Time-aware Feature Selection
Time-Aware Feature Selection is a temporal feature engineering method that distinguishes itself by systematically identifying and retaining predictive features whose relevance is explicitly modeled or validated with respect to the temporal structure and dynamics of the underlying time-series data.
22
Publications
1.9K
Citations
81
Authors
48
Institutions
Publications per year
2017–2026
16
Parents
22
Recent advances in feature selection and its applications
Yun Li, Tao Li, Huan Liu · Knowledge and Information Systems · 2017 · 390 citations
A survey on online feature selection with streaming features
Xuegang Hu, Peng Zhou, Peipei Li et al. · Frontiers of Computer Science · 2017 · 84 citations
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48

University of Tehran
Tehran, Iran
2 h-index
5 publications
675 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
407 citations

University of Oulu
Oulu, Finland
1 h-index
1 publications
16 citations
RMIT University
Melbourne, Australia
1 h-index
1 publications
407 citations
Florida International University
Miami, United States
1 h-index
1 publications
390 citations
Institute of Robotics
Sofia, Bulgaria
1 h-index
1 publications
17 citations
Technical University of Munich
Munich, Germany
1 h-index
2 publications
34 citations

Universidade Federal de Pernambuco
Recife, Brazil
1 h-index
1 publications
429 citations
1–8 of 48
2 publications · 463 citations
2
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2 publications · 49 citations
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1 publications · 390 citations
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TIST · 1 publications · 31 citations
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1 publications · 84 citations
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