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Trabalho de evento
The strength of influence ties in stock networks: empirical analysis for portfolio selection (2023)
Ambiel, Thiago ; Castilho, Douglas; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 08 out. 2025.
APA
Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
NLM
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Vancouver
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Trabalho de evento
Feature selection using complex networks to support price trend forecast in energy markets (2023)
Castilho, Douglas; Santos, Moises Rocha dos ; Tinós, Renato ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paula, Marcos Basile Saviano de; Ladeira, Lucas; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Macedo Junior, Edmur A; Alipio, Lucas P
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Douglas et al. Feature selection using complex networks to support price trend forecast in energy markets. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191426. Acesso em: 08 out. 2025.
APA
Castilho, D., Santos, M. R. dos, Tinós, R., Carvalho, A. C. P. de L. F. de, Paula, M. B. S. de, Ladeira, L., et al. (2023). Feature selection using complex networks to support price trend forecast in energy markets. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191426
NLM
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Vancouver
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Trabalho de evento
Machine learning approach for trend prediction to improve returns on brazilian energy market (2022)
Santos, Moises Rocha dos ; Braz, Douglas Donizeti de Castilho; Carvalho, André Carlos Ponce de Leon Ferreira de ; Tinós, Renato ; Paula, Marcos Basile Saviano de; Doretto, Gabriel; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Ferreira, Lorena E; Carmo Junior, José E
Source: Proceedings. Conference titles: IEEE Latin American Conference on Computational Intelligence - LA-CCI. Unidades: ICMC, FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA, POLÍTICA DE PREÇO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Moises Rocha dos et al. Machine learning approach for trend prediction to improve returns on brazilian energy market. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/LA-CCI54402.2022.9981846. Acesso em: 08 out. 2025.
APA
Santos, M. R. dos, Braz, D. D. de C., Carvalho, A. C. P. de L. F. de, Tinós, R., Paula, M. B. S. de, Doretto, G., et al. (2022). Machine learning approach for trend prediction to improve returns on brazilian energy market. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LA-CCI54402.2022.9981846
NLM
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846
Vancouver
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846

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