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Filtros : "Particle competition" Limpar

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  • Trabalho de evento

    A new particle competition model for community detection with application in functional brain networks (2021)

    Paula, Paulo Henrique Lima de; Liang, Zhao

    Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP

    Subjects: REDE NERVOSA, COGNIÇÃO, CÉREBRO, ESTÍMULOS

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    • ABNT

      PAULA, Paulo Henrique Lima de e LIANG, Zhao. A new particle competition model for community detection with application in functional brain networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/IJCNN52387.2021.9533526. Acesso em: 24 jan. 2026.

    • APA

      Paula, P. H. L. de, & Liang, Z. (2021). A new particle competition model for community detection with application in functional brain networks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN52387.2021.9533526

    • NLM

      Paula PHL de, Liang Z. A new particle competition model for community detection with application in functional brain networks [Internet]. Proceedings. 2021 ;[citado 2026 jan. 24 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533526

    • Vancouver

      Paula PHL de, Liang Z. A new particle competition model for community detection with application in functional brain networks [Internet]. Proceedings. 2021 ;[citado 2026 jan. 24 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533526

  • Dissertação (Mestrado)

    A Two-Stage Particle Competition Model for Unbalanced Community Detection in Complex Networks (2020)

    Martins, Luan Vinicius de Carvalho; Liang, Zhao (Orientador)

    Unidade: ICMC

    Subjects: REDES COMPLEXAS, DINÂMICA ESTOCÁSTICA, COMPUTAÇÃO BIOINSPIRADA

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      MARTINS, Luan Vinicius de Carvalho. A Two-Stage Particle Competition Model for Unbalanced Community Detection in Complex Networks. 2020. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20082020-101929/. Acesso em: 24 jan. 2026.

    • APA

      Martins, L. V. de C. (2020). A Two-Stage Particle Competition Model for Unbalanced Community Detection in Complex Networks (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20082020-101929/

    • NLM

      Martins LV de C. A Two-Stage Particle Competition Model for Unbalanced Community Detection in Complex Networks [Internet]. 2020 ;[citado 2026 jan. 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20082020-101929/

    • Vancouver

      Martins LV de C. A Two-Stage Particle Competition Model for Unbalanced Community Detection in Complex Networks [Internet]. 2020 ;[citado 2026 jan. 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20082020-101929/

  • 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

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      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: 24 jan. 2026.

    • 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 2026 jan. 24 ] 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 2026 jan. 24 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341

  • 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

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      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: 24 jan. 2026.

    • 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 2026 jan. 24 ] 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 2026 jan. 24 ] Available from: https://doi.org/10.5890/jand.2018.09.005

  • 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

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    • 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: 24 jan. 2026.

    • 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 2026 jan. 24 ] 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 2026 jan. 24 ] Available from: https://doi.org/10.1142/S0218001416600065

  • Tese (Doutorado)

    Machine learning in complex networks: modeling, analysis, and applications (2012)

    Silva, Thiago Christiano; Liang, Zhao (Orientador)

    Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL (MODELAGEM;ANÁLISE;APLICAÇÕES), REDES COMPLEXAS, REDES DE COMPUTADORES, SISTEMAS HÍBRIDOS

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    • ABNT

      SILVA, Thiago Christiano. Machine learning in complex networks: modeling, analysis, and applications. 2012. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2012. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/. Acesso em: 24 jan. 2026.

    • APA

      Silva, T. C. (2012). Machine learning in complex networks: modeling, analysis, and applications (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/

    • NLM

      Silva TC. Machine learning in complex networks: modeling, analysis, and applications [Internet]. 2012 ;[citado 2026 jan. 24 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/

    • Vancouver

      Silva TC. Machine learning in complex networks: modeling, analysis, and applications [Internet]. 2012 ;[citado 2026 jan. 24 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/
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