Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. - Scott Hellman; Amy McGovern; Ming Xue (CIDU, 2012)

An apprenticeship model for human and AI collaborative essay grading. - Alok Baikadi; Lee Becker; Jill Budden; Peter W. Foltz; Andrew Gorman; Scott Hellman; William Murray; Mark Rosenstein (IUI Workshops, 2019)

Scaling Up Writing in the Curriculum: Batch Mode Active Learning for Automated Essay Scoring. - Scott Hellman; Mark Rosenstein; Andrew Gorman; William Murray; Lee Becker; Alok Baikadi; Jill Budden; Peter W. Foltz (L@S, 2019)

Multiple Instance Learning for Content Feedback Localization without Annotation. - Scott Hellman; William Murray; Adam Wiemerslage; Mark Rosenstein; Peter W. Foltz; Lee Becker; Marcia Derr (BEA@ACL, 2020)

Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems. - Scott Hellman; Alejandro Andrade 001; Kyle Habermehl (BEA@ACL, 2023)