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Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19
Almost every dataset these days continually faces the predicament of class imbalance. It is difficult to train classifiers on these types of data as they become biased towards a set of classes, hence leading to reduction in classifier performance. This setback is often tackled by the use of various...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Authors. Published by Elsevier B.V.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710484/ https://www.ncbi.nlm.nih.gov/pubmed/33289013 http://dx.doi.org/10.1016/j.ibmed.2020.100023 |