Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Author:
Affiliation:
1. Department of Information Technology, Walter Sisulu University, Buffalo City Campus, East London, South Africa
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10595068.pdf?arnumber=10595068
Reference130 articles.
1. Incremental learning strategies for credit cards fraud detection
2. HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture
3. Credit card fraud detection using ensemble data mining methods
4. Contactless Credit Cards Payment Fraud Protection by Ambient Authentication
5. Approx-SMOTE Federated Learning Credit Card Fraud Detection System
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications;Information;2024-08-25
2. Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation;IEEE Access;2024
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