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Alex Endert
Researcher at Georgia Institute of Technology
Publications - 127
Citations - 4227
Alex Endert is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Visual analytics & Visualization. The author has an hindex of 30, co-authored 122 publications receiving 3261 citations. Previous affiliations of Alex Endert include Smith College & University of Virginia.
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Proceedings ArticleDOI
Space to think: large high-resolution displays for sensemaking
TL;DR: Examining how increased space affects the way displays are regarded and used within the context of the cognitively demanding task of sensemaking finds both external memory and a semantic layer are affected.
Proceedings ArticleDOI
Semantic interaction for visual text analytics
TL;DR: In this article, the authors propose a new design space for visual analytic interaction, called semantic interaction, which seeks to enable analysts to spatially interact with models directly within the visual metaphor using interactions that derive from their analytic process, such as searching, highlighting, annotating, and repositioning documents.
Journal ArticleDOI
Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes
TL;DR: This organization is intended to serve as a framework to help researchers specify types of provenance and coordinate design knowledge across projects and can be used to guide the selection of evaluation methodology and the comparison of study outcomes in provenance research.
Journal ArticleDOI
Information visualization on large, high-resolution displays: issues, challenges, and opportunities
TL;DR: Critical design issues are presented and some of the challenges and future opportunities for designing visualizations for large, high-resolution displays are outlined and it is hoped that these issues, challenges, and opportunities will provide guidance for future research in this area.
Journal ArticleDOI
The State of the Art in Integrating Machine Learning into Visual Analytics
Alex Endert,William Ribarsky,Cagatay Turkay,B. L. William Wong,Ian T. Nabney,I. Díaz Blanco,Fabrice Rossi +6 more
TL;DR: This state‐of‐the‐art report presents a summary of the progress that has been made by highlighting and synthesizing select research advances and presents opportunities and challenges to enhance the synergy between machine learning and visual analytics for impactful future research directions.