Interval-based Classification
Interval-Based Classification is a time series classification approach that represents the time series as a set of sub-intervals and extracts discriminative features from each interval to distinguish between different classes based on localized temporal patterns.
149
Publications
9.2K
Citations
365
Authors
199
Institutions
Publications per year
2017–2026
55
Parents
149
Measuring concurrent adherence to multiple related medications.
Niteesh K. Choudhry, William H. Shrank, Raisa Levin et al. · PubMed · 2009 · 337 citations · Full text
José Sanz, Dario Bernardo, Francisco Herrera et al. · IEEE Transactions on Fuzzy Systems · 2014 · 171 citations · Full text
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Universidad Pública de Navarra (UPNA)
Pamplona, Spain
7 h-index
23 publications
2.1K citations

Universidade Federal de Pernambuco
Recife, Brazil
6 h-index
15 publications
450 citations

Polish Academy of Sciences
Warsaw, Poland
6 h-index
8 publications
278 citations
Systems Research Institute
Warsaw, Poland
6 h-index
8 publications
278 citations
Osaka Prefecture University
Sakai, Japan
5 h-index
13 publications
258 citations

University of Alberta
Edmonton, Canada
5 h-index
5 publications
210 citations
Ben-Gurion University of the Negev
Beersheba, Israel
4 h-index
6 publications
288 citations

Universidad de Granada
Granada, Spain
3 h-index
3 publications
327 citations
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TFS · 6 publications · 483 citations
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3 publications · 118 citations
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3 publications · 91 citations
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