Visual Analytics For Models
Visual Analytics for Models is a scholarly contribution that integrates interactive visual interfaces with analytical computational methods to facilitate the interpretation, exploration, and evaluation of mathematical models, distinguishing it from purely algorithmic or static visualization approaches by emphasizing human-in-the-loop reasoning through visual means.
41
Publications
2.6K
Citations
148
Authors
70
Institutions
Publications per year
2017–2026
30
41
A survey of visual analytics techniques for machine learning
Jun Yuan, Changjian Chen, Weikai Yang et al. · Computational Visual Media · 2020 · 260 citations · Full text
see: An R Package for Visualizing Statistical Models
Daniel Lüdecke, Indrajeet Patil, Mattan S. Ben‐Shachar et al. · The Journal of Open Source Software · 2021 · 126 citations · Full text
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70
Tsinghua University
Beijing, China
4 h-index
13 publications
2.7K citations
University of Konstanz
Konstanz, Germany
3 h-index
7 publications
280 citations
Virginia Tech
Blacksburg, United States
3 h-index
9 publications
178 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
5 publications
177 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
5 publications
142 citations

Central South University
Changsha, China
2 h-index
2 publications
273 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
273 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
5 publications
100 citations
1–8 of 70
TVCG · 5 publications · 236 citations
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JCGS · 2 publications · 193 citations
2
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2 publications · 89 citations
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Repository · 2 publications · 62 citations
2
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1 publications · 260 citations
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