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Trabalho de evento-anais periodico
Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)
Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong
Source: Proceedings. Conference titles: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC
Subjects: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 23 maio 2024. , 2023
APA
Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
NLM
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 maio 23 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Vancouver
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 maio 23 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Trabalho de evento
A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions (2020)
Zuñiga, Esteban Wilfredo Vilca ; Liang, Zhao
Source: Proceedings. Conference titles: International Conference of Digital Transformation and Innovation Technology - Incodtrin. Unidade: FFCLRP
Subjects: MATEMÁTICA APLICADA, APRENDIZADO COMPUTACIONAL, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUÑIGA, Esteban Wilfredo Vilca e LIANG, Zhao. A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. 2020, Anais.. Manchester: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://www.researchgate.net/publication/344411081_A_new_network-base_high-level_data_classification_methodology_Quipus_by_modeling_attribute-attribute_interactions. Acesso em: 23 maio 2024.
APA
Zuñiga, E. W. V., & Liang, Z. (2020). A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. In Proceedings. Manchester: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://www.researchgate.net/publication/344411081_A_new_network-base_high-level_data_classification_methodology_Quipus_by_modeling_attribute-attribute_interactions
NLM
Zuñiga EWV, Liang Z. A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions [Internet]. Proceedings. 2020 ;[citado 2024 maio 23 ] Available from: https://www.researchgate.net/publication/344411081_A_new_network-base_high-level_data_classification_methodology_Quipus_by_modeling_attribute-attribute_interactions
Vancouver
Zuñiga EWV, Liang Z. A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions [Internet]. Proceedings. 2020 ;[citado 2024 maio 23 ] Available from: https://www.researchgate.net/publication/344411081_A_new_network-base_high-level_data_classification_methodology_Quipus_by_modeling_attribute-attribute_interactions
Trabalho de evento
A network-based high-level data classification algorithm using betweenness centrality (2020)
Zuñiga, Esteban Wilfredo Vilca ; Liang, Zhao
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: FFCLRP
Subjects: MATEMÁTICA APLICADA, ALGORITMOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUÑIGA, Esteban Wilfredo Vilca e LIANG, Zhao. A network-based high-level data classification algorithm using betweenness centrality. 2020, Anais.. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.5753/eniac.2020.12128. Acesso em: 23 maio 2024.
APA
Zuñiga, E. W. V., & Liang, Z. (2020). A network-based high-level data classification algorithm using betweenness centrality. In Anais. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.5753/eniac.2020.12128
NLM
Zuñiga EWV, Liang Z. A network-based high-level data classification algorithm using betweenness centrality [Internet]. Anais. 2020 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.5753/eniac.2020.12128
Vancouver
Zuñiga EWV, Liang Z. A network-based high-level data classification algorithm using betweenness centrality [Internet]. Anais. 2020 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.5753/eniac.2020.12128

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