Classification Uncertainty Visualization
Classification Uncertainty Visualization is a type of uncertainty visualization method that specifically represents the degree of confidence or ambiguity in class membership assignments produced by classification models.
11
Publications
472
Citations
36
Authors
19
Institutions
Publications per year
2017–2026
2
11
Balázs Szigeti, Ajinkya Deogade, Barbara Webb · Journal of The Royal Society Interface · 2015 · 57 citations · Full text
1–5 of 11
36
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 43 citations
1
h-index
1
h-index
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 43 citations
1
h-index
1–5 of 36
19
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
5 publications
258 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
2 publications
91 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
5 publications
72 citations
Texas State University
San Marcos, United States
1 h-index
1 publications
86 citations

Hebei University
Baoding, China
1 h-index
1 publications
11 citations
Royal Netherlands Meteorological Institute
De Bilt, The Netherlands
1 h-index
1 publications
55 citations

University of Groningen
Groningen, The Netherlands
1 h-index
2 publications
72 citations
Charles River Analytics (United States)
Cambridge, United States
1 h-index
3 publications
129 citations
1–8 of 19
2 publications · 89 citations
2
h-index
JCEDM · 1 publications · 43 citations
1
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CAGEO · 1 publications · 55 citations
1
h-index
1 publications · 43 citations
1
h-index
1 publications · 57 citations
1
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1–5