Concepedia

Random Forests

Random Forests is a predictive modeling method that belongs to the ensemble learning category, distinguished by its construction of multiple decision trees during training and outputting the mode of the predictions (for classification) or mean prediction (for regression) of the individual trees to improve accuracy and control over-fitting.

5.5K

Publications

466.1K

Citations

20.6K

Authors

5.1K

Institutions

Publications per year

2017–2026

3.8K

Parents

Publications

5.5K

1–5 of 5.5K

Authors

20.6K

  1. HI
    Hemant Ishwaran

    Cleveland Clinic, United States

    20 publications · 4.1K citations

    19

    h-index

  2. AC
    Antonio Criminisi

    Microsoft Research (United Kingdom), United Kingdom

    17 publications · 2.5K citations

    16

    h-index

  3. GH
    Giles Hooker

    Cornell University, United States

    15 publications · 974 citations

    15

    h-index

  4. AB
    Anne‐Laure Boulesteix

    Ludwig-Maximilians-Universität München, Germany

    15 publications · 10K citations

    15

    h-index

  5. CS
    Carolin Strobl

    University of Zurich, Switzerland

    14 publications · 11K citations

    14

    h-index

1–5 of 20.6K

Institutions

5.1K

  1. Centre National de la Recherche Scientifique

    Paris, France

    37 h-index

    160 publications

    20.3K citations

  2. Chinese Academy of Sciences

    Beijing, China

    36 h-index

    192 publications

    14.5K citations

  3. Stanford University

    Stanford, United States

    32 h-index

    115 publications

    18.1K citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    29 h-index

    85 publications

    8.3K citations

  5. ETH Zurich

    Zurich, Switzerland

    28 h-index

    104 publications

    15.9K citations

  6. University of Washington

    Seattle, United States

    27 h-index

    88 publications

    37.2K citations

  7. University of Oxford

    Oxford, United Kingdom

    26 h-index

    91 publications

    9.4K citations

  8. Imperial College London

    London, United Kingdom

    25 h-index

    72 publications

    3.9K citations

1–8 of 5.1K

Venues

  1. Remote Sensing

    125 publications · 7.9K citations

    52

    h-index

  2. PLoS ONE

    99 publications · 10.3K citations

    45

    h-index

  3. Scientific Reports

    98 publications · 6.5K citations

    45

    h-index

  4. arXiv (Cornell University)

    Repository · 141 publications · 8.4K citations

    42

    h-index

  5. IEEE Access

    71 publications · 4.8K citations

    36

    h-index

1–5