Embedding neurophysiological signals P Guetschel, T Papadopoulo, M Tangermann 2022 IEEE International Conference on Metrology for Extended Reality …, 2022 | 1 | 2022 |
Approximate UMAP allows for high-rate online visualization of high-dimensional data streams P Wassenaar, P Guetschel, M Tangermann arXiv preprint arXiv:2404.04001, 2024 | | 2024 |
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark S Chevallier, I Carrara, B Aristimunha, P Guetschel, S Sedlar, B Lopes, ... arXiv preprint arXiv:2404.15319, 2024 | | 2024 |
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models G Klein, P Guetschel, G Silvestri, M Tangermann arXiv preprint arXiv:2403.18486, 2024 | | 2024 |
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention P Guetschel, T Moreau, M Tangermann arXiv preprint arXiv:2403.11772, 2024 | | 2024 |
Transfer Learning between Motor Imagery Datasets using Deep Learning--Validation of Framework and Comparison of Datasets P Guetschel, M Tangermann arXiv preprint arXiv:2311.16109, 2023 | | 2023 |
An embedding for EEG signals learned using a triplet loss P Guetschel, T Papadopoulo, M Tangermann arXiv preprint arXiv:2304.06495, 2023 | | 2023 |
Tools for convulsive seizures and interictal spikes detection D Diaz-Arce, A Ghouma, P Guetschel, T Papadopoulo, M Mantegazza, ... Congrès Labex ICST, 2021 | | 2021 |
EEG signal analysis for epileptic seizure genesis study P Guetschel, T Papadopoulo, F Duprat Soph. IA, 2020 | | 2020 |