Fonte: Proceedings. Nome do evento: International Workshop on Knowledge Discovery, Knowledge Management and Decision Support - Eureka. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
MALETZKE, André G et al. Time series classification using motifs and characteristics extraction: a case study on ECG databases. 2013, Anais.. Paris: Atlantis Press, 2013. Disponível em: https://doi.org/10.2991/.2013.40. Acesso em: 27 ago. 2024.APA
Maletzke, A. G., Lee, H. D., Batista, G. E. de A. P. A., Rezende, S. O., Machado, R. B., Voltolini, R. F., et al. (2013). Time series classification using motifs and characteristics extraction: a case study on ECG databases. In Proceedings. Paris: Atlantis Press. doi:10.2991/.2013.40NLM
Maletzke AG, Lee HD, Batista GE de APA, Rezende SO, Machado RB, Voltolini RF, Maciel JN, Silva F, Santos LB dos, Wu FC. Time series classification using motifs and characteristics extraction: a case study on ECG databases [Internet]. Proceedings. 2013 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.2991/.2013.40Vancouver
Maletzke AG, Lee HD, Batista GE de APA, Rezende SO, Machado RB, Voltolini RF, Maciel JN, Silva F, Santos LB dos, Wu FC. Time series classification using motifs and characteristics extraction: a case study on ECG databases [Internet]. Proceedings. 2013 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.2991/.2013.40