Entropy Visualization
Entropy Visualization is a model uncertainty visualization technique that specifically represents the degree of uncertainty in probabilistic predictions by mapping entropy values, derived from the probability distribution over possible outcomes, onto visual variables to enable intuitive interpretation of uncertainty across data instances or model outputs.
4
Publications
78
Citations
11
Authors
10
Institutions
Publications per year
2017–2026
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4
A novel method of visualizing q-complexity-entropy curve in the multiscale fashion
Chien-Hung Yeh, Yu Fang, Wenbin Shi et al. · Nonlinear Dynamics · 2019 · 10 citations
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Sabancı Üniversitesi
Istanbul, Türkiye
1 h-index
1 publications
14 citations
University of Oklahoma
Norman, United States
1 h-index
1 publications
10 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
10 citations

Beijing Institute of Technology
Beijing, China
1 h-index
1 publications
10 citations
University of Utah
Salt Lake City, United States
1 h-index
2 publications
74 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
10 citations

Peking University
Beijing, China
1 h-index
1 publications
10 citations
University of Michigan–Dearborn
Dearborn, United States
1 h-index
3 publications
51 citations
1–8 of 10
1 publications · 17 citations
1
h-index
1 publications · 37 citations
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1 publications · 10 citations
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