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ORCIDFrancis J. Alexander
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2020 – today
- 2024
[j15]Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park
, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon:
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024)- [j14]A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-objective latent space optimization of generative molecular design models. Patterns 5(10): 101042 (2024) - 2023
- [j13]Puhua Niu, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian:
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023) - [j12]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal decision-making in high-throughput virtual screening pipelines. Patterns 4(11): 100875 (2023) - [j11]Francis J. Alexander, Meifeng Lin, Xiaoning Qian, Byung-Jun Yoon:
Accelerating scientific discoveries through data-driven innovations. Patterns 4(11): 100876 (2023) - [c7]Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander:
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL 2023: 255-264 - [i8]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - [i7]Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon:
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR abs/2301.05763 (2023) - [i6]Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander:
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. CoRR abs/2307.08813 (2023) - 2022
- [j10]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. Patterns 3(3): 100428 (2022) - [c6]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - [c5]Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian:
Adaptive Group Testing with Mismatched Models. ICASSP 2022: 4533-4537 - [i5]A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-Objective Latent Space Optimization of Generative Molecular Design Models. CoRR abs/2203.00526 (2022) - 2021
- [j9]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [c4]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. AISTATS 2021: 3970-3978 - [c3]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Uncertainty-aware Active Learning for Optimal Bayesian Classifier. ICLR 2021 - [c2]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Efficient Active Learning for Gaussian Process Classification by Error Reduction. NeurIPS 2021: 9734-9746 - [i4]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. CoRR abs/2109.02150 (2021) - [i3]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. CoRR abs/2109.11683 (2021) - 2020
- [j8]Guang Zhao, Xiaoning Qian, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty:
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems. IEEE Trans. Signal Process. 68: 3849-3859 (2020) - [i2]Mike McKerns, Francis J. Alexander, Kyle S. Hickmann, Timothy John Sullivan, Diane E. Vaughan:
Optimal Bounds on Nonlinear Partial Differential Equations in Model Certification, Validation, and Experimental Design. CoRR abs/2009.06626 (2020)
2010 – 2019
- 2015
- [j7]Francis J. Alexander, Charles Meneveau:
Open Simulation Laboratories [Guest editors' introduction]. Comput. Sci. Eng. 17(5): 7-9 (2015) - [c1]Edward R. Dougherty, Lori A. Dalton, Francis J. Alexander:
Small data is the problem. ACSSC 2015: 418-422 - 2014
- [j6]Søren Taverniers, Francis J. Alexander, Daniel M. Tartakovsky:
Noise propagation in hybrid models of nonlinear systems: The Ginzburg-Landau equation. J. Comput. Phys. 262: 313-324 (2014) - 2013
- [j5]Francis J. Alexander:
Machine Learning. Comput. Sci. Eng. 15(5): 9-11 (2013) - 2011
- [j4]Francis J. Alexander, Adolfy Hoisie, Alexander S. Szalay:
Big Data [Guest editorial]. Comput. Sci. Eng. 13(6): 10-13 (2011)
2000 – 2009
- 2008
- [i1]Tarik Borogovac, Francis J. Alexander, Pirooz Vakili:
A Control Variate Approach for Improving Efficiency of Ensemble Monte Carlo. CoRR abs/0809.3187 (2008) - 2005
- [j3]Daniel M. Tartakovsky, Francis J. Alexander:
Guest Editors' Introduction: Multiphysics Modeling. Comput. Sci. Eng. 7(3): 14-15 (2005) - [j2]Daniel F. Martin, Phillip Colella, Marian Anghel, Francis J. Alexander:
Adaptive mesh refinement for multiscale nonequilibrium physics. Comput. Sci. Eng. 7(3): 24-31 (2005) - [j1]Francis J. Alexander, Daniel M. Tartakovsky, Alejandro L. Garcia:
Noise in algorithm refinement methods. Comput. Sci. Eng. 7(3): 32-38 (2005)
Coauthor Index
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