Hybrid ensemble for EEG-based epileptic seizure forecasting uses five deep learning models and three classical models with logistic regression stacking
Read the original at arxiv.org→arXiv:2609.35876v1 Announce Type: new Abstract: Epileptic seizure forecasting aims to provide actionable warnings before seizure onset, yet patient-independent generalization and false-alarm control remain major...
Original headline: "Hybrid Ensemble Learning for EEG-Based Epileptic Seizure Forecasting"
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- Sep 30, 04:00 UTC arXiv cs.LG lead source Hybrid Ensemble Learning for EEG-Based Epileptic Seizure Forecasting