IEEE

A novel RX-RZ Entangled Feature Map Kernel for Fraud Detection using Quantum Support Vector Machine Classifier

Abstract: This study proposes a quantum-kernel framework based on a Quantum Support Vector Machine (QSVM) with a novel XYZ feature map integrating RY and RZ rotations for encoding, full all-to-all CX ...
IEEE

XAI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and Confidence-Driven Gating for Reliable Decision-Making

Abstract: The challenge of fraud detection, especially in credit card transactions, continues to grow as fraudsters adapt to increasingly sophisticated tactics. Traditional methods, including ...