J. Weston Hughes

According to our database, J. Weston Hughes authored at least 4 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.

J. Weston Hughes, James E. Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert J. Rogers, Sanjiv M. Narayan, Pierre A. Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez

npj Digit. Medicine, 2023

2022

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality.

David Ouyang, John Theurer, Nathan R. Stein, J. Weston Hughes, Pierre A. Elias, Bryan He, Neal Yuan, Grant Duffy, Roopinder K. Sandhu, Joseph Ebinger, Patrick Botting, Melvin Jujjavarapu, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco V. Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert

CoRR, 2022

2019

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning.

J. Weston Hughes, Keng-hao Chang, Ruofei Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification.

J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison

CoRR, 2018