Meta-Feature Learning is a meta-learning approach that discovers or constructs descriptive attributes of learning tasks or datasets to enhance model adaptation, selection, or hyperparameter tuning across domains.
140
Publications
6.3K
Citations
620
Authors
248
Institutions
Publications per year
2017–2026
116
Parents
Publications
140
Comprehensive ensemble in QSAR prediction for drug discovery
Sunyoung Kwon, Ho Bae, Jeonghee Jo et al. · BMC Bioinformatics · 2019 · 243 citations · Full text
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection
Wenda Zhao, Shigeng Xie, Fan Zhao et al. · 2023 · 178 citations
Feature-Weighted Linear Stacking
Joseph Sill, G. Takács, Lester Mackey et al. · ArXiv.org · 2009 · 172 citations · Full text
1–5 of 140
Authors
620
- MA
3
h-index
- SC
3
h-index
- TC
3
h-index
- YL
2
h-index
- AC
2
h-index
1–5 of 620
Institutions
248
Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
588 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
8 publications
257 citations
Shanghai Jiao Tong University
Shanghai, China
5 h-index
18 publications
380 citations
Zhejiang University
Hangzhou, China
4 h-index
12 publications
391 citations
Xidian University
Xi'an, China
4 h-index
15 publications
905 citations
University of Technology Sydney
Sydney, Australia
4 h-index
8 publications
504 citations
Sun Yat-sen University
Guangzhou, China
3 h-index
8 publications
705 citations
Harbin Institute of Technology
Harbin, China
3 h-index
17 publications
423 citations
1–8 of 248
Venues
- arXiv (Cornell University)
Repository · 10 publications · 216 citations
10
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- Medical Image Analysis
4 publications · 134 citations
4
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- Knowledge-Based Systems
4 publications · 238 citations
4
h-index
- IEEE Transactions on Image Processing
4 publications · 244 citations
4
h-index
- IEEE Transactions on Geoscience and Remote Sensing
4 publications · 247 citations
4
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1–5