Kyle Heuton

According to our database, Kyle Heuton authored at least 6 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints.

Christopher Ratigan, Kyle Heuton, Carissa Wang, Lenore Cowen, Michael C. Hughes

CoRR, October, 2025

Using machine learning to measure evidence of students' sensemaking in physics courses.

Kaitlin Gili, Kyle Heuton, Astha Shah, Michael C. Hughes

CoRR, March, 2025

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, March, 2025

2024

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, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang

Proceedings of the Machine Learning for Health, 2024

2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

2012

Sparse regression analysis of task-relevant information distribution in the brain.

Irina Rish, Guillermo A. Cecchi, Kyle Heuton, Marwan N. Baliki, Apkar Vania Apkarian

Proceedings of the Medical Imaging 2012: Image Processing, 2012