Event-based Features
Event-Based Features is a class of time series features derived from the temporal, structural, or statistical characteristics of discrete events, distinguished by their focus on capturing patterns associated with specific occurrences or transitions within a sequence rather than on continuous signal properties.
92
Publications
6.7K
Citations
316
Authors
157
Institutions
Publications per year
2017–2026
45
92
1–5 of 92
316
3
h-index
3
h-index
3
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Washington University in St. Louis, United States
3 publications · 111 citations
3
h-index
3
h-index
1–5 of 316
157
University of Colorado Boulder
Boulder, United States
3 h-index
9 publications
195 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
7 publications
947 citations
ETH Zurich
Zurich, Switzerland
3 h-index
10 publications
422 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
8 publications
6.8K citations
Columbia University
New York, United States
2 h-index
4 publications
563 citations

Sharif University of Technology
Tehran, Iran
2 h-index
3 publications
81 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
1.4K citations

University of Groningen
Groningen, The Netherlands
2 h-index
3 publications
63 citations
1–8 of 157
3 publications · 280 citations
3
h-index
3 publications · 296 citations
3
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3 publications · 90 citations
3
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2 publications · 95 citations
2
h-index
Conference · 2 publications · 42 citations
2
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1–5