2 papers
cs.LG2025
Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
Yue Yang, Yuxiang Lin, Ying Zhang +5
Prediction of post-loan default is an important task in credit risk management, and can be addressed by detection of financial anomalies using machine learning. This study introduc…
cs.LG2025
Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
Yue Yang, Zihan Su, Ying Zhang +4
This study addresses a critical challenge in time series anomaly detection: enhancing the predictive capability of loan default models more than three months in advance to enable e…