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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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| Publicat a: | PeerJ Comput Sci |
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| Autor principal: | |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2021
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| Matèries: | |
| Accés en línia: | 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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