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Journal of Medical Internet Research
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March 30, 2023
mHealth Systems Need a Privacy-by-Design Approach: Commentary on "Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review"
Ambuj Tewari
Experimental Gerontology
|
February 2, 2023
A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging
Mohamad D Bairakdar, Ambuj Tewari, Matthias C Truttmann
Advances in Neural Information Processing Systems
|
December 12, 2017
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Predrag Klasnja, et al.
Journal of Medical Internet Research
|
April 20, 2023
Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks
Alexander Shen, Luke Francisco, Srijan Sen, et al.
Journal of Chemical Information and Modeling
|
June 14, 2023
Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
JMIR Mhealth and Uhealth
|
March 30, 2021
Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data
Jessica Chia Liu, Jack Goetz, Srijan Sen, et al.
Digital Discovery
|
November 10, 2025
Prospective active transfer learning on the formal coupling of amines and carboxylic acids to form secondary alkyl bonds
Eunjae Shim, Ambuj Tewari, Paul M Zimmerman, et al.
Statistics in Medicine
|
December 29, 2015
Sample size calculations for micro-randomized trials in mHealth
Peng Liao, Predrag Klasnja, Ambuj Tewari, et al.
Chemical Science
|
February 5, 2025
Recommending reaction conditions with label ranking
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
Journal of Computational Chemistry
|
January 2, 2025
Examining the Impact of Local Constraint Violations on Energy Computations in DFT
Vaibhav Khanna, Bikash Kanungo, Vikram Gavini, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Journal of Medical Internet Research
|
March 30, 2023
mHealth Systems Need a Privacy-by-Design Approach: Commentary on "Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review"
Ambuj Tewari
Experimental Gerontology
|
February 2, 2023
A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging
Mohamad D Bairakdar, Ambuj Tewari, Matthias C Truttmann
Advances in Neural Information Processing Systems
|
December 12, 2017
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Predrag Klasnja, et al.
Journal of Medical Internet Research
|
April 20, 2023
Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks
Alexander Shen, Luke Francisco, Srijan Sen, et al.
Journal of Chemical Information and Modeling
|
June 14, 2023
Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
JMIR Mhealth and Uhealth
|
March 30, 2021
Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data
Jessica Chia Liu, Jack Goetz, Srijan Sen, et al.
Digital Discovery
|
November 10, 2025
Prospective active transfer learning on the formal coupling of amines and carboxylic acids to form secondary alkyl bonds
Eunjae Shim, Ambuj Tewari, Paul M Zimmerman, et al.
Statistics in Medicine
|
December 29, 2015
Sample size calculations for micro-randomized trials in mHealth
Peng Liao, Predrag Klasnja, Ambuj Tewari, et al.
Chemical Science
|
February 5, 2025
Recommending reaction conditions with label ranking
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
Journal of Computational Chemistry
|
January 2, 2025
Examining the Impact of Local Constraint Violations on Energy Computations in DFT
Vaibhav Khanna, Bikash Kanungo, Vikram Gavini, et al.
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of 3