37 citations · 56 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
Purpose: Uncertainty Quantification (UQ) has gained traction in an attempt to improve the interpretability and robustness of machine learning predictions. Specifically (medical) bi…
HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithm
Reinmar J. Kobler, Andreea I. Sburlea, Valeria Mondini +1
A high fraction of artifact-free signals is highly desirable in functional neuroimaging and brain-computer interfacing (BCI). We present the high-variance electrode artifact remova…