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.
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183
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96
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2017–2026
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Assessment of PLSDA cross validation
Johan A. Westerhuis, Huub C. J. Hoefsloot, Suzanne Smit et al. · Metabolomics · 2008 · 1.4K citations · Full text
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Norwegian University of Life Sciences
Ås, Norway
2 h-index
9 publications
537 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
205 citations
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
4 publications
272 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
3 publications
714 citations
Unilever (Netherlands)
Rotterdam, Netherlands
2 h-index
13 publications
6K citations
Yale University
New Haven, United States
2 h-index
13 publications
494 citations
General Electric (Norway)
Oslo, Norway
2 h-index
2 publications
217 citations
Arizona State University
Tempe, United States
2 h-index
4 publications
214 citations
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2 publications · 81 citations
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JPR · 2 publications · 206 citations
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2 publications · 214 citations
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MDM · 2 publications · 43 citations
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1 publications · 31 citations
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