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eess.SP2024
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
Antoine Collas, Rémi Flamary, Alexandre Gramfort
This paper introduces a novel domain adaptation technique for time series data, called Mixing model Stiefel Adaptation (MSA), specifically addressing the challenge of limited label…
eess.SP2023
Convolutional Monge Mapping Normalization for learning on sleep data
Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
In many machine learning applications on signals and biomedical data, especially electroencephalogram (EEG), one major challenge is the variability of the data across subjects, ses…