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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
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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: 19 jun. 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 jun. 19 ] 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 jun. 19 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Trabalho de evento-anais periodico
Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons (2014)
Liang, Xiaoming; Liang, Zhao
Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIANG, Xiaoming e LIANG, Zhao. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.06.041. Acesso em: 19 jun. 2024. , 2014
APA
Liang, X., & Liang, Z. (2014). Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.06.041
NLM
Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
Vancouver
Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
Trabalho de evento-anais periodico
A semi-supervised classification technique based on interacting forces (2014)
Cupertino, Thiago H; Gueleri, Roberto; Liang, Zhao
Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e GUELERI, Roberto e LIANG, Zhao. A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.05.050. Acesso em: 19 jun. 2024. , 2014
APA
Cupertino, T. H., Gueleri, R., & Liang, Z. (2014). A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.05.050
NLM
Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
Vancouver
Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
Trabalho de evento-anais periodico
Detecting and preventing error propagation via competitive learning (2012)
Silva, Thiago Christiano; Liang, Zhao
Source: Procedia Computer Science. Conference titles: International Neural Network Society Winter Conference - INNS-WC2012. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Procedia Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2012.09.128. Acesso em: 19 jun. 2024. , 2012
APA
Silva, T. C., & Liang, Z. (2012). Detecting and preventing error propagation via competitive learning. Procedia Computer Science. Amsterdam: Elsevier. doi:10.1016/j.procs.2012.09.128
NLM
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Procedia Computer Science. 2012 ; 13 192-197.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.procs.2012.09.128
Vancouver
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Procedia Computer Science. 2012 ; 13 192-197.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1016/j.procs.2012.09.128

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