Object Sampling

Object Sampling is a scholarly contribution that constitutes a method, model, framework, theory, construct, dataset, task, or metric specifically designed to represent or select instances within a domain for measurement or analysis under the broader topic of Object of Measurement.

9

Publications

304

Citations

18

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

18

  1. PG
    Pierre Gy

    Centre Hospitalier de Cannes, France

    2 publications · 76 citations

    2

    h-index

  2. KC
    Kerkil Choi

    Duke University, United States

    1 publications · 35 citations

    1

    h-index

  3. DJ
    David J. Brady

    Duke University, United States

    1 publications · 35 citations

    1

    h-index

  4. FJ
    Freek J. Beekman

    University Medical Center Utrecht, Netherlands

    1 publications · 18 citations

    1

    h-index

  5. JT
    Jun Tanida

    The University of Osaka, Japan

    1 publications · 35 citations

    1

    h-index

1–5 of 18

Venues

  1. 2

    h-index

  2. Journal of Neuroscience

    1 publications · 42 citations

    1

    h-index

  3. Psychological Bulletin

    1 publications · 25 citations

    1

    h-index

  4. Applied Optics

    1 publications · 18 citations

    1

    h-index

  5. Smart Agricultural Technology

    1 publications · 37 citations

    1

    h-index

1–5