VR-FraudNet, a five-stage framework combining a time-conditioned spectral graph encoder, LightGBM triage and threshold routing, a schema-constrained rationale language model, a fixed deterministic verifier, and an isotonic probability mixer with split-conformal calibration, does not establish universal adversarial safe...
Md Sultanul Arefin Sourav, Evha Rozario, Md Ashiqul Islam et al.· Discover Artificial Intellig...· 0 citations
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...
Mohammad Sazzad Hossain, Samia Akter, Kaniz Sultana Chy et al.· Discover Data· 0 citations
The results show that the proposed framework provides complementary insights: structured models support overall satisfaction prediction, while the DeBERTa-v3-based aspect model provides more detailed attribution of customer experience across product, delivery, and usability dimensions.
