Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement.
Affective state recognition from EEG with deep belief networks
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods
Convolutional deep belief networks for feature extraction of EEG signal
Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection