Filtros : "Verri, Filipe Alves Neto" Limpar

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  • Source: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2843-2855, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00154-5. Acesso em: 27 abr. 2024.
    • APA

      Verri, F. A. N., Gueleri, R. A., Qiusheng, Z., Junbao, Z., & Liang, Z. (2021). Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, 230( 14-15), 2843-2855. doi:10.1140/epjs/s11734-021-00154-5
    • NLM

      Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5
    • Vancouver

      Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5
  • Source: IEEE Access. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, SEGURANÇA VEICULAR, COMPUTAÇÃO MÓVEL, SISTEMAS INTELIGENTES DE TRANSPORTES

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      KAMOI, Roger Nobuyuki et al. Platoon grouping network offloading mechanism for VANETs. IEEE Access, v. 9, p. 53936-53951, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3071085. Acesso em: 27 abr. 2024.
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      Kamoi, R. N., Pereira Júnior, L. A., Verri, F. A. N., Marcondes, C. A. C., Ferreira, C. H. G., Meneguette, R. I., & Cunha, A. M. da. (2021). Platoon grouping network offloading mechanism for VANETs. IEEE Access, 9, 53936-53951. doi:10.1109/ACCESS.2021.3071085
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      Kamoi RN, Pereira Júnior LA, Verri FAN, Marcondes CAC, Ferreira CHG, Meneguette RI, Cunha AM da. Platoon grouping network offloading mechanism for VANETs [Internet]. IEEE Access. 2021 ; 9 53936-53951.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3071085
    • Vancouver

      Kamoi RN, Pereira Júnior LA, Verri FAN, Marcondes CAC, Ferreira CHG, Meneguette RI, Cunha AM da. Platoon grouping network offloading mechanism for VANETs [Internet]. IEEE Access. 2021 ; 9 53936-53951.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3071085
  • Source: Proceedings. Conference titles: International Conference on Machine Learning and Computing - ICMLC. Unidades: FFCLRP, ICMC

    Subjects: TEORIA DA COMPUTAÇÃO, ALGORITMOS, APRENDIZADO COMPUTACIONAL

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      GAO, Xubo et al. Particle competition for multilayer network community detection. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3318299.3318320. Acesso em: 27 abr. 2024.
    • APA

      Gao, X., Zheng, Q., Verri, F. A. N., Rodrigues, R. D., & Liang, Z. (2019). Particle competition for multilayer network community detection. In Proceedings. New York: ACM. doi:10.1145/3318299.3318320
    • NLM

      Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1145/3318299.3318320
    • Vancouver

      Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1145/3318299.3318320
  • 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: 27 abr. 2024.
    • 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 2024 abr. 27 ] 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 2024 abr. 27 ] Available from: https://doi.org/10.5890/jand.2018.09.005
  • 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: 27 abr. 2024.
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      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 2024 abr. 27 ] 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 2024 abr. 27 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
  • Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidades: FFCLRP, ICMC

    Subjects: CIÊNCIA DA COMPUTAÇÃO, REDES DE COMPUTADORES, ALGORITMOS GENÉTICOS

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      VERRI, Filipe Alves Neto e TINÓS, Renato e LIANG, Zhao. Feature learning in feature–sample networks using multi-objective optimization. Proceedings. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1109/CEC.2018.8477891. Acesso em: 27 abr. 2024. , 2018
    • APA

      Verri, F. A. N., Tinós, R., & Liang, Z. (2018). Feature learning in feature–sample networks using multi-objective optimization. Proceedings. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/CEC.2018.8477891
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      Verri FAN, Tinós R, Liang Z. Feature learning in feature–sample networks using multi-objective optimization [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/CEC.2018.8477891
    • Vancouver

      Verri FAN, Tinós R, Liang Z. Feature learning in feature–sample networks using multi-objective optimization [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/CEC.2018.8477891
  • Source: ArXiv Statistics. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, ENGENHARIA ELÉTRICA

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      VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, p. 1-6, 2018Tradução . . Disponível em: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system. Acesso em: 27 abr. 2024.
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      Verri, F. A. N., Gueleri, R. A., Zheng, Q., & Liang, Z. (2018). Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, 1-6. Recuperado de https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
    • NLM

      Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2024 abr. 27 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
    • Vancouver

      Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2024 abr. 27 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
  • Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, HEURÍSTICA

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      VERRI, Filipe Alves Neto. Collective dynamics in complex networks for machine learning. 2018. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2018. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18102018-113054/. Acesso em: 27 abr. 2024.
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      Verri, F. A. N. (2018). Collective dynamics in complex networks for machine learning (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18102018-113054/
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      Verri FAN. Collective dynamics in complex networks for machine learning [Internet]. 2018 ;[citado 2024 abr. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18102018-113054/
    • Vancouver

      Verri FAN. Collective dynamics in complex networks for machine learning [Internet]. 2018 ;[citado 2024 abr. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18102018-113054/
  • Source: Annals. Conference titles: Brazilian Conference on Intelligent Systems (BRACIS). Unidade: FFCLRP

    Subjects: PASSEIOS ALEATÓRIOS, REDES COMPLEXAS

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      VERRI, Filipe Alves Neto e LIANG, Zhao. Random walk in feature-sample networks for semi-supervised classification. 2016, Anais.. Recife: IEEE, 2016. Disponível em: https://doi.org/10.1109/bracis.2016.051. Acesso em: 27 abr. 2024.
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      Verri, F. A. N., & Liang, Z. (2016). Random walk in feature-sample networks for semi-supervised classification. In Annals. Recife: IEEE. doi:10.1109/bracis.2016.051
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      Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/bracis.2016.051
    • Vancouver

      Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/bracis.2016.051
  • Source: Abstracts. Conference titles: International Conference on Nonlinear Science and Complexity. Unidade: FFCLRP

    Subjects: SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL

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      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: 27 abr. 2024.
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      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 2024 abr. 27 ] 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 2024 abr. 27 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003
  • 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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      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: 27 abr. 2024.
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      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
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      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 2024 abr. 27 ] 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 2024 abr. 27 ] Available from: https://doi.org/10.1142/S0218001416600065
  • Source: Proceedings. Conference titles: International Conference on Natural Computation (ICNC). Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL

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      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: 27 abr. 2024.
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      Urio, P. R., Verri, F. A. N., & Liang, Z. (2015). Semi-supervised learning by edge domination in complex networks. In Proceedings. Zhangjiajie: IEEE.
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      Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2024 abr. 27 ]
    • Vancouver

      Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2024 abr. 27 ]

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