R. Rocamora

Countering Neural Activity Drift: Sustained Long-term Seizure Prediction Using an Evolutionary Machine-Learning Framework on Continuous Intracranial EEG

Objective: Seizure prediction in drug-resistant epilepsy remains a major biomedical challenge. Traditional machine learning approaches rely heavily on segmented offline testing, which suffers from artificial class rebalancing, hides neural activity drift over time, and severely inflates performance estimates. This stud...