Feature Synthesis
Feature Synthesis is a domain-specific feature construction technique that systematically generates new features by combining, transforming, or deriving existing ones through principled operations to enhance representational power in machine learning models.
105
Publications
34.4K
Citations
296
Authors
131
Institutions
Publications per year
2017–2026
49
105
A conceptual basis for feature engineering
Carlton Reid Turner, Alfonso Fuggetta, Luigi Lavazza et al. · Journal of Systems and Software · 1999 · 281 citations
An empirical analysis of feature engineering for predictive modeling
2016 · 178 citations · Full text
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University of California, Riverside
Riverside, United States
4 h-index
6 publications
487 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
11 publications
684 citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
342 citations
Inception Institute of Artificial Intelligence
Abu Dhabi, United Arab Emirates
3 h-index
8 publications
408 citations

Peking University
Beijing, China
3 h-index
4 publications
190 citations
Université de Rennes
Rennes, France
3 h-index
8 publications
320 citations

Victoria University of Wellington
Wellington, New Zealand
3 h-index
10 publications
169 citations

King Saud University
Riyadh, Saudi Arabia
2 h-index
4 publications
440 citations
1–8 of 131
Repository · 7 publications · 233 citations
7
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TPAMI · 5 publications · 29.4K citations
5
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2 publications · 123 citations
2
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2 publications · 35 citations
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2 publications · 61 citations
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