D. Air

Multi-Objective Explainable Transformer Framework for Fraud Risk Forecasting in Digital Payment Ecosystems

This research demonstrates a joint multi-objective Transformer model for fraud classification and future risk forecasting, along with complementary explainability features via SHAP-based feature attribution and temporal attention analysis, which translates to transparent and anticipatory fraud risk management in digita...