Time-series Feature Aggregation
Time-Series Feature Aggregation is a feature engineering method that systematically summarizes sequential observations from temporal data into fixed-length, interpretable features by applying statistical or domain-specific transformations over defined time intervals.
4
Publications
109
Citations
11
Authors
8
Institutions
Publications per year
2017–2026
2
4
1–5 of 4
11
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h-index
École Polytechnique Fédérale de Lausanne, Switzerland
1 publications · 31 citations
1
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1
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1
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École Polytechnique Fédérale de Lausanne, Switzerland
1 publications · 31 citations
1
h-index
1–5 of 11
8
Goldwind (China)
Ürümqi, China
1 h-index
1 publications
32 citations
National Supercomputing Center of Tianjin
Tianjin, China
1 h-index
1 publications
32 citations

University of Wollongong
Wollongong, Australia
1 h-index
2 publications
32 citations
Idiap Research Institute
Martigny-Combe, Switzerland
1 h-index
3 publications
93 citations

National University of Defense Technology
Changsha, China
1 h-index
3 publications
96 citations
Technical University of Munich
Munich, Germany
1 h-index
1 publications
30 citations
Lancaster University
Lancaster, United Kingdom
1 h-index
1 publications
32 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
3 publications
93 citations
1–8 of 8
1 publications · 30 citations
1
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1 publications · 16 citations
1
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1 publications · 32 citations
1
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1 publications · 31 citations
1
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JOSS · 1 publications · 11 citations
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