A proposed CRNIM hybrid CNN-GRU model is claimed to reach 97.1% accuracy and 0.94 AUROC on the Elliptic Bitcoin dataset for anomaly detection.
Anti-Money Laundering (AML) Information Technology Strategies in Cross-Border Payment Systems,
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Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
A proposed CRNIM hybrid CNN-GRU model is claimed to reach 97.1% accuracy and 0.94 AUROC on the Elliptic Bitcoin dataset for anomaly detection.