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A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach
BACKGROUND: Brain signals (EEG—Electroencephalography) are a gold standard frequently used in epilepsy prediction. It is crucial to predict epilepsy, which is common in the community. Early diagnosis is essential to reduce the treatment process of the disease and to keep the process healthier. METHO...
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| Publicado en: | PeerJ Comput Sci |
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| Autor principal: | |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8157152/ https://ncbi.nlm.nih.gov/pubmed/34084928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.523 |
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