Credit Card Fraud Detection Using Deep Learning Techniques and Handling Unbalanced Class Distributions With AGSS
The rapid surge in digital financial transactions has been accompanied by a parallel increase in credit card fraud, underscoring the need for highly accurate and scalable detection systems. A key challenge in this domain is the pronounced class imbalance within fraudulent datasets, which often leads...
保存先:
| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2026-01-01
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| シリーズ: | IEEE Access |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/11320300/ |
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