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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
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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

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
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Learning with infinitely many features

 Alain Rakotomamonjy , Rémi Flamary , Florian Yger
Machine Learning, 2012
Article dans une revue hal-00735926v1
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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
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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
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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

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

Uplift Modeling from Separate Labels

 Ikko Yamane , Florian Yger , Jamal Atif , Masashi Sugiyama
NeurIPS, Dec 2018, Montréal, Canada
Communication dans un congrès hal-02010052v1
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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
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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

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
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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
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Dimensionality Reduction and Frequency Bin Optimization To Improve a Riemannian-based Classification Pipeline

 Rune Frateur , Sylvain Chevallier , Florian Yger , Marie-Constance Corsi
CORTICO 2023 - Journées COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, May 2023, Paris, France.
Poster de conférence hal-04140107v1
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A unified view on differential privacy and robustness to adversarial examples

 Rafael Pinot , Florian Yger , Cedric Gouy-Pailler , Jamal Atif
Workshop on Machine Learning for CyberSecurity at ECMLPKDD 2019, Sep 2019, Wurzburg, Germany
Communication dans un congrès hal-02892170v1

Multitask Principal Component Analysis

 Ikko Yamane , Florian Yger , Maxime Berar , Masashi Sugiyama
8th Asian Conference on Machine Learning (ACML 2016), Nov 2016, Hamilton, New Zealand. pp.302-317
Communication dans un congrès hal-01447945v1
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Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation

 Marie-Constance Corsi , Sylvain Chevallier , Quentin Barthélemy , Isabelle Hoxha , Florian Yger
Neuroergonomics conference 2021, Sep 2021, Virtual event, Germany
Communication dans un congrès hal-03359257v1
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Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality

 Ikko Yamane , Yann Chevaleyre , Takashi Ishida , Florian Yger
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023, Valencia, Spain
Communication dans un congrès hal-04218995v1

Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity

 Marie-Constance Corsi , Florian Yger , Sylvain Chevallier , Camille Noûs
[Technical Report] ARAMIS, LAMSADE, LISV. 2021
Rapport hal-03139990v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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

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
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