Temporal Imputation
Temporal Imputation is a temporal feature engineering technique that specifically addresses the restoration of missing or irregularly sampled data points in time series by leveraging temporal dependencies and structural patterns unique to chronological sequences.
29
Publications
799
Citations
113
Authors
56
Institutions
Publications per year
2017–2026
21
Parents
29
A Kriging based spatiotemporal approach for traffic volume data imputation
Jianjiang Yang, Lee D. Han, Xiaohan Liu et al. · PLoS ONE · 2018 · 48 citations · Full text
1–5 of 29
113
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State Research Center of Virology and Biotechnology VECTOR, Russia
1 publications · 11 citations
1
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1
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1
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1–5 of 113
56
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
5 publications
196 citations

The University of Queensland
Brisbane, Australia
2 h-index
5 publications
116 citations

South China University of Technology
Guangzhou, China
2 h-index
7 publications
204 citations

Hunan University
Changsha, China
1 h-index
3 publications
96 citations
Tongji University
Shanghai, China
1 h-index
2 publications
48 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
4 publications
56 citations
China Electric Power Research Institute
Beijing, China
1 h-index
3 publications
72 citations

Southern University of Science and Technology
Shenzhen, China
1 h-index
3 publications
33 citations
1–8 of 56
Repository · 2 publications · 73 citations
2
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1 publications · 12 citations
1
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1 publications · 32 citations
1
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1 publications · 21 citations
1
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1 publications · 30 citations
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