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…
cond-mat.mtrl-sci2026
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…
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…