2 papers
eess.SP2024
Transferring BCI models from calibration to control: Observing shifts in EEG features
Ivo Pascal de Jong, Lüke Luna van den Wittenboer, Matias Valdenegro-Toro +1
Public Motor Imagery-based brain-computer interface (BCI) datasets are being used to develop increasingly good classifiers. However, they usually follow discrete paradigms where pa…
cs.LG2024
Uncertainty Quantification for cross-subject Motor Imagery classification
Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro +1
Uncertainty Quantification aims to determine when the prediction from a Machine Learning model is likely to be wrong. Computer Vision research has explored methods for determining…