Cross-model Validation

Cross-Model Validation is a methodological procedure in computational or theoretical research that belongs to the class of validation techniques, distinguished by its systematic evaluation of a model’s outputs, assumptions, or predictions against those of another independently developed model to assess consistency, generalizability, or robustness across differing architectural or inferential frameworks.

48

Publications

4.4K

Citations

183

Authors

96

Institutions

Publications per year

2017–2026

9

Authors

183

  1. FW
    Frank Westad

    Norwegian University of Science and Technology, Norway

    3 publications · 352 citations

    3

    h-index

  2. AK
    Age K. Smilde

    University of Amsterdam, Netherlands

    3 publications · 2K citations

    3

    h-index

  3. JA
    Johan A. Westerhuis

    University of Amsterdam, Netherlands

    2 publications · 1.6K citations

    2

    h-index

  4. HC
    Huub C. J. Hoefsloot

    University of Amsterdam, Netherlands

    2 publications · 1.6K citations

    2

    h-index

  5. JV
    John van Duynhoven

    Unilever (Netherlands), Netherlands

    2 publications · 1.6K citations

    2

    h-index

1–5 of 183

Venues

  1. Environmental Science & Technology

    2 publications · 81 citations

    2

    h-index

  2. Journal of Proteome Research

    JPR · 2 publications · 206 citations

    2

    h-index

  3. 2

    h-index

  4. Medical Decision Making

    MDM · 2 publications · 43 citations

    2

    h-index

  5. Fisheries Research

    1 publications · 31 citations

    1

    h-index

1–5