Variable-length Time Series Classification
Variable-Length Time Series Classification is a time series classification task characterized by the requirement to categorize temporal sequences that exhibit varying lengths in duration, distinguishing it from standard time series classification by explicitly addressing the heterogeneity in sequence length.
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The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, Jason Lines et al. · arXiv (Cornell University) · 2018 · 96 citations · Full text
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy et al. · IEEE Transactions on Intelligent Transportation Systems · 2021 · 77 citations
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University of California San Diego
San Diego, United States
2 h-index
3 publications
79 citations

Indian Institute of Technology Madras
Chennai, India
2 h-index
4 publications
68 citations
University of Iowa
Iowa City, United States
1 h-index
1 publications
12 citations

École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
34 citations
University of California, Irvine
Irvine, United States
1 h-index
3 publications
72 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
153 citations

Southeast University
Nanjing, China
1 h-index
4 publications
52 citations
University of Canberra
Canberra, Australia
1 h-index
1 publications
24 citations
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Repository · 4 publications · 235 citations
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