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Filtros : "Expert Systems with Applications: an international journal" "HERNANDEZ, EMÍLIO DEL MORAL" Limpar

Filtros

Artigo de periodico
Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market (2022)
Felizardo, Leonardo Kanashiro ; Brandimarte, Paolo; Del Moral Hernandez, Emilio ; Reali Costa, Anna Helena ; Matsumoto, Elia Yathie; Paiva, Francisco Caio Lima; Graves, Catharine de Vita
Source: Expert Systems with Applications. Unidade: EP
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 09 nov. 2025.
APA
Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Reali Costa, A. H., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 1-13. doi:10.1016/j.eswa.2022.117259
NLM
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Reali Costa AH, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Vancouver
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Reali Costa AH, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Artigo de periodico
Forecasting US dollar exchange rate movement with computational models and human behavior (2022)
Matsumoto, Élia Yathie; Del Moral Hernandez, Emilio ; Yoshinaga, Claudia Emiko; Pinto, Afonso de Campos
Source: Expert Systems with Applications. Unidade: EP
Subjects: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 09 nov. 2025.
APA
Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
NLM
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
Vancouver
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521

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