| A reusable benchmark of brain-age prediction from M/EEG resting-state signals DA Engemann, A Mellot, R Höchenberger, H Banville, D Sabbagh, ... Neuroimage 262, 119521, 2022 | 49 | 2022 |
| Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling A Mellot, A Collas, PLC Rodrigues, DA Engemann, A Gramfort Imaging Neuroscience, 2023.04. 27.538550, 2023 | 4 | 2023 |
| Novel SPD matrix representations considering cross-frequency coupling for EEG classification using Riemannian geometry MS Yamamoto, A Mellot, S Chevallier, F Lotte 2023 31st European Signal Processing Conference (EUSIPCO), 960-964, 2023 | 2 | 2023 |
| Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets A Mellot, A Collas, S Chevallier, D Engemann, A Gramfort arXiv preprint arXiv:2403.15415, 2024 | 1 | 2024 |
| Geodesic Optimization for Predictive Shift Adaptation on EEG data A Mellot, A Collas, S Chevallier, A Gramfort, DA Engemann arXiv preprint arXiv:2407.03878, 2024 | | 2024 |
| scikit-adaptation/skada T Gnassounou, O Kachaiev, R Flamary, A Collas, Y Lalou, A de Mathelin, ... | | 2024 |
