Apolline Mellot

Geodesic Optimization for Predictive Shift Adaptation on EEG data

Electroencephalography (EEG) data is often collected from diverse contexts involving different populations and EEG devices. This variability can induce distribution shifts in the data $X$ and in the biomedical variables of interest $y$, thus limiting the application of supervised machine learning (M…