Supervised Classification
Supervised Classification is a machine learning paradigm in which a model learns to map input data to predefined output labels by training on a labeled dataset, where the supervision signal consists of explicitly provided input-output pairs.
2.1K
Publications
129.3K
Citations
6.9K
Authors
2.2K
Institutions
Publications per year
2017–2026
902
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6.9K
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Centre National de la Recherche Scientifique
Paris, France
26 h-index
136 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
87 publications
5.7K citations
Wuhan University
Wuhan, China
18 h-index
67 publications
2.5K citations

University of Trento
Trento, Italy
16 h-index
43 publications
3.5K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
55 publications
3.3K citations

Imperial College London
London, United Kingdom
14 h-index
44 publications
8.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
14 h-index
29 publications
1.8K citations
Tsinghua University
Beijing, China
14 h-index
39 publications
3.5K citations
1–8 of 2.2K
82 publications · 4.6K citations
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49 publications · 4.8K citations
35
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75 publications · 3.9K citations
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Repository · 70 publications · 3.4K citations
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32 publications · 2.1K citations
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