Adam Kapelner

Orcid: 0000-0001-5985-6792

According to our database1, Adam Kapelner authored at least 10 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.
CoRR, 2023

2021
Evaluating the Effectiveness of Personalized Medicine With Software.
Frontiers Big Data, 2021

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare.
Frontiers Big Data, 2021

2020
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions.
Frontiers Big Data, 2020

2018
Predicting Contextual Informativeness for Vocabulary Learning.
IEEE Trans. Learn. Technol., 2018

2016
Predicting Individual Well-Being Through the Language of Social Media.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2013
bartMachine: A Powerful Tool for Machine Learning.
CoRR, 2013

Prediction with Missing Data via Bayesian Additive Regression Trees.
CoRR, 2013

2012
Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets
CoRR, 2012

New Insights from Coarse Word Sense Disambiguation in the Crowd.
Proceedings of the COLING 2012, 2012


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