Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application. - Chris J. Kennedy; Geoff Bacon; Alexander Sahn; Claudia von Vacano (CoRR, 2020)

Innovations in machine learning: interval latent variables, causal exposure mixtures, and clinical predictive modeling - Chris J. Kennedy (2020)

Tracking e-cigarette warning label compliance on Instagram with deep learning. - Chris J. Kennedy; Julia Vassey; Ho-Chun Herbert Chang; Jennifer B. Unger; Emilio Ferrara (CoRR, 2021)

A real-time spatiotemporal AI model analyzes skill in open surgical videos. - Emmett D. Goodman; Krishna K. Patel; Yilun Zhang; William Locke; Chris J. Kennedy; Rohan Mehrotra; Stephen Ren; Melody Y. Guan; Maren Downing; Hao Wei Chen; Jevin Z. Clark; Gabriel A. Brat; et al. (CoRR, 2021)

Leveraging External Data to Make Local Predictions of Post-Surgical Opioid Use: Investigating the Role of External Validation and Transfer Learning. - Chris J. Kennedy; Jayson S. Marwaha; Brendin Beaulieu-Jones; Josh Bleicher; Lyen Huang; Gabriel A. Brat (AMIA, 2022)

Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions. - Jeffrey G. Klann; Zachary H. Strasser; Chris J. Kennedy; Meghan Hutch; John H. Holmes; Gabriel A. Brat; Shawn N. Murphy (AMIA, 2022)

Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus. - Pratik S. Sachdeva; Renata Barreto; Claudia von Vacano; Chris J. Kennedy (FAccT, 2022)

The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism. - Pratik S. Sachdeva; Renata Barreto; Geoff Bacon; Alexander Sahn; Claudia von Vacano; Chris J. Kennedy (NLPerspectives@LREC, 2022)