Author

Mason B. Dana

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#machine learning Preprint Sep 2026

Hybrid Ensemble Learning for EEG-Based Epileptic Seizure Forecasting

A calibrated hybrid ensemble for EEG-based seizure forecasting that combines five deep learning models and three classical machine learning models through a logistic regression stacking meta-learner is proposed, evaluating the framework on CHB-MIT using strict Leave-One-Patient-Out (LOPO) cross-validation.

Mason B. Dana, Khandaker Mamun Ahmed · 0 citations