2 papers in the archive are tagged Credit Card Fraud Detection, each distilled into a research flowchart and scored on two axes — mathematical complexity and empirical rigor (how scoring works). They are ranked below so the most evidence-backed work appears first.
- CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Holy Grail Rigor 8 Math 7.5
- Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism Holy Grail Rigor 6.5 Math 6
Broader area: Machine Learning · All topics: research topics → · Full archive: every paper →