Connectedness Of Validation Sets

Connectedness of Validation Sets is a metric that quantifies the degree to which validation sets across different training populations are linked through shared representational coverage, enabling comparative generalization assessment in model evaluation.

3

Publications

76

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

5

  1. DL
    David L. Weeks

    Oklahoma State University, United States

    2 publications · 55 citations

    2

    h-index

  2. DR
    Donald R. Williams

    Kent State University, United States

    1 publications · 12 citations

    1

    h-index

  3. GM
    Gota Morota

    Virginia Tech, United States

    1 publications · 21 citations

    1

    h-index

  4. DR
    Donald R. Williams

    University of California, Davis, United States

    1 publications · 43 citations

    1

    h-index

  5. MM
    Mehdi Momen

    University of Wisconsin–Madison, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. Oklahoma State University Oklahoma City

    Oklahoma City, United States

    2 h-index

    4 publications

    110 citations

  2. Shahid Bahonar University of Kerman

    Kerman, Iran

    1 h-index

    1 publications

    21 citations

  3. Virginia Tech

    Blacksburg, United States

    1 h-index

    1 publications

    21 citations

1–3 of 3

Venues

  1. Technometrics

    2 publications · 55 citations

    2

    h-index

  2. Genetics Selection Evolution

    GSE · 1 publications · 21 citations

    1

    h-index

1–2