3 papers
cs.LG2026
Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
Christopher Ratigan, Kyle Heuton, Carissa Wang +2
The ROC curve is widely used to assess binary classifiers. Yet for some applications, such as alert systems for monitoring hospitalized patients, conventional ROC analysis cannot m…
cs.LG2025
Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention
Kyle Heuton, F. Samuel Muench, Shikhar Shrestha +2
Optimal allocation of scarce resources is a common problem for decision makers faced with choosing a limited number of locations for intervention. Spatiotemporal prediction models…
physics.ed-ph2025
Combining physics education and machine learning research to measure evidence of students' mechanistic sensemaking
Kaitlin Gili, Kyle Heuton, Astha Shah +2
Advances in machine learning (ML) offer new possibilities for science education research. We report on early progress in the design of an ML-based tool to analyze students' mechani…