Applying prototype selection and abstraction algorithms for efficient time-series classification

Stefanos OugiaroglouLeonidas KaramitopoulosChristos TatoglouGeorgios EvangelidisDimitris A. Dervos2024-06-172024-06-172015https://dspace.iee.ihu.gr/handle/123456789/9652https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008391765&doi=10.1007%2f978-3-319-09903-3_16&partnerID=40&md5=1d5a8f399d0180b97432a86edb6818b1Applying prototype selection and abstraction algorithms for efficient time-series classificationArtificial Neural Networks - Methods and Applications in Bio-/Neuroinformaticsconference-paper