Aleatoric Uncertainty Visualization is a probabilistic visualization method that specifically represents irreducible variability in data arising from inherent randomness or measurement noise, distinguishing itself from other uncertainty visualizations by focusing on stochasticity that persists even with complete model knowledge.
2
Publications
62
Citations
12
Authors
5
Institutions
Publications per year
2017–2026
2
Parents
Publications
2
Viscous Fingering: A Topological Visual Analytic Approach
Jonas Lukasczyk, Garrett Aldrich, Michael Steptoe et al. · Applied Mechanics and Materials · 2017 · 37 citations · Full text
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Authors
12
- JL
1
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- RR
1
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- HL
1
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- GF
1
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- YL
1
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1–5 of 12
Institutions
5
Arizona State University
Tempe, United States
2 h-index
5 publications
149 citations
Sorbonne Université
Paris, France
1 h-index
3 publications
111 citations
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Landau, Germany
1 h-index
2 publications
74 citations
University of California System
Oakland, United States
1 h-index
2 publications
74 citations
University of Kaiserslautern
Kaiserslautern, Germany
1 h-index
2 publications
74 citations
University of Connecticut
Storrs, United States
1 publications
11 citations
1–6 of 5
Venues
- Applied Mechanics and Materials
AMM · 1 publications · 37 citations
1
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- Reliability Engineering & System Safety
1 publications · 25 citations
1
h-index
1–2