9 citations · 10 across the 3 of their papers we have counts for
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cs.LG2025★ 1 cited
Evaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Data
Chao Wang, Chuanhao Nie, Yunbo Liu
Fraud detection remains a critical task in high-stakes domains such as finance and e-commerce, where undetected fraudulent transactions can lead to significant economic losses. In…
cs.LG2025★ 9 cited
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
Yisong Chen, Chuqing Zhao, Yixin Xu +2
This paper systematically reviews advancements in deep learning (DL) techniques for financial fraud detection, a critical issue in the financial sector. Using the Kitchenham system…