Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS ÚTEIS E ESPECÍFICOS
ABNT
SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. 2024, Anais.. Aachen: CEUR-WS, 2024. Disponível em: https://ceur-ws.org/Vol-3808/paper4.pdf. Acesso em: 06 nov. 2024.APA
Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-3808/paper4.pdfNLM
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2024 nov. 06 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdfVancouver
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2024 nov. 06 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf