6 papers
Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters
Lubna Mahmoud Abu Zohair, Hind Zantout
Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive, and behavioral functions, where accurate characterization of disease progressio…
A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset
Lubna M. Abu Zohair, Marta Vallejo, MD Azher Uddin +2
Huntington's disease (HD) is a progressive brain disorder that gradually affects movement, cognitive function, and behavior. Identifying the stage of the disease accurately and con…
Fine-Tuning Models for Automated Code Review Feedback
Smitha S Kumar, Michael A Lones, Manuel Maarek +1
Large Language Models have introduced new possibilities for programming education through personalized support, content creation, and automated feedback. While recent studies have…
Reassessing feature-based Android malware detection in a contemporary context
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. Thes…
Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education
Smitha Kumar, Michael A. Lones, Manuel Maarek +1
The rapid advancement of Large Language Models (LLMs) has opened new avenues in education. This study examines the use of LLMs in supporting learning in machine learning education;…
Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
Heba El-Shimy, Hind Zantout, Michael A. Lones +1
Deep learning techniques are increasingly being adopted in diagnostic medical imaging. However, the limited availability of high-quality, large-scale medical datasets presents a si…