Normalization Rules
Normalization Rules is a formal framework within the domain of Serialization Labeling that specifies systematic criteria for converting heterogeneous data representations into a consistent, standardized format to ensure interoperability, comparability, and computational efficiency across labeling processes.
150
Publications
11.9K
Citations
387
Authors
207
Institutions
Publications per year
2017–2026
32
Parents
150
Finding Optimal Normalizing Transformations via bestNormalize
The R Journal · 2021 · 475 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
7 publications
363 citations
Technical University of Denmark
Kongens Lyngby, Denmark
4 h-index
11 publications
1.3K citations

University of Manchester
Manchester, United Kingdom
3 h-index
6 publications
254 citations
Université Paris Cité
Paris, France
3 h-index
3 publications
189 citations

Universidad Carlos III de Madrid
Madrid, Spain
3 h-index
5 publications
156 citations
Vrije Universiteit Brussel
Brussels, Belgium
2 h-index
2 publications
42 citations

Imperial College London
London, United Kingdom
2 h-index
2 publications
151 citations
University College London
London, United Kingdom
2 h-index
8 publications
952 citations
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LCA · 6 publications · 489 citations
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6 publications · 223 citations
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5 publications · 126 citations
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4 publications · 430 citations
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Repository · 3 publications · 62 citations
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