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Artigo de periodico
METAFORE: algorithm selection for decomposition-based forecasting combinations (2024)
Santos, Moises Rocha dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Source: International Journal of Data Science and Analytics. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics, 2024Tradução . . Disponível em: https://doi.org/10.1007/s41060-024-00569-y. Acesso em: 15 nov. 2024.
APA
Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00569-y
NLM
Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
Vancouver
Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
Trabalho de evento
Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation (2024)
Santos, Moises Rocha dos; Carvalho, Andre Carlos Ponce de Leon Ferreira de; Soares, Carlos
Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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.pdf
NLM
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. 15 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf
Vancouver
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. 15 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf
Artigo de periodico
Micro-MetaStream: algorithm selection for time-changing data (2021)
Rossi, André Luis Debiaso ; Soares, Carlos; Souza, Bruno Feres de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, André Luis Debiaso et al. Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, v. 565, p. 262-277, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.02.075. Acesso em: 15 nov. 2024.
APA
Rossi, A. L. D., Soares, C., Souza, B. F. de, & Carvalho, A. C. P. de L. F. de. (2021). Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, 565, 262-277. doi:10.1016/j.ins.2021.02.075
NLM
Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075
Vancouver
Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075

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