Will Epperson

According to our database, Will Epperson authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dead or Alive: Continuous Data Profiling for Interactive Data Science.

Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer

IEEE Trans. Vis. Comput. Graph., January, 2024

Guided Statistical Workflows with Interactive Explanations and Assumption Checking.

Yuqi Zhang, Adam Perer, Will Epperson

Proceedings of the IEEE Visualization and Visual Analytics, 2024

2023

A Declarative Specification for Authoring Metrics Dashboards.

Will Epperson, Kanit Wongsuphasawat, Allison Whilden, Fan Du, Justin Talbot

CoRR, 2023

2022

Leveraging Analysis History for Improved In Situ Visualization Recommendation.

Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer

Comput. Graph. Forum, 2022

Strategies for Reuse and Sharing among Data Scientists in Software Teams.

Will Epperson, April Yi Wang, Robert DeLine, Steven Mark Drucker

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis.

April Yi Wang, Will Epperson, Robert A. DeLine, Steven Mark Drucker

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.

Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang

Proc. ACM Hum. Comput. Interact., 2021

2020

RECAST: Interactive Auditing of Automatic Toxicity Detection Models.

Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau

Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2019

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019