Classical BCI classifiers (CSP-LDA, MDRM) give better calibrated uncertainty than deep learning, which tends to be overconfident, but deep learning remains more accurate.
Un- certainty quantification for cross-subject motor imagery classification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
Classical BCI classifiers (CSP-LDA, MDRM) give better calibrated uncertainty than deep learning, which tends to be overconfident, but deep learning remains more accurate.