Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
Credit card fraud detection remains a significant challenge in the financial industry, necessitating advanced models to identify fraudulent activities while minimizing false positives accurately. Traditional machine learning approaches, such as Multilayer Perceptrons (MLP), have been widely used but...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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IEEE
2024-01-01
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| Schriftenreihe: | IEEE Access |
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| Online-Zugang: | https://ieeexplore.ieee.org/document/10731689/ |
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