1 citations · 1 across the 2 of their papers we have counts for
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.CR2025★ 1 cited
Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam Detection with Robust and Context-Aware Text Classification
Mohsen Ahmadi, Matin Khajavi, Abbas Varmaghani +3
This study evaluates the effectiveness of different feature extraction techniques and classification algorithms in detecting spam messages within SMS data. We analyzed six classifi…