Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Background: Mental health issues have become a significant global public health challenge. Traditional assessments rely on subjective methods with limited ecological validity. Passive sensing via ...
IEEE

A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware

Abstract: The advancement of information technology has introduced new challenges in cybersecurity, especially related to the Android platform which is the main target of malicious software (malware) ...
GitHub

[ACMMM 2025]DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...
IEEE

Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications

Abstract: The rapid increase in smartphone usage has led to a corresponding rise in malicious Android applications, making it important to develop efficient and sustainable malware detection methods ...