Shapelet Features
Shapelet Features is a discriminative time series subsequence that captures distinctive shape-based patterns, distinguished by its ability to serve as a feature for classification tasks through its high similarity to specific temporal motifs within the data.
94
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6.8K
Citations
311
Authors
149
Institutions
Publications per year
2017–2026
56
94
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
A shapelet transform for time series classification
Jason Lines, Luke M. Davis, Jon Hills et al. · 2012 · 354 citations · Full text
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149
Tsinghua University
Beijing, China
6 h-index
11 publications
472 citations

Shandong Normal University
Jinan, China
5 h-index
13 publications
378 citations
University of Technology Sydney
Sydney, Australia
5 h-index
13 publications
831 citations
University of California, Riverside
Riverside, United States
4 h-index
14 publications
3.6K citations
Shandong University
Jinan, China
4 h-index
18 publications
823 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
398 citations
Université Paris-Saclay
Gif-sur-Yvette, France
3 h-index
4 publications
114 citations

Washington University in St. Louis
St Louis, United States
3 h-index
15 publications
759 citations
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Conference · 5 publications · 608 citations
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3 publications · 177 citations
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3 publications · 113 citations
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3 publications · 101 citations
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3 publications · 136 citations
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