Ordinal Classification

Ordinal Classification is a supervised learning task in the broader category of classification problems where the target variable comprises discrete, ordered categories that exhibit a meaningful rank-based relationship, distinguishing it from nominal classification by incorporating inherent ordinality in its label structure.

555

Publications

40.5K

Citations

1.3K

Authors

684

Institutions

Publications per year

2017–2026

179

Authors

1.3K

  1. PA
    Pedro Antonio Gutiérrez

    University of Córdoba, Spain

    18 publications · 1.1K citations

    15

    h-index

  2. CH
    César Hervás‐Martínez

    University of Córdoba, Spain

    17 publications · 1.1K citations

    14

    h-index

  3. AA
    Alan Agresti

    University of Florida, United States

    11 publications · 2.9K citations

    11

    h-index

  4. JS
    Jaime S. Cardoso

    Universidade do Porto, Portugal

    8 publications · 463 citations

    8

    h-index

  5. BD
    Bernard De Baets

    Ghent University, Belgium

    8 publications · 262 citations

    8

    h-index

1–5 of 1.3K

Venues

  1. Journal of the American Statistical Association

    14 publications · 2.3K citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 11 publications · 291 citations

    11

    h-index

  3. 8

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 7 publications · 654 citations

    7

    h-index

  5. European Journal of Operational Research

    7 publications · 315 citations

    7

    h-index

1–5