Feature Construction
Feature Construction is the academic process of deriving new features from raw data or existing features through mathematical transformations, domain knowledge, or heuristic methods, distinguished from other feature engineering techniques by its focus on creating novel predictive attributes rather than selecting or extracting existing ones.
1.1K
Publications
72.8K
Citations
3.6K
Authors
1.2K
Institutions
Publications per year
2017–2026
558
1.1K
Wrappers for feature subset selection
Ron Kohavi, George H. John · Artificial Intelligence · 1997 · 8.9K citations
Unsupervised feature learning framework for no-reference image quality assessment
Peng Ye, Jayendra Kumar, Le Kang et al. · 2012 · 798 citations
1–5 of 1.1K
3.6K
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8
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1–5 of 3.6K
1.2K

Victoria University of Wellington
Wellington, New Zealand
18 h-index
84 publications
3.7K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
39 publications
2K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
30 publications
1.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
34 publications
1.5K citations

University of Waterloo
Waterloo, Canada
11 h-index
29 publications
3.8K citations
Wuhan University
Wuhan, China
10 h-index
29 publications
1.1K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
23 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
9 h-index
12 publications
1.2K citations
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34 publications · 1.4K citations
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29 publications · 2.7K citations
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18 publications · 1.2K citations
16
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14 publications · 1K citations
14
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13 publications · 871 citations
12
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