Shapelet-based Classification
Shapelet-Based Classification is a time series classification method that identifies and utilizes discriminative subsequences, known as shapelets, which distinguish classes by their presence, absence, or proximity within the series.
95
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8.2K
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251
Authors
116
Institutions
Publications per year
2017–2026
53
Parents
95
Lexiang Ye, Eamonn Keogh · 2009 · 963 citations
Classification of time series by shapelet transformation
Jon Hills, Jason Lines, Edgaras Baranauskas et al. · Data Mining and Knowledge Discovery · 2013 · 526 citations
Detecting Pedestrians by Learning Shapelet Features
Payam Sabzmeydani, Greg Mori · 2007 · 512 citations
Learning time-series shapelets
Josif Grabocka, Nicolas Schilling, Martin Wistuba et al. · 2014 · 459 citations
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116
Shandong University
Jinan, China
5 h-index
22 publications
919 citations
University of Technology Sydney
Sydney, Australia
5 h-index
13 publications
831 citations

University of East Anglia
Norwich, United Kingdom
4 h-index
17 publications
6K citations
University of California, Riverside
Riverside, United States
4 h-index
7 publications
3.6K citations

Shandong Normal University
Jinan, China
4 h-index
8 publications
298 citations
University of Hildesheim
Hildesheim, Germany
3 h-index
12 publications
2.3K citations

Stockholm University
Stockholm, Sweden
3 h-index
9 publications
675 citations
Shandong University of Science and Technology
Qingdao, China
3 h-index
9 publications
243 citations
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Conference · 5 publications · 345 citations
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Repository · 4 publications · 567 citations
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3 publications · 1.1K citations
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3 publications · 115 citations
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3 publications · 113 citations
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