3 papers
cs.HC2026
Context-Aware Workflow Decomposition for Automated Mobile UI Annotation Using Multimodal Large Language Models
Athar Parvez, Muhammad Jawad Mufti, Muqaddas Gull +1
Accurate mobile user interface annotation is important for UI understanding, accessibility tools, automated testing, dataset construction, and GUI agents. However, mobile screens a…
cs.HC2026
MUIAnno: An Expert-Annotated Dataset and Evaluation Benchmark for Mobile UI Understanding
Athar Parvez, Muhammad Jawad Mufti, Muqaddas Gull +1
Understanding mobile user interfaces is important for building intelligent systems such as automation tools, accessibility solutions, and UI-aware agents. However, progress in this…
cs.LG2025
Generalizable Diabetes Risk Stratification via Hybrid Machine Learning Models
Athar Parvez, Muhammad Jawad Mufti
Background/Purpose: Diabetes affects over 537 million people worldwide and is projected to reach 783 million by 2045. Early risk stratification can benefit from machine learning. W…