Supervised Classification

Supervised Classification is a machine learning paradigm in which a model learns to map input data to predefined output labels by training on a labeled dataset, where the supervision signal consists of explicitly provided input-output pairs.

2.1K

Publications

129.3K

Citations

6.9K

Authors

2.2K

Institutions

Publications per year

2017–2026

902

Authors

6.9K

  1. LB
    Lorenzo Bruzzone

    University of Trento, Italy

    17 publications · 2.1K citations

    15

    h-index

  2. JA
    Jón Atli Benediktsson

    University of Iceland, Iceland

    11 publications · 591 citations

    11

    h-index

  3. GM
    Giles M. Foody

    University of Nottingham, United Kingdom

    12 publications · 1.9K citations

    11

    h-index

  4. PL
    Pedro Larrañaga

    Universidad Politécnica de Madrid, Spain

    9 publications · 426 citations

    9

    h-index

  5. DJ
    David J. Hand

    Imperial College London, United Kingdom

    8 publications · 1.8K citations

    8

    h-index

1–5 of 6.9K

Venues

  1. International Journal of Remote Sensing

    82 publications · 4.6K citations

    36

    h-index

  2. 35

    h-index

  3. Remote Sensing

    75 publications · 3.9K citations

    34

    h-index

  4. arXiv (Cornell University)

    Repository · 70 publications · 3.4K citations

    27

    h-index

  5. 22

    h-index

1–5