Adam Kapelner

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 7

Top Topics

Vocabulary Learning

Regression Trees

Top Venues

Frontiers Big Data

IEEE Trans. Learn. Technol.

Publications

David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine Heller, Gustavo Turecki
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. CoRR (2024)
David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan Karp, Benoit H. Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. CoRR (2023)
David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner
Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. Frontiers Big Data 4 (2021)
Adam Kapelner, Justin Bleich, Alina Levine, Zachary D. Cohen, Robert J. DeRubeis, Richard Berk
Evaluating the Effectiveness of Personalized Medicine With Software. Frontiers Big Data 4 (2021)
Gerald P. Clarke, Adam Kapelner
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions. Frontiers Big Data 3 (2020)
Adam Kapelner, Jeanine Soterwood, Shalev Nessaiver, Suzanne Adlof
Predicting Contextual Informativeness for Vocabulary Learning. IEEE Trans. Learn. Technol. 11 (1) (2018)
H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar
Predicting Individual Well-Being Through the Language of Social Media. PSB (2016)
Adam Kapelner, Justin Bleich
bartMachine: A Powerful Tool for Machine Learning. CoRR (2013)
Adam Kapelner, Justin Bleich
Prediction with Missing Data via Bayesian Additive Regression Trees. CoRR (2013)
Dana Chandler, Adam Kapelner
Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets CoRR (2012)
Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster
New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) (2012)