Adam Kapelner - RankMe

12 papers Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting Contextual Informativeness for Vocabulary Learning using Deep Learning. CoRR Tao Wu, Adam Kapelner
2024	J	`jnl`	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 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
2023	J	`jnl`	Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. CoRR 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, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki
2021	J	`jnl`	Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. Frontiers Big Data David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner
2021	J	`jnl`	Evaluating the Effectiveness of Personalized Medicine With Software. Frontiers Big Data Adam Kapelner, Justin Bleich, Alina Levine, Zachary D. Cohen, Robert J. DeRubeis, Richard Berk
2020	J	`jnl`	The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions. Frontiers Big Data Gerald P. Clarke, Adam Kapelner
2018	J	`jnl`	Predicting Contextual Informativeness for Vocabulary Learning. IEEE Trans. Learn. Technol. Adam Kapelner, Jeanine Soterwood, Shalev Nessaiver, Suzanne Adlof
2016	Misc	`conf`	Predicting Individual Well-Being Through the Language of Social Media. PSB 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
2013	J	`jnl`	Prediction with Missing Data via Bayesian Additive Regression Trees. CoRR Adam Kapelner, Justin Bleich
2013	J	`jnl`	bartMachine: A Powerful Tool for Machine Learning. CoRR Adam Kapelner, Justin Bleich
2012	J	`jnl`	Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets CoRR Dana Chandler, Adam Kapelner
2012	—	`conf`	New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster