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Alexander S Rich

Showing results (1-10 of 6) with videos related to

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Journal of Experimental Psychology. General|September 25, 2018
The limits of learning: Exploration, generalization, and the development of learning trapsAlexander S Rich, Todd M Gureckis
JAMA Network Open|July 7, 2021
Progress in the Application of Machine Learning Algorithms to Cancer Research and CareNeal J Meropol, Janet Donegan, Alexander S Rich
JCO Clinical Cancer Informatics|May 9, 2023
Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health RecordsArjun Sondhi, Alexander S Rich, Siruo Wang, et al.
Behavior Research Methods|October 3, 2015
psiTurk: An open-source framework for conducting replicable behavioral experiments onlineTodd M Gureckis, Jay Martin, John McDonnell, et al.
NPJ Digital Medicine|August 16, 2022
A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncologyLorinda Coombs, Abigail Orlando, Xiaoliang Wang, et al.
ACS Medicinal Chemistry Letters|August 14, 2024
Machine Learning ADME Models in Practice: Four Guidelines from a Successful Lead Optimization Case StudyAlexander S Rich, Yvonne H Chan, Benjamin Birnbaum, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Experimental Psychology. General|September 25, 2018
The limits of learning: Exploration, generalization, and the development of learning trapsAlexander S Rich, Todd M Gureckis
JAMA Network Open|July 7, 2021
Progress in the Application of Machine Learning Algorithms to Cancer Research and CareNeal J Meropol, Janet Donegan, Alexander S Rich
JCO Clinical Cancer Informatics|May 9, 2023
Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health RecordsArjun Sondhi, Alexander S Rich, Siruo Wang, et al.
Behavior Research Methods|October 3, 2015
psiTurk: An open-source framework for conducting replicable behavioral experiments onlineTodd M Gureckis, Jay Martin, John McDonnell, et al.
NPJ Digital Medicine|August 16, 2022
A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncologyLorinda Coombs, Abigail Orlando, Xiaoliang Wang, et al.
ACS Medicinal Chemistry Letters|August 14, 2024
Machine Learning ADME Models in Practice: Four Guidelines from a Successful Lead Optimization Case StudyAlexander S Rich, Yvonne H Chan, Benjamin Birnbaum, et al.
Pageof 1