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Conference and Workshop Papers
- 2024
[c8]Galen Harrison
, Kevin Bryson, Ahmad Emmanuel Balla Bamba, Luca Dovichi, Aleksander Herrmann Binion, Arthur Borem, Blase Ur:
JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists. CHI 2024: 475:1-475:19- 2023
- [c7]Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S. S. Ravi, Anil Kumar S. Vullikanti, Madhav V. Marathe, Abhijin Adiga:
Identifying Complicated Contagion Scenarios from Cascade Data. KDD 2023: 4135-4145 - [c6]Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe:
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 2023: 23-33 - [c5]Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti, Abhijin Adiga:
A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles. WSC 2023: 3741-3752 - 2022
- [c4]Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe:
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI 2022: 12573-12579 - 2021
- [c3]Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur:
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. SIGIR 2021: 787-797 - 2020
- [c2]Galen Harrison, Julia Hanson, Christine Jacinto, Julio Ramirez, Blase Ur:
An empirical study on the perceived fairness of realistic, imperfect machine learning models. FAT* 2020: 392-402 - 2018
- [c1]Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster:
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. eScience 2018: 256-266
Coauthor Index
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