2 papers
cs.LG2025
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
Dorsa Farahmandazad, Kasra Danesh
Medicare fraud poses a substantial challenge to healthcare systems, resulting in significant financial losses and undermining the quality of care provided to legitimate beneficiari…
cs.CR2024
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
Mona Esmaeili, Morteza Rahimi, Hadise Pishdast +3
Attacks against the Internet of Things (IoT) are rising as devices, applications, and interactions become more networked and integrated. The increase in cyber-attacks that target I…