Gated attention based generative adversarial networks for imbalanced credit card fraud detection

Credit card fraud detection is highly important to maintain financial security. However, it is challenging to train suitable models due to the class imbalance in credit card transaction data. To address this issue, this work proposes a novel deep learning framework, gated attention-based generative...

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Autors principals:	Jiangmeng Ge, Lanxiang Yin, Shiqing Zhang, Xiaoming Zhao
Format:	Artigo
Idioma:	Inglês
Publicat:	PeerJ Inc. 2025-06-01
Col·lecció:	PeerJ Computer Science
Matèries:	Credit card fraud detection Deep learning Generative adversarial networks Attention mechanism Class imbalance
Accés en línia:	https://peerj.com/articles/cs-2972.pdf
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