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. - Benrimoh, David; Armstrong, Caitrin; Mehltretter, Joseph; Fratila, Robert; Perlman, Kelly; Israel, Sonia; Kapelner, Adam; Parikh, Sagar V.; Karp, Jordan F.; Heller, Katherine A.; Turecki, Gustavo (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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