2 papers
eess.SP2024
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models
Martyna Poziomska, Marian Dovgialo, Przemysław Olbratowski +5
This study investigates the impact of quantity and diversity of data on the performance of various machine-learning models for detecting general EEG pathology. We utilized an EEG d…
cs.LG2019
Labeler-hot Detection of EEG Epileptic Transients
Lukasz Czekaj, Wojciech Ziembla, Pawel Jezierski +6
Preventing early progression of epilepsy and so the severity of seizures requires an effective diagnosis. Epileptic transients indicate the ability to develop seizures but humans o…