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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| Main Authors: | Jiangmeng Ge, Lanxiang Yin, Shiqing Zhang, Xiaoming Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-06-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2972.pdf |
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