Diversity Sampling

Diversity Sampling is a methodological approach in active learning that selects samples for labeling based on their representativeness and coverage of the underlying data distribution, thereby ensuring maximal informativeness through the inclusion of diverse and non-redundant instances.

26

Publications

1.7K

Citations

102

Authors

58

Institutions

Publications per year

2017–2026

16

Variants

Diversity-based Sampling

Authors

102

  1. AT
    Alexander Tropsha

    University of North Carolina at Chapel Hill, United States

    3 publications · 760 citations

    3

    h-index

  2. AG
    Alexander Golbraikh

    University of North Carolina at Chapel Hill, United States

    2 publications · 740 citations

    2

    h-index

  3. NS
    Noah Schaefferkoetter

    Louisiana State University Health Sciences Center New Orleans, United States

    1 publications · 38 citations

    1

    h-index

  4. JR
    James R. LaBonte

    Salem Hospital, United States

    1 publications · 72 citations

    1

    h-index

  5. QJ
    Qiuye Jin

    Shanghai Medical College of Fudan University, China

    1 publications · 51 citations

    1

    h-index

1–5 of 102

Venues

  1. Journal of Education and Training Studies

    JETS · 1 publications · 50 citations

    1

    h-index

  2. Knowledge-Based Systems

    1 publications · 51 citations

    1

    h-index

  3. 1

    h-index

  4. Frontiers in Psychology

    1 publications · 39 citations

    1

    h-index

  5. Journal of Computer-Aided Molecular Design

    1 publications · 493 citations

    1

    h-index

1–5