Genetic and environmental influences of white and gray matter signal contrast: A new phenotype for imaging genetics? - Matthew S. Panizzon; Christine Fennema-Notestine; Thomas S. Kubarych; Chi-Hua Chen; Lisa T. Eyler; Bruce Fischl; Carol E. Franz; Michael D. Grant; Samar Hamza; Amy J. Jak; Terry L. Jernigan; Michael J. Lyons 002; et al. (NeuroImage, 2012)

Building an Evaluation Scale using Item Response Theory. - John P. Lalor; Hao Wu 055; Hong Yu 001 (EMNLP, 2016)

Beyond Majority Voting: Generating Evaluation Scales using Item Response Theory. - John P. Lalor; Hao Wu 055; Hong Yu 001 (CoRR, 2016)

Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory. - John P. Lalor; Hao Wu 055; Li Chen; Kathleen M. Mazor; Hong Yu 001 (AMIA, 2017)

An Analysis of Machine Learning Intelligence. - John P. Lalor; Hao Wu 055; Tsendsuren Munkhdalai; Hong Yu 001 (CoRR, 2017)

Improving Machine Learning Ability with Fine-Tuning. - John P. Lalor; Hao Wu 055; Hong Yu 001 (CoRR, 2017)

Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. - John Lalor; Hao Wu 055; Tsendsuren Munkhdalai; Hong Yu 001 (EMNLP, 2018)

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. - John P. Lalor; Hao Wu 055; Hong Yu 001 (EMNLP/IJCNLP (1), 2019)

Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. - John P. Lalor; Hao Wu 055; Kathleen M. Mazor; Hong Yu 001 (Int. J. Medical Informatics, 2023)