3 papers
cs.LG2026
A Rolling-Window Framework for Churn Prediction and Behavioral Driver Identification
Muhammad Jawad Mufti, Omar Hammad, Haitham Saleh +1
Customer churn prediction is a central task in customer analytics, particularly in non-contractual, pay-per-use service environments where disengagement is not explicitly observed…
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…