6 papers
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…
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…
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…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
Improving User Experience with Personalized Review Ranking and Summarization
Muhammad Jawad Mufti, Omar Hammad, MD. Mahfuzur Rahman
Online consumer reviews are important decision-support resources in e-commerce, yet the increasing volume of reviews often creates information overload and makes it difficult for u…
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…