications in astronomy and astrophysics

 Stephane Canu , Rémi Flamary , David Mary
2016
Pré-publication, Document de travail hal-01346134v1
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Handling uncertainties in SVM classification

 Emilie Niaf , Rémi Flamary , Carole Lartizien , Stéphane Canu
IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France
Communication dans un congrès hal-00582789v2

Procédé d'élaboration d'un discriminateur multiclasse

 Stephane Canu , Jérôme Fournier , Yves Grandvalet , Benjamin Labbé , Gaëlle Loosli , et al.
France, N° de brevet: FR2993381. 2015
Brevet hal-01593585v1

Adapted learning for polarization-based car detection

 Rachel Blin , Samia Ainouz , Stephane Canu , Fabrice Mériaudeau
14th International Conference on Quality Control by Artificial Vision, May 2019, Mulhouse, France. pp.98, ⟨10.1117/12.2523388⟩
Communication dans un congrès hal-02471097v1
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SimpleMKL

 Alain Rakotomamonjy , Francis Bach , Stephane Canu , Yves Grandvalet
Journal of Machine Learning Research, 2008, 9, pp.2491-2521
Article dans une revue hal-00218338v2

Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities

 Tongxue Zhou , Stéphane Canu , Pierre Vera , Su Ruan
IEEE Transactions on Image Processing, 2021, 30, pp.4263-4274. ⟨10.1109/TIP.2021.3070752⟩
Article dans une revue hal-03200795v1
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Fuzzy Set Similarity using a Distance-Based Kernel on Fuzzy Sets

 Jorge Guevara , Roberto Hirata , Stéphane Canu
2015
Pré-publication, Document de travail hal-01235834v2
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Functional learning through kernels

 Stephane Canu , Xavier Mary , Alain Rakotomamonjy
J. Suykens, G. Horvath, S. Basu, C. Micchelli, J. Vandewalle. Advances in Learning Theory: Methods, Models and Application, IOS Press, pp.89-110, 2003, NATO Science Series III: Computer and Systems Sciences, Vol. 190
Chapitre d'ouvrage hal-00422240v1
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Technical report : SVM in Krein spaces

 Gaëlle Loosli , Cheng Soon Ong , Stephane Canu
2013
Pré-publication, Document de travail hal-00869658v1
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Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM

 Léa Laporte , Rémi Flamary , Stephane Canu , Sébastien Dejean , Josiane Mothe
IEEE Transactions on Neural Networks and Learning Systems, 2013, vol. 25 (n° 6), pp.1118-1130. ⟨10.1109/TNNLS.2013.2286696⟩
Article dans une revue hal-01123818v3
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ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,

 Alain Rakotomamonjy , Remi Flamary , Gilles Gasso , Stéphane Canu
IEEE Transactions on Neural Networks, 2011, 22 (8), pp.1307-1320
Article dans une revue hal-00509608v1
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General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces

 Hachem Kadri , Emmanuel Duflos , Manuel Davy , Philippe Preux , Stephane Canu
[Research Report] RR-6908, INRIA. 2009
Rapport inria-00378381v1
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Kernel Functions in Takagi-Sugeno-Kang Fuzzy System with Nonsingleton Fuzzy Input

 Jorge Guevara , Roberto Hirata Jr , Stephane Canu
2013 IEEE International Conference on, Jul 2013, Hyderabad, India. pp.1-8, ⟨10.1109/FUZZ-IEEE.2013.6622409⟩
Communication dans un congrès hal-00788559v2

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

 Tongxue Zhou , Stéphane Canu , Pierre Vera , Su Ruan
25th. Int. Conf. ICPR, Jan 2021, Milan, Italy
Communication dans un congrès hal-03087220v1

Converting SVDD scores into probability estimates: Application to outlier detection

 M El Azami , Carole Lartizien , S. Canu
Neurocomputing, 2017, 268, pp.64 - 75. ⟨10.1016/j.neucom.2017.01.103⟩
Article dans une revue hal-01592016v1

Robust outlier detection with L0-SVDD

 M. El Azami , C. Lartizien , S. Canu
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2014, Apr 2014, Bruges, Belgium
Communication dans un congrès hal-00956468v1
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Multiple functional regression with both discrete and continuous covariates

 Hachem Kadri , Philippe Preux , Emmanuel Duflos , Stéphane Canu
2nd International Workshop on Functional and Operatorial Statistics (IWFOS), Jun 2011, Santander, Spain. pp.189-195
Communication dans un congrès hal-00772425v1
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Converting SVDD Scores into Probability Estimates

 M El Azami , Carole Lartizien , Stéphane Canu
24th European Symposium on Articial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium. pp.483-488
Communication dans un congrès hal-01438026v1
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Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling

 Quentin Debard , Christian Wolf , Stephane Canu , Julien Arné
FG'2018 - 13th IEEE International Conference on Automatic Face and Gesture Recognition, May 2018, Xi'An, China. pp.114-121, ⟨10.1109/FG.2018.00026⟩
Communication dans un congrès hal-02302545v1
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Recovering sparse signals with non-convex penalties and DC programming

 Gilles Gasso , Alain Rakotomamonjy , Stéphane Canu
2008
Pré-publication, Document de travail hal-00308841v1
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AIC, Cp and estimators of loss for elliptically symmetric distributions

 Aurélie Boisbunon , Stephane Canu , Dominique Fourdrinier , William Strawderman , Martin T. Wells
2013
Pré-publication, Document de travail hal-00851206v1
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