Concepedia

Classification Confidence Visualization

Classification Confidence Visualization is a visual representation method that specifically depicts the confidence levels associated with categorical predictions in classification tasks, distinguishing itself from other uncertainty visualization techniques by focusing on the probabilistic or likelihood-based certainty of assigned class labels.

4

Publications

226

Citations

7

Authors

5

Institutions

Publications per year

2017–2026

2

Parents

Publications

4

1–4 of 4

Authors

7

  1. DY
    Daren Yu

    Harbin Institute of Technology, China

    1 publications · 75 citations

    1

    h-index

  2. WD
    Włodzisław Duch

    Nicolaus Copernicus University, Poland

    1 publications · 31 citations

    1

    h-index

  3. XW
    Xiangqian Wu

    Harbin Institute of Technology, China

    1 publications · 75 citations

    1

    h-index

  4. PW
    Pei Wang

    Temple University, United States

    1 publications · 78 citations

    1

    h-index

  5. QH
    Qinghua Hu

    Tianjin University, China

    1 publications · 75 citations

    1

    h-index

1–5 of 7

Institutions

5

  1. Harbin Institute of Technology

    Harbin, China

    1 h-index

    4 publications

    300 citations

  2. Nicolaus Copernicus University

    Torun, Poland

    1 h-index

    1 publications

    31 citations

  3. Poznań University of Technology

    Poznan, Poland

    1 h-index

    4 publications

    168 citations

  4. University of California San Diego

    San Diego, United States

    1 h-index

    2 publications

    156 citations

  5. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    1 publications

    31 citations

1–5 of 5

Venues

  1. Information Sciences

    1 publications · 42 citations

    1

    h-index

  2. Pattern Recognition

    1 publications · 75 citations

    1

    h-index

1–2