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

Authors

36

  1. XW
    Xizhao Wang

    Shenzhen University, China

    1 publications · 11 citations

    1

    h-index

  2. AM
    Ann M. Bisantz

    University at Buffalo, State University of New York, United States

    1 publications · 43 citations

    1

    h-index

  3. BW
    Barbara Webb

    University of Edinburgh, United Kingdom

    1 publications · 57 citations

    1

    h-index

  4. HG
    Hassan Ghassemian

    Tarbiat Modares University, Iran

    1 publications · 61 citations

    1

    h-index

  5. DC
    Dapeng Cao

    University at Buffalo, State University of New York, United States

    1 publications · 43 citations

    1

    h-index

1–5 of 36

Venues

  1. International Journal of Remote Sensing

    2 publications · 89 citations

    2

    h-index

  2. Journal of Cognitive Engineering and Decision Making

    JCEDM · 1 publications · 43 citations

    1

    h-index

  3. Computers & Geosciences

    CAGEO · 1 publications · 55 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of The Royal Society Interface

    1 publications · 57 citations

    1

    h-index

1–5