Geodesic optimization for predictive shift adaptation on EEG data
2024, Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis Engemann
Publications
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
2024, 32nd European Signal Processing Conference (EUSIPCO)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis Engemann, Alexandre Gramfort
Novel SPD matrix representations considering cross-frequency coupling for EEG classification using Riemannian geometry
2023, 31st European Signal Processing Conference (EUSIPCO)
Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling
2023, Imaging Neuroscience MIT Press
Apolline Mellot, Antoine Collas, Pedro L. C. Rodrigues, Denis Engemann, Alexandre Gramfort
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
2022, NeuroImage
Denis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort