Uncertainty Classification
Uncertainty Classification is a systematic framework in scientific visualization that categorizes the diverse forms and sources of uncertainty inherent in data and visual representations according to their nature, origin, and propagation behavior.
37
Publications
1.8K
Citations
132
Authors
60
Institutions
Publications per year
2017–2026
14
37
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang, Heesu Kim, Youngjoon Yoo et al. · 2021 · 320 citations
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60

National Laboratory of the Rockies
Golden, United States
1 h-index
2 publications
24 citations
University of Geneva
Geneva, Switzerland
1 h-index
4 publications
56 citations
Fraunhofer Institute for Digital Medicine
Bremen, Germany
1 h-index
1 publications
41 citations

University of Duisburg-Essen
Essen, Germany
1 h-index
2 publications
70 citations
University of California, Davis
Davis, United States
1 h-index
3 publications
57 citations
Constructor University
Bremen, Germany
1 h-index
3 publications
123 citations
University of Utah
Salt Lake City, United States
1 h-index
3 publications
552 citations

Swedish Meteorological and Hydrological Institute
Norrköping, Sweden
1 h-index
14 publications
336 citations
1–8 of 60
1 publications · 26 citations
1
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1 publications · 65 citations
1
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1 publications · 24 citations
1
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PRD · 1 publications · 14 citations
1
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1 publications · 35 citations
1
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1–5