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Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting
Seizure detection is a major goal for simplifying the workflow of clinicians working on EEG records. Current algorithms can only detect seizures effectively for patients already presented to the classifier. These algorithms are hard to generalize outside the initial training set without proper regul...
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| Publicado no: | Proc COMPSAC |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7567426/ https://ncbi.nlm.nih.gov/pubmed/33073266 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/COMPSAC48688.2020.0-182 |
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