Block Cross-validation
Block Cross-Validation is a temporal cross-validation technique in which data are partitioned into contiguous blocks along a time dimension, preserving temporal dependence by ensuring that training sets precede test sets chronologically to prevent data leakage.
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Publications
632
Citations
30
Authors
27
Institutions
Publications per year
2017–2026
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10
Teja Kattenborn, Felix Schiefer, Julian Frey et al. · ISPRS Open Journal of Photogrammetry and Remote Sensing · 2022 · 125 citations · Full text
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University of South Florida
Tampa, United States
2 h-index
2 publications
240 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
54 citations
Environnements et Paléoenvironnements Océaniques et Continentaux
Pessac, France
1 h-index
1 publications
84 citations
University of Central Arkansas
Conway, United States
1 h-index
1 publications
13 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
250 citations
Université de Bordeaux
Bordeaux, France
1 h-index
1 publications
84 citations

Fundação Getulio Vargas
Rio de Janeiro, Brazil
1 h-index
1 publications
16 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
84 citations
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1 publications · 31 citations
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1 publications · 20 citations
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1 publications · 125 citations
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1 publications · 16 citations
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1 publications · 35 citations
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