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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Artigo de periodico
DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)
Glatt, Ruben; Silva, Felipe Leno da ; Bianchi, Reinaldo Augusto da Costa ; Reali Costa, Anna Helena
Source: Expert Systems with Applications. Unidade: EP
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 08 nov. 2025.
APA
Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Reali Costa, A. H. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420
NLM
Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
Vancouver
Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
Artigo de periodico
Combining novelty and popularity on personalised recommendations via user profile learning (2020)
Bertani, Ricardo Mitollo ; Bianchi, Reinaldo Augusto da Costa ; Reali Costa, Anna Helena
Source: Expert Systems with Applications. Unidade: EP
Assunto: ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTANI, Ricardo Mitollo e BIANCHI, Reinaldo Augusto da Costa e REALI COSTA, Anna Helena. Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, v. 146, p. 113149, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.113149. Acesso em: 08 nov. 2025.
APA
Bertani, R. M., Bianchi, R. A. da C., & Reali Costa, A. H. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149. doi:10.1016/j.eswa.2019.113149
NLM
Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
Vancouver
Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
Artigo de periodico
A scheme for high level data classification using random walk and network measures (2018)
Cupertino, Thiago Henrique; Carneiro, Murillo Guimarães; Qiusheng, Zheng; Junbao, Zhang; Liang, Zhao
Source: Expert Systems with Applications. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, GESTÃO DA INFORMAÇÃO, PASSEIOS ALEATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago Henrique et al. A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, v. 92, p. 289-303, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.09.014. Acesso em: 08 nov. 2025.
APA
Cupertino, T. H., Carneiro, M. G., Qiusheng, Z., Junbao, Z., & Liang, Z. (2018). A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, 92, 289-303. doi:10.1016/j.eswa.2017.09.014
NLM
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
Vancouver
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014

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