An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data

Deep learning has served pattern classification in many applications, with a performance which often well exceeds that of other machine learning paradigms. Yet, in general, deep learning has used computational architectures built, albeit partially, by ad hoc means, and its classification decisions a...

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Detalles Bibliográficos

Autores principales:	Imene Jemal, Neila Mezghani, Lina Abou-Abbas, Amar Mitiche
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2022-01-01
Colección:	IEEE Access
Materias:	Epileptic seizure prediction deep neural networks interpretable decisions EEG signal
Acceso en línea:	https://ieeexplore.ieee.org/document/9777979/
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