Will Epperson

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Visual Analytics

Probabilistic Xml

Machine Learning

Continuous Data

Top Venues

Publications

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) (2024)
Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer
Dead or Alive: Continuous Data Profiling for Interactive Data Science. CoRR (2023)
Will Epperson, Kanit Wongsuphasawat, Allison Whilden, Fan Du, Justin Talbot
A Declarative Specification for Authoring Metrics Dashboards. CoRR (2023)
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) (2022)
April Yi Wang, Will Epperson, Robert A. DeLine, Steven Mark Drucker
Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis. CHI (2022)
Will Epperson, April Yi Wang, Robert DeLine, Steven Mark Drucker
Strategies for Reuse and Sharing among Data Scientists in Software Teams. ICSE (SEIP) (2022)
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) (2021)
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 (2021)
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)
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 (2020)
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)
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 (2019)