Transfer learning on deep models for EEG classification in BCI IV 2a and 2b datasets yields 33% and 18% gains over prior top results while reducing required training data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Applying Transfer Learning To Deep Learned Models For EEG Analysis
Transfer learning on deep models for EEG classification in BCI IV 2a and 2b datasets yields 33% and 18% gains over prior top results while reducing required training data.