| An empirical study on the perceived fairness of realistic, imperfect machine learning models G Harrison, J Hanson, C Jacinto, J Ramirez, B Ur Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 118 | 2020 |
| Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022 | 40 | 2022 |
| Skluma: An extensible metadata extraction pipeline for disorganized data TJ Skluzacek, R Kumar, R Chard, G Harrison, P Beckman, K Chard, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 256-266, 2018 | 24 | 2018 |
| Data-driven real-time strategic placement of mobile vaccine distribution sites Z Mehrab, ML Wilson, S Chang, G Harrison, B Lewis, A Telionis, J Crow, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12573 …, 2022 | 12 | 2022 |
| Files of a feather flock together? Measuring and modeling how users perceive file similarity in cloud storage W Brackenbury, G Harrison, K Chard, A Elmore, B Ur Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 6 | 2021 |
| An empirical study on the perceived fairness of realistic, imperfect machine learning models. FAT* 2020-Proceedings of the 2020 Conference on Fairness, Accountability, and … G Harrison, J Hanson, C Jacinto, J Ramirez, B Ur | 2 | 2020 |
| Skluma: An extensible metadata extraction pipeline for disorganized data. In 2018 IEEE 14th Int’l Conference on e-Science (e-Science) TJ Skluzacek, R Kumar, R Chard, G Harrison, P Beckman, K Chard, ... IEEE, 2018 | 2 | 2018 |
| Where’s the Bias? Developing Effective Model Governance G Harrison, N Duarte, J Hall Proceedings of the Neural Information Processing Systems, 2018 | 2 | 2018 |
| Identifying Complicated Contagion Scenarios from Cascade Data G Harrison, A Alabsi Aljundi, J Chen, SS Ravi, AK Vullikanti, MV Marathe, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists G Harrison, K Bryson, AEB Bamba, L Dovichi, AH Binion, A Borem, B Ur Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-19, 2024 | | 2024 |
| A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles AA Aljundi, G Harrison, J Chen, MV Marathe, H Mortveit, A Vullikanti, ... 2023 Winter Simulation Conference (WSC), 3741-3752, 2023 | | 2023 |
| Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities G Harrison, P Porebski, J Chen, M Wilson, H Mortveit, P Bhattacharya, ... 2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023 | | 2023 |
| Differentially Private Statistics: Implementation and Performance of PTR and Objective Perturbation Methods G Harrison Reed College, 2015 | | 2015 |
| 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)| 979-8-3503-2385-6/23/$31.00© 2023 IEEE| DOI: 10.1109 … M Abdelgawad, I Adom, G Agrawal, I Ahmed, AJ Akbarfam, M Akgün, ... | | |
| Towards Supporting and Documenting Algorithmic Fairness in the Data Science Workflow G Harrison, J Hanson, B Ur | | |
Blase UrAssociate Professor, University of Chicago在 uchicago.edu 的电子邮件经过验证
Blase UrAssociate Professor, University of Chicago在 uchicago.edu 的电子邮件经过验证
Kyle ChardUniversity of Chicago and Argonne National Laboratory在 uchicago.edu 的电子邮件经过验证