Dinar Ibn Raihan

TEMPLAR fraud a verifier grounded calibrated and cost sensitive framework for transaction fraud detection

Transaction fraud detection remains difficult because fraudulent events are highly imbalanced, temporally drifting, cost asymmetric, and often supported by limited auditability in model decisions. Existing tabular, tree-based, and deep fraud detectors can achieve strong predictive performance, but they often provide we...