Data Resampling
Data Resampling is a data transformation technique that involves systematically重新selecting or modifying the instances within a dataset to alter its distribution, typically to address class imbalance or to improve model robustness through repeated sampling with or without replacement.
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2017–2026
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637
Reshaping Data with the<b>reshape</b>Package
Hadley Wickham · Journal of Statistical Software · 2007 · 2.9K citations · Full text
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Northwestern Polytechnical University
Xi'an, China
9 h-index
18 publications
703 citations
University of Michigan
Ann Arbor, United States
8 h-index
21 publications
1.7K citations

Delft University of Technology
Delft, The Netherlands
7 h-index
10 publications
179 citations
Harvard University
Cambridge, United States
7 h-index
9 publications
783 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
15 publications
688 citations
University of Oxford
Oxford, United Kingdom
6 h-index
19 publications
2.1K citations
ETH Zurich
Zurich, Switzerland
6 h-index
14 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
25 publications
734 citations
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18 publications · 1.4K citations
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Repository · 10 publications · 461 citations
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7 publications · 290 citations
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