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Ensemble method using real images, metadata and synthetic images for control of class imbalance in classification
Binary classification and anomaly detection face the problem of class imbalance in data sets. The contribution of this paper is to provide an ensemble model that improves image binary classification by reducing the class imbalance between the minority and majority classes in a data set. The ensemble...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Japan
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437415/ https://www.ncbi.nlm.nih.gov/pubmed/36068817 http://dx.doi.org/10.1007/s10015-022-00781-8 |