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2020 – today
- 2024
[j3]Will Epperson
, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. IEEE Trans. Vis. Comput. Graph. 30(1): 197-207 (2024)- [i6]Yuqi Zhang, Adam Perer, Will Epperson:
Guided Statistical Workflows with Interactive Explanations and Assumption Checking. CoRR abs/2410.00365 (2024) - 2023
- [i5]Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. CoRR abs/2308.03964 (2023) - [i4]Will Epperson, Kanit Wongsuphasawat, Allison Whilden, Fan Du, Justin Talbot:
A Declarative Specification for Authoring Metrics Dashboards. CoRR abs/2309.13265 (2023) - 2022
- [j2]Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer:
Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum 41(3): 145-155 (2022) - [c4]April Yi Wang, Will Epperson, Robert A. DeLine, Steven Mark Drucker:
Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis. CHI 2022: 97:1-97:10 - [c3]Will Epperson, April Yi Wang, Robert DeLine, Steven Mark Drucker:
Strategies for Reuse and Sharing among Data Scientists in Software Teams. ICSE (SEIP) 2022: 243-252 - 2021
- [j1]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 181:1-181:26 (2021) - [i3]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR abs/2102.04427 (2021) - 2020
- [c2]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI 2020: 80-82 - [i2]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR abs/2001.01819 (2020)
2010 – 2019
- 2019
- [c1]Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST 2019: 46-56 - [i1]Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR abs/1904.05419 (2019)
Coauthor Index
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