Before revision:  We evaluate our framework for seizure type classification and seizure detection on the recently released TUH EEG Seizure Corpus , where our framework achieves overall weighted f 1 scores of up to 0.90 and 0.88, thereby setting new benchmarks on the dataset.
After revision:  We evaluate our framework for seizure type classification and seizure detection on the recently released TUH EEGSeizure Corpus show that our multi-spectral dense featurelearning produces a weighted f1 score of 0.98 for seizure typeclassification setting new benchmarks on the dataset.