Sparse regression analysis of task-relevant information distribution in the brain. - Irina Rish; Guillermo A. Cecchi; Kyle Heuton; Marwan N. Baliki; Apkar Vania Apkarian (Image Processing, 2012)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention. - Kyle Heuton; F. Samuel Muench; Shikhar Shrestha; Thomas J. Stopka; Michael C. Hughes (CoRR, 2025)

Using machine learning to measure evidence of students' sensemaking in physics courses. - Kaitlin Gili; Kyle Heuton; Astha Shah; Michael C. Hughes (CoRR, 2025)