Preprint
Aug 2026
ChequeMark: An Ensemble Machine Learning Framework for After-Hours Business Deposit Fraud Detection
A multi-view ensemble ML framework that combines Extreme Gradient Boosting for known fraud patterns, Isolation Forest for label-free anomaly detection, and Graph Sample and Aggregate for relational patterns associated with transaction activities is proposed.
A. Xu, Emily Yu, Justin Leski et al.
· 0 citations