M. Toma

Channel reduction in AdaBoost ensemble models for energy-efficient ambulatory seizure detection

Analysis of a feature reduction strategy for a 100-tree AdaBoost ensemble model applied to binary seizure detection using the Bangalore EEG Epilepsy Dataset shows that strategic channel reduction based on feature importance analysis can improve computational efficiency while maintaining comparable seizure detection per...