Uncertainty Annotation
Uncertainty Annotation is a scholarly contribution in visual analytics that formalizes the systematic encoding of uncertain information within image data, distinguished by its focus on representing, structuring, and augmenting visual content with explicit uncertainty metadata to support interpretive reasoning and decision-making under uncertainty.
21
Publications
933
Citations
93
Authors
37
Institutions
Publications per year
2017–2026
11
21
Christos Sakaridis, Dengxin Dai, Luc Van Gool · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 178 citations · Full text
Procedural annotation of uncertain information
Andrej Cedilnik, Penny Rheingans · IEEE Visualization · 2000 · 78 citations
1–5 of 21
93
3
h-index
3
h-index
3
h-index
University of Maryland, Baltimore County, United States
2 publications · 133 citations
2
h-index
University of Maryland, Baltimore County, United States
2 publications · 133 citations
2
h-index
1–5 of 93
37
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
6 publications
200 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
4 publications
266 citations
University of Delaware
Newark, United States
1 h-index
3 publications
45 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
7 publications
119 citations

Beihang University
Beijing, China
1 h-index
1 publications
24 citations

University of Macerata
Macerata, Italy
1 h-index
4 publications
52 citations
Applied Biomathematics (United States)
Setauket-East Setauket, United States
1 h-index
5 publications
200 citations

Illinois Institute of Technology
Chicago, United States
1 h-index
2 publications
28 citations
1–8 of 37
1 publications · 67 citations
1
h-index
TPAMI · 1 publications · 178 citations
1
h-index
TVCG · 1 publications · 84 citations
1
h-index
Conference · 1 publications · 78 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5