Florian Yger
Orcid: 0000-0002-7182-8062
According to our database1,
Florian Yger
authored at least 62 papers
between 2010 and 2024.
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Bibliography
2024
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks.
SN Comput. Sci., October, 2024
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
The edge-preservation similarity for comparing rooted, unordered, node-labeled trees.
Pattern Recognit. Lett., March, 2023
Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms.
Proceedings of the Computer Analysis of Images and Patterns, 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Riemannian geometry for combining functional connectivity metrics and covariance in BCI.
Softw. Impacts, 2022
Mach. Learn., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version].
CoRR, 2021
Approximation of dilation-based spatial relations to add structural constraints in neural networks.
CoRR, 2021
Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity.
CoRR, 2021
Proceedings of the Similarity Search and Applications - 14th International Conference, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
CoRR, 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Geodesically-convex optimization for averaging partially observed covariance matrices.
Proceedings of The 12th Asian Conference on Machine Learning, 2020
2019
CoRR, 2019
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Geometry-aware principal component analysis for symmetric positive definite matrices.
Mach. Learn., 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2nd International Workshop on coMics Analysis, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Pattern Recognit. Lett., 2015
CoRR, 2015
Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
CoRR, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures.
Rev. d'Intelligence Artif., 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010