Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance
Detecting credit card fraud is a complex tabular learning problem due to the underrepresentation of fraudulent events, extreme class imbalance, and scattered minority areas. To address this limitation, a conservative minority synthesis strategy is proposed, combining the removal of minority outliers...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2026-07-01
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| coleção: | Frontiers in Artificial Intelligence |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/frai.2026.1871972/full |
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