Garrett Stevenson

According to our database, Garrett Stevenson authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction.

K. Aditya Mohan, Massimiliano Ferrucci, Chuck Divin, Garrett A. Stevenson, Hyojin Kim

CoRR, 2024

2023

Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method.

Garrett A. Stevenson, Dan Kirshner, Brian J. Bennion, Yue Yang, Xiaohua Zhang, Adam T. Zemla, Marisa W. Torres, Aidan Epstein, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Sergio Ernesto Wong, Jonathan E. Allen, Felice C. Lightstone

J. Chem. Inf. Model., November, 2023

2022

Modeling Buried Object Brightness and Visibility for Ground Penetrating Radar.

Garrett A. Stevenson, Jason Wilson, Brian M. Worthmann, Wlamir Xavier

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Clutter Distributions for Tomographic Image Standardization in Ground-Penetrating Radar.

Brian M. Worthmann, David H. Chambers, David S. Perlmutter, Jeffrey E. Mast, David W. Paglieroni, Christian T. Pechard, Garrett A. Stevenson, Steven W. Bond

IEEE Trans. Geosci. Remote. Sens., 2021

Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference.

Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, W. F. Drew Bennett, Daniel A. Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen

J. Chem. Inf. Model., 2021

High-throughput virtual screening of small molecule inhibitors for SARS-CoV-2 protein targets with deep fusion models.

Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Brian J. Bennion, Monica Borucki, Feliza Bourguet, Aidan Epstein, Magdalena Franco, Brooke Harmon, Stewart He, Max P. Katz, Daniel A. Kirshner, Victoria Lao, Edmond Y. Lau, Jacky Lo, Kevin McLoughlin, Richard Mosesso, Deepa K. Murugesh, Oscar A. Negrete, Edwin A. Saada, Brent Segelke, Maxwell Stefan, Marisa W. Torres, Dina Weilhammer, Sergio Ernesto Wong, Yue Yang, Adam T. Zemla, Xiaohua Zhang, Fangqiang Zhu, Felice C. Lightstone, Jonathan E. Allen

Proceedings of the International Conference for High Performance Computing, 2021

2020

Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference.

Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, William D. Bennett, Dan Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen

CoRR, 2020

2019

Seeing eye drone: a deep learning, vision-based UAV for assisting the visually impaired with mobility.

Lynne L. Grewe, Garrett Stevenson

Proceedings of the ACM Turing Celebration Conference - China, 2019