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

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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Podrobná bibliografie
Hlavní autoři: Imene Jemal, Neila Mezghani, Lina Abou-Abbas, Amar Mitiche
Médium: Článek
Jazyk:English
Vydáno: IEEE 2022-01-01
Edice:IEEE Access
Témata:
Epileptic seizure prediction
deep neural networks
interpretable decisions
EEG signal
On-line přístup:https://ieeexplore.ieee.org/document/9777979/

Internet

https://ieeexplore.ieee.org/document/9777979/

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