Ethnicity Classification Accuracy

Ethnicity Classification Accuracy is a metric that quantifies the correctness of assigned ethnic labels in a classification system relative to ground-truth ethnic identities, distinguishing it from other evaluation measures by specifically reflecting the precision and reliability of ethnicity prediction outcomes.

65

Publications

3.4K

Citations

249

Authors

122

Institutions

Publications per year

2017–2026

23

Authors

249

  1. YW
    Yunhong Wang

    Beihang University, China

    3 publications · 78 citations

    3

    h-index

  2. DH
    Di Huang

    Beihang University, China

    2 publications · 60 citations

    2

    h-index

  3. SL
    Suriyan Laohaprapanon

    2 publications · 182 citations

    2

    h-index

  4. HD
    Huaxiong Ding

    École Centrale de Lyon, France

    2 publications · 60 citations

    2

    h-index

  5. DB
    Dale Bramley

    University of Auckland, New Zealand

    2 publications · 41 citations

    2

    h-index

1–5 of 249

Venues

  1. PubMed

    Repository · 9 publications · 355 citations

    9

    h-index

  2. Journal of Epidemiology & Community Health

    3 publications · 223 citations

    3

    h-index

  3. Image and Vision Computing

    3 publications · 130 citations

    3

    h-index

  4. PLoS ONE

    2 publications · 66 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 182 citations

    2

    h-index

1–5