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W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets.
Li, Kenan; Deng, Huiyu; Morrison, John; Habre, Rima; Franklin, Meredith; Chiang, Yao-Yi; Sward, Katherine; Gilliland, Frank D; Ambite, José Luis; Eckel, Sandrah P.
Afiliación
  • Li K; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA.
  • Deng H; Spatial Sciences Institute, University of Southern California, Los Angeles, CA 90089, USA.
  • Morrison J; Applied AI and Data Science, City of Hope National Medical Center, Duarte, CA 91010, USA.
  • Habre R; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA.
  • Franklin M; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA.
  • Chiang YY; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA.
  • Sward K; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
  • Gilliland FD; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA.
  • Ambite JL; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA.
  • Eckel SP; Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA.
Sensors (Basel) ; 21(17)2021 Aug 28.
Article en En | MEDLINE | ID: mdl-34502692
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos