Concepedia

Machine Learning Bias Correction

Machine Learning Bias Correction is a methodological framework within computational learning theory that identifies and mitigates systematic errors arising from data, algorithmic design, or model assumptions to ensure fair, accurate, and representative predictions in machine learning systems.

143

Publications

8.9K

Citations

539

Authors

268

Institutions

Publications per year

2017–2026

118

Parents

Publications

143

Learning and evaluating classifiers under sample selection bias

Bianca Zadrozny · 2004 · 815 citations

, , +15

Guest Editors' Introduction: On Applied Research in Machine Learning

Foster Provost, Ron Kohavi · Machine Learning · 1998 · 378 citations · Full text

, , +16

In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening

Jochen Sieg, Florian Flachsenberg, Matthias Rarey · Journal of Chemical Information and Modeling · 2019 · 330 citations

, , +14

Mitigating bias in machine learning for medicine

Kerstin Noëlle Vokinger, Stefan Feuerriegel, Aaron S. Kesselheim · Communications Medicine · 2021 · 252 citations · Full text

, , +15

A Framework for Understanding Unintended Consequences of Machine Learning

Harini Suresh, John V. Guttag · 2019 · 230 citations

, , +17

1–5 of 143

Authors

539

  1. JS
    Jinwoo Shin

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 66 citations

    2

    h-index

  2. SV
    Sanaz Vahdati

    Mayo Clinic, United States

    2 publications · 171 citations

    2

    h-index

  3. SE
    Stefano Ermon

    Stanford University, United States

    2 publications · 25 citations

    2

    h-index

  4. JL
    Jaeho Lee

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 66 citations

    2

    h-index

  5. ON
    Ofir Nachum

    Google (United States), United States

    2 publications · 142 citations

    2

    h-index

1–5 of 539

Institutions

268

  1. Massachusetts Institute of Technology

    Cambridge, United States

    6 h-index

    22 publications

    1.5K citations

  2. Stanford University

    Stanford, United States

    6 h-index

    10 publications

    186 citations

  3. Google (United States)

    Mountain View, United States

    5 h-index

    7 publications

    639 citations

  4. University of California, Berkeley

    Berkeley, United States

    5 h-index

    14 publications

    829 citations

  5. Microsoft (United States)

    Redmond, United States

    3 h-index

    3 publications

    171 citations

  6. Delft University of Technology

    Delft, The Netherlands

    3 h-index

    7 publications

    459 citations

  7. Princeton University

    Princeton, United States

    3 h-index

    7 publications

    260 citations

  8. University of Toronto

    Toronto, Canada

    3 h-index

    5 publications

    229 citations

1–8 of 268

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 496 citations

    11

    h-index

  2. Neurocomputing

    3 publications · 110 citations

    3

    h-index

  3. AI & Society

    3 publications · 177 citations

    3

    h-index

  4. Machine Learning

    3 publications · 260 citations

    3

    h-index

  5. Radiology Artificial Intelligence

    AI · 2 publications · 171 citations

    2

    h-index

1–5