Santos, Moises Rocha dos 
; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Fonte: Proceedings. Nome do evento: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS ÚTEIS E ESPECÍFICOS
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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: 09 nov. 2025.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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf
