3 papers
cs.LG2024
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
Chang Yu, Yixin Jin, Qianwen Xing +3
Bank credit risk is a significant challenge in modern financial transactions, and the ability to identify qualified credit card holders among a large number of applicants is crucia…
cs.CR2024
Advanced Payment Security System:XGBoost, LightGBM and SMOTE Integrated
Qi Zheng, Chang Yu, Jin Cao +3
With the rise of various online and mobile payment systems, transaction fraud has become a significant threat to financial security. This study explores the application of advanced…
cs.LG2024
Credit Card Fraud Detection Using Advanced Transformer Model
Chang Yu, Yongshun Xu, Jin Cao +3
With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative a…