Scalable Classification
Scalable Classification is a machine learning methodology designed to efficiently handle growing datasets and feature dimensions while maintaining classification accuracy and computational tractability.
211
Publications
13.3K
Citations
573
Authors
274
Institutions
Publications per year
2017–2026
76
Parents
211
Large-scale image classification: Fast feature extraction and SVM training
Yuanqing Lin, Fengjun Lv, Shenghuo Zhu et al. · 2011 · 382 citations
Pasting Small Votes for Classification in Large Databases and On-Line
Leo Breiman · Machine Learning · 1999 · 314 citations · Full text
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274

Universidad de Granada
Granada, Spain
8 h-index
27 publications
643 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
14 publications
2K citations
Microsoft (United States)
Redmond, United States
6 h-index
15 publications
869 citations

University of Nottingham
Nottingham, United Kingdom
5 h-index
6 publications
195 citations
University of California, Irvine
Irvine, United States
5 h-index
12 publications
1.3K citations

Imperial College London
London, United Kingdom
4 h-index
8 publications
378 citations
University of Florida
Gainesville, United States
4 h-index
4 publications
274 citations

King Abdulaziz University
Jeddah, Saudi Arabia
4 h-index
7 publications
296 citations
1–8 of 274
Repository · 9 publications · 1.6K citations
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TON · 5 publications · 336 citations
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5 publications · 181 citations
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5 publications · 108 citations
5
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4 publications · 329 citations
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