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Artigo de periodico
Advantages of edge-centric collective dynamics in machine learning tasks (2018)
Verri, Filipe Alves Neto ; Urio, Paulo Roberto ; Zhao, Liang
Source: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC
Subjects: PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto e URIO, Paulo Roberto e ZHAO, Liang. Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, v. 7, n. 3, p. 269-285, 2018Tradução . . Disponível em: https://doi.org/10.5890/jand.2018.09.005. Acesso em: 01 dez. 2025.
APA
Verri, F. A. N., Urio, P. R., & Zhao, L. (2018). Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, 7( 3), 269-285. doi:10.5890/jand.2018.09.005
NLM
Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2025 dez. 01 ] Available from: https://doi.org/10.5890/jand.2018.09.005
Vancouver
Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2025 dez. 01 ] Available from: https://doi.org/10.5890/jand.2018.09.005
Artigo de periodico
Network unfolding map by vertex-edge dynamics modeling (2018)
Verri, Filipe Alves Neto; Urio, Paulo Roberto; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: REDES NEURAIS, REDES COMPLEXAS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto e URIO, Paulo Roberto e LIANG, Zhao. Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 2, p. 405-418, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2016.2626341. Acesso em: 01 dez. 2025.
APA
Verri, F. A. N., Urio, P. R., & Liang, Z. (2018). Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, 29( 2), 405-418. doi:10.1109/TNNLS.2016.2626341
NLM
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Vancouver
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Dissertação (Mestrado)
Complex network component unfolding using a particle competition technique (2017)
Urio, Paulo Roberto; Liang, Zhao (Orientador)
Unidade: ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URIO, Paulo Roberto. Complex network component unfolding using a particle competition technique. 2017. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2017. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/. Acesso em: 01 dez. 2025.
APA
Urio, P. R. (2017). Complex network component unfolding using a particle competition technique (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/
NLM
Urio PR. Complex network component unfolding using a particle competition technique [Internet]. 2017 ;[citado 2025 dez. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/
Vancouver
Urio PR. Complex network component unfolding using a particle competition technique [Internet]. 2017 ;[citado 2025 dez. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/
Trabalho de evento-resumo
Features of edge-centric collective dynamics in machine learning tasks (2016)
Liang, Zhao; Verri, Filipe Alves Neto; Urio, Paulo Roberto
Source: Abstracts. Conference titles: International Conference on Nonlinear Science and Complexity. Unidade: FFCLRP
Subjects: SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIANG, Zhao e VERRI, Filipe Alves Neto e URIO, Paulo Roberto. Features of edge-centric collective dynamics in machine learning tasks. 2016, Anais.. São José dos Campos: INPE, 2016. Disponível em: https://doi.org/10.20906/cps/nsc2016-0003. Acesso em: 01 dez. 2025.
APA
Liang, Z., Verri, F. A. N., & Urio, P. R. (2016). Features of edge-centric collective dynamics in machine learning tasks. In Abstracts. São José dos Campos: INPE. doi:10.20906/cps/nsc2016-0003
NLM
Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003
Vancouver
Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003
Artigo de periodico
Semi-Supervised classification by particle competition in complex network’s edges (2016)
Urio, Paulo Roberto; Verri, Filipe Alves Neto; Liang, Zhao
Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA), PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URIO, Paulo Roberto e VERRI, Filipe Alves Neto e LIANG, Zhao. Semi-Supervised classification by particle competition in complex network’s edges. International Journal of Pattern Recognition and Artificial Intelligence, v. 30, n. 9, 2016Tradução . . Disponível em: https://doi.org/10.1142/S0218001416600065. Acesso em: 01 dez. 2025.
APA
Urio, P. R., Verri, F. A. N., & Liang, Z. (2016). Semi-Supervised classification by particle competition in complex network’s edges. International Journal of Pattern Recognition and Artificial Intelligence, 30( 9). doi:10.1142/S0218001416600065
NLM
Urio PR, Verri FAN, Liang Z. Semi-Supervised classification by particle competition in complex network’s edges [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2016 ; 30( 9):[citado 2025 dez. 01 ] Available from: https://doi.org/10.1142/S0218001416600065
Vancouver
Urio PR, Verri FAN, Liang Z. Semi-Supervised classification by particle competition in complex network’s edges [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2016 ; 30( 9):[citado 2025 dez. 01 ] Available from: https://doi.org/10.1142/S0218001416600065
Trabalho de evento
Semi-supervised learning by edge domination in complex networks (2015)
Urio, Paulo Roberto; Verri, Filipe Alves Neto; Liang, Zhao
Source: Proceedings. Conference titles: International Conference on Natural Computation (ICNC). Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URIO, Paulo Roberto e VERRI, Filipe Alves Neto e LIANG, Zhao. Semi-supervised learning by edge domination in complex networks. 2015, Anais.. Zhangjiajie: IEEE, 2015. . Acesso em: 01 dez. 2025.
APA
Urio, P. R., Verri, F. A. N., & Liang, Z. (2015). Semi-supervised learning by edge domination in complex networks. In Proceedings. Zhangjiajie: IEEE.
NLM
Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2025 dez. 01 ]
Vancouver
Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2025 dez. 01 ]

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