Anomaly Detection in Imbalanced Datasets Using FraudX AI — KazNU

Anomaly Detection in Imbalanced Datasets Using FraudX AI

2025 · Conference Paper
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Publication year

2025

Authors

Source: Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS

DOI: 10.1109/IDAACS68557.2025.11322323

Scopus: Open in Scopus

Fields of knowledge

Artificial Intelligence Computer Science Applications Computer Vision and Pattern Recognition Information Systems Information Systems and Management Control and Optimization Modeling and Simulation Instrumentation