New Insights from Coarse Word Sense Disambiguation in the Crowd. - Adam Kapelner; Krishna Kaliannan; Hansen Andrew Schwartz; Lyle H. Ungar; Dean P. Foster (COLING (Posters), 2012)

Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets - Dana Chandler; Adam Kapelner (CoRR, 2012)

Prediction with Missing Data via Bayesian Additive Regression Trees. - Adam Kapelner; Justin Bleich (CoRR, 2013)

bartMachine: A Powerful Tool for Machine Learning. - Adam Kapelner; Justin Bleich (CoRR, 2013)

Predicting Individual Well-Being Through the Language of Social Media. - H. Andrew Schwartz; Maarten Sap; Margaret L. Kern; Johannes C. Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco 002; Lukasz Dziurzynski; Gregory J. Park; David Stillwell; Michal Kosinski; Martin E. P. Seligman; et al. (PSB, 2016)

Predicting Contextual Informativeness for Vocabulary Learning. - Adam Kapelner; Jeanine Soterwood; Shalev Nessaiver; Suzanne Adlof (IEEE Trans. Learn. Technol., 2018)

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions. - Gerald P. Clarke; Adam Kapelner (Frontiers Big Data, 2020)

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. - David Benrimoh; Sonia Israel; Robert Fratila; Caitrin Armstrong; Kelly Perlman; Ariel Rosenfeld; Adam Kapelner (Frontiers Big Data, 2021)

Evaluating the Effectiveness of Personalized Medicine With Software. - Adam Kapelner; Justin Bleich; Alina Levine; Zachary D. Cohen; Robert J. DeRubeis; Richard Berk (Frontiers Big Data, 2021)

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. - David Benrimoh; Akiva Kleinerman; Toshi A. Furukawa; Charles F. Reynolds III; Eric Lenze; Jordan F. Karp; Benoit H. Mulsant; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; et al. (CoRR, 2023)

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study. - David Benrimoh; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; Adam Kapelner; Sagar V. Parikh; Jordan F. Karp; Katherine A. Heller; Gustavo Turecki (CoRR, 2024)