FairVis: Visual analytics for discovering intersectional bias in machine learning ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 46-56, 2019 | 202 | 2019 |
RECAST: Enabling user recourse and interpretability of toxicity detection models with interactive visualization AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, DH Chau, ... Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-26, 2021 | 27 | 2021 |
Diff in the loop: Supporting data comparison in exploratory data analysis AY Wang, W Epperson, RA DeLine, SM Drucker Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 24 | 2022 |
Leveraging analysis history for improved in situ visualization recommendation W Epperson, D Jung‐Lin Lee, L Wang, K Agarwal, AG Parameswaran, ... Computer Graphics Forum 41 (3), 145-155, 2022 | 13 | 2022 |
Strategies for reuse and sharing among data scientists in software teams W Epperson, AY Wang, R DeLine, SM Drucker Proceedings of the 44th International Conference on Software Engineering …, 2022 | 11 | 2022 |
Dead or alive: Continuous data profiling for interactive data science W Epperson, V Gorantla, D Moritz, A Perer IEEE Transactions on Visualization and Computer Graphics, 2023 | 7 | 2023 |
Recast: Interactive auditing of automatic toxicity detection models AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, D Yang, ... The Eighth International Workshop of Chinese CHI, 80-82, 2020 | 3 | 2020 |
A Declarative Specification for Authoring Metrics Dashboards W Epperson, K Wongsuphasawat, A Whilden, F Du, J Talbot 2023 IEEE Visualization in Data Science (VDS), 6-10, 2023 | 1 | 2023 |
VDS 2023 W Epperson, K Wongsuphasawat, R Sevastjanova, S Vogelbacher, ... | | |