Attribute Detection

Attribute Detection is a methodological framework within discrimination testing that identifies and extracts specific attributes or features indicative of discriminatory behavior in systems or processes, distinguishing it from broader fairness assessment techniques by focusing on the detection of attribute-level disparities.

61

Publications

5.6K

Citations

201

Authors

83

Institutions

Publications per year

2017–2026

34

Authors

201

  1. YC
    Yanying Chen

    National Taiwan University, Taiwan

    2 publications · 21 citations

    2

    h-index

  2. EV
    Eduardo Valle

    Universidade Estadual de Campinas (UNICAMP), Brazil

    2 publications · 36 citations

    2

    h-index

  3. MM
    Margaret Mitchell

    Google (United States), United States

    2 publications · 99 citations

    2

    h-index

  4. FP
    Fábio Perez

    2 publications · 36 citations

    2

    h-index

  5. CT
    Chiat-Pin Tay

    Nanyang Technological University, Singapore

    2 publications · 386 citations

    2

    h-index

1–5 of 201

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 1.3K citations

    9

    h-index

  2. Pattern Recognition Letters

    2 publications · 72 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Research in Science Teaching

    JRST · 1 publications · 30 citations

    1

    h-index

  5. Revue Française de Sociologie

    1 publications · 1.6K citations

    1

    h-index

1–5