Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Wikipedia volunteers spent years cataloging AI tells. Now there’s a plugin to avoid them.

The source material is a guide from WikiProject AI Cleanup, a group of Wikipedia editors who have been hunting AI-generated ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
IEEE

Technical Analysis and Comparison of Intrusion Detection Systems Using Hybrid Machine Learning Approach

Abstract: Intrusion Detection Systems (IDS) are critical components in securing network environments against a myriad of cyber threats. The evolution of machine learning (ML) techniques has ...