Thomas S. Brettin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | BioR5: A Three-Layer Architecture for Biological Reasoning in Scientific AI. | Peng Ding, Thomas S. Brettin, Rick Stevens |
| 2025 | SC | A Workflow for Error Analysis for Drug Response Prediction via Statistical Standardization and Distribution Analysis. | Jake Gwinn, Justin M. Wozniak, Rajeev Jain, Yitan Zhu, Alexander Partin, Thomas S. Brettin, Rick Stevens |
| 2023 | SC | Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. | Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens |
| 2023 | SC | Scalable Lead Prediction with Transformers using HPC resources. | Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath |
| 2022 | ICLR | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. | Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, rica Teixeira Prates, Vernica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin |
| 2020 | SC | High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. | Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens |
| 2019 | ICPP | Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. | Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia |
| 2018 | SC | Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies. | George F. Zaki, Justin M. Wozniak, Jonathan Ozik, Nicholson T. Collier, Thomas S. Brettin, Rick Stevens |
| 2017 | AMIA | Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. | Jessica A. Boten, Donna R. Rivera, Madhumita Myneni, Georgia D. Tourassi, Tanmoy Bhattacharya, Ana Paula de Oliveira Sales, Thomas S. Brettin, Paul A. Fearn, Lynne Penberthy |
| 2011 | SC | Poster: a novel architecture for biothreat situation awareness. | Thomas S. Brettin, Laura Pullum, Daniel Quest, Xiaohui Cui, Songhua Xu, Richard Stouder |