Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks

The high prevalence of fraud in contemporary financial transactions necessitates advanced anomaly detection systems to address the significant imbalance between legitimate and anomalous transactions in real-time datasets. To address this issue, our study introduces a novel approach, the regularized...

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Bibliographic Details
Main Authors: Junhak Lee, Dayeon Jung, Jihoon Moon, Seungmin Rho
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Alexandria Engineering Journal
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Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824012523
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