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Survey on deep learning with class imbalance
Abstract The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imbalance is naturally inherent in many real-world applications, e.g., fraud detectio...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2019-03-01
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| Colecção: | Journal of Big Data |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s40537-019-0192-5 |
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