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	Pour les 51 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Theoretical evidence for adversarial robustness through randomization Rafael Pinot , Laurent Meunier , Alexandre Araujo , Hisashi Kashima , Florian Yger , et al. 33rd Conference on Neural Information Processing Systems (NIPS 2019), Dec 2019, Vancouver, Canada Communication dans un congrès hal-02892188v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Le Réseau U-Net Exploite-t-il des Relations Directionnelles Entre Objets pour les Segmenter et les Reconnaître ? Mateus Riva , Pietro Gori , Florian Yger , Isabelle Bloch 28e Colloque sur le Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France Communication dans un congrès hal-03923736v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Challenges in anomaly and change point detection Madalina Olteanu , Fabrice Rossi , Florian Yger 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Oct 2022, Bruges, Belgium Communication dans un congrès hal-03911394v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Learning with infinitely many features Alain Rakotomamonjy , Rémi Flamary , Florian Yger Machine Learning, 2012 Article dans une revue hal-00735926v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Geometry-aware principal component analysis for symmetric positive definite matrices Inbal Horev , Florian Yger , Masashi Sugiyama Machine Learning, 2016, ⟨10.1007/s10994-016-5605-5⟩ Article dans une revue hal-01484571v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Uplift Modeling from Separate Labels Ikko Yamane , Florian Yger , Jamal Atif , Masashi Sugiyama NeurIPS, Dec 2018, Montréal, Canada Communication dans un congrès hal-02010052v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Geodesically-convex optimization for averaging partially observed covariance matrices Florian Yger , Sylvain Chevallier , Quentin Barthélemy , Suvrit Sra Asian Conference on Machine Learning (ACML), Nov 2020, Bangkok, Thailand. pp.417 - 432 Communication dans un congrès hal-02984423v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		IS THE U-NET DIRECTIONAL-RELATIONSHIP AWARE? Mateus Riva , Pietro Gori , Florian Yger , Isabelle Bloch International Conference on Image Processing, Oct 2022, Bordeaux, France Communication dans un congrès hal-03715361v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Explainability for regression CNN in fetal head circumference estimation from ultrasound images Jing Zhang , Caroline Petitjean , Florian Yger , Samia Ainouz Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, Oct 2020, Lima, Peru. pp.73-82, ⟨10.1007/978-3-030-61166-8_8⟩ Communication dans un congrès hal-02960164v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections Lucas Gnecco , Nicolas Boria , Sébastien Bougleux , Florian Yger , David Blumenthal International Conference on Similarity Search and Applications, Sep 2021, Dortmun, Germany. pp.337-351, ⟨10.1007/978-3-030-89657-7_25⟩ Communication dans un congrès hal-03777231v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Averaging Covariance Matrices for EEG Signal Classification based on the CSP: an Empirical Study Florian Yger , Fabien Lotte , Masashi Sugiyama EUSIPCO 2015, Aug 2015, Nice, France Communication dans un congrès hal-01182728v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Graph-based Clustering under Differential Privacy Rafael Pinot , Anne Morvan , Florian Yger , Cedric Gouy-Pailler , Jamal Atif Uncertainty in Artificial Intelligence (UAI 2018), Aug 2018, Monterley, California, United States. pp.132 Communication dans un congrès hal-02010071v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators Sylvain Chevallier , Marie-Constance Corsi , Florian Yger , Camille Noûs IROS Workshop on Bringing geometric methods to robot learning, optimization and control, Oct 2020, Las Vegas, NV / Virtual, United States Communication dans un congrès hal-03015390v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Query-based learning of acyclic conditional preference networks from contradictory preferences Fabien Labernia , Florian Yger , Brice Mayag , Jamal Atif EURO journal on decision processes, 2018, 6 (1-2), pp.39-59. ⟨10.1007/s40070-017-0070-3⟩ Article dans une revue hal-02918275v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Riemannian classification for SSVEP based BCI: offline versus online implementations Sylvain Chevallier , Emmanuel Kalunga , Quentin Barthélemy , Florian Yger Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018 Chapitre d'ouvrage hal-01710089v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Subspace oddity - optimization on product of Stiefel manifolds for EEG data Maria Sayu Yamamoto , Florian Yger , Sylvain Chevallier ICASSP, Jun 2021, Toronto, Canada Communication dans un congrès hal-03202357v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Riemannian approaches in Brain-Computer Interfaces: a review Florian Yger , Maxime Berar , Fabien Lotte IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017 Article dans une revue hal-01394253v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent Nicolas Boria , Benjamin Negrevergne , Florian Yger ESANN 2020, 2020, Bruges, France Communication dans un congrès hal-02895832v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update Fabien Lotte , Laurent Bougrain , Andrzej Cichocki , Maureen Clerc , Marco Congedo , et al. Journal of Neural Engineering, 2018, 15 (3), pp.55. ⟨10.1088/1741-2552/aab2f2⟩ Article dans une revue hal-01846433v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces Nisrine Jrad , Marco Congedo , Ronald Phlypo , Sandra Rousseau , Rémi Flamary , et al. Journal of Neural Engineering, 2011, 8 (5), pp.056004. ⟨10.1088/1741-2560/8/5/056004⟩ Article dans une revue hal-00617810v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multi-Country. The Regulation of Commercial Profiling – A Comparative Analysis Indra Spiecker Döhmann , Olivia Tambou , Paul Bernal , Margaret Hu , Carlos Alberto Molinaro , et al. European Data Protection Law Review, 2016, 2 (4), pp.535-554. ⟨10.21552/EDPL/2016/4/12⟩ Article dans une revue hal-01522818v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Metric Learning Approach to Graph Edit Costs for Regression Linlin Jia , Benoit Gaüzère , Florian Yger , Paul Honeine Proceedings of IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020), Jan 2021, Venise, Italy. ⟨10.1007/978-3-030-73973-7_23⟩ Communication dans un congrès hal-03128664v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIs Maria Sayu Yamamoto , Fabien Lotte , Florian Yger , Sylvain Chevallier CORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France Poster de conférence hal-03931339v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces Satyam Kumar , Florian Yger , Fabien Lotte BCI 2019 - IEEE International Winter Conference on Brain-Computer Interfaces, Feb 2019, Jeonseong, South Korea Communication dans un congrès hal-01924646v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Online learning of acyclic conditional preference networks from noisy data Fabien Labernia , Bruno Zanuttini , Brice Mayag , Florian Yger , Jamal Atif ICDM 2017, 2017, New Orleans, États-Unis. ⟨10.1109/ICDM.2017.34⟩ Communication dans un congrès hal-02074110v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Query-based learning of acyclic conditional preference networks from noisy data Fabien Labernia , Florian Yger , Brice Mayag , Jamal Atif EURO Mini Conference: "From Multiple Criteria Decision Aid to Preference Learning" (DA2PL'2016), Nov 2016, Paderborn, Germany. pp.6 Communication dans un congrès hal-01461579v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Wavelet Kernel Learning Florian Yger , Alain Rakotomamonjy 2010 Pré-publication, Document de travail hal-00510484v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A supervised strategy for deep kernel machine Florian Yger , Maxime Berar , Gilles Gasso , Alain Rakotomamonjy European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2011, Bruges, Belgium. pp.501-506 Communication dans un congrès hal-00668302v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Selecting from an infinite set of features in SVM Rémi Flamary , Florian Yger , Alain Rakotomamonjy European Symposium on Artificial Neural Networks, Apr 2011, Bruges, Belgium Communication dans un congrès hal-00626168v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Uplift Modeling from Separate Labels Ikko Yamane , Florian Yger , Jamal Atif , Masashi Sugiyama 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Dec 2018, Montréal, Canada. pp.9927--9937 Communication dans un congrès hal-02170693v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Theoretical evidence for adversarial robustness through randomization

Le Réseau U-Net Exploite-t-il des Relations Directionnelles Entre Objets pour les Segmenter et les Reconnaître ?

Challenges in anomaly and change point detection

Learning with infinitely many features

Geometry-aware principal component analysis for symmetric positive definite matrices

Uplift Modeling from Separate Labels

Geodesically-convex optimization for averaging partially observed covariance matrices

IS THE U-NET DIRECTIONAL-RELATIONSHIP AWARE?

Explainability for regression CNN in fetal head circumference estimation from ultrasound images

The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections

Averaging Covariance Matrices for EEG Signal Classification based on the CSP: an Empirical Study

Graph-based Clustering under Differential Privacy

Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators

Query-based learning of acyclic conditional preference networks from contradictory preferences

Riemannian classification for SSVEP based BCI: offline versus online implementations

Subspace oddity - optimization on product of Stiefel manifolds for EEG data

Riemannian approaches in Brain-Computer Interfaces: a review

Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent

A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces

Multi-Country. The Regulation of Commercial Profiling – A Comparative Analysis

A Metric Learning Approach to Graph Edit Costs for Regression

User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIs

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Online learning of acyclic conditional preference networks from noisy data

Query-based learning of acyclic conditional preference networks from noisy data

Wavelet Kernel Learning

A supervised strategy for deep kernel machine

Selecting from an infinite set of features in SVM

Uplift Modeling from Separate Labels