Filtros : "Liang, Zhao" "Springer" "ICMC" Removidos: "PROCESSAMENTO DE IMAGENS" "Biometrical Journal" Limpar

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  • Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC

    Assunto: REDES COMPLEXAS

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    • ABNT

      MARTINS, Luan Vinicius Carvalho e LIANG, Zhao. Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_22. Acesso em: 30 ago. 2024. , 2020
    • APA

      Martins, L. V. C., & Liang, Z. (2020). Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_22
    • NLM

      Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
    • Vancouver

      Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
  • Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, FFCLRP

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      COLLIRI, Tiago Santos e DELBEM, Alexandre Cláudio Botazzo e LIANG, Zhao. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_27. Acesso em: 30 ago. 2024. , 2020
    • APA

      Colliri, T. S., Delbem, A. C. B., & Liang, Z. (2020). Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_27
    • NLM

      Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27
    • Vancouver

      Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27
  • Source: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecomunications Engineering - LNICST. Conference titles: International Conference on Complex Science - COMPLEX. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES

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    • ABNT

      BREVE, Fabricio e LIANG, Zhao e QUILES, Marcos. Particle competition in complex networks for semi-supervised classification. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecomunications Engineering - LNICST. Berlin: Springer. Disponível em: https://doi.org/10.1007/978-3-642-02466-5_14. Acesso em: 30 ago. 2024. , 2009
    • APA

      Breve, F., Liang, Z., & Quiles, M. (2009). Particle competition in complex networks for semi-supervised classification. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecomunications Engineering - LNICST. Berlin: Springer. doi:10.1007/978-3-642-02466-5_14
    • NLM

      Breve F, Liang Z, Quiles M. Particle competition in complex networks for semi-supervised classification [Internet]. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecomunications Engineering - LNICST. 2009 ; 4 163-174.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-642-02466-5_14
    • Vancouver

      Breve F, Liang Z, Quiles M. Particle competition in complex networks for semi-supervised classification [Internet]. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecomunications Engineering - LNICST. 2009 ; 4 163-174.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/978-3-642-02466-5_14
  • Source: Lectures Notes in Computer Science. Conference titles: Advances in Natural Computation: First International Conference. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      LIANG, Zhao e DAMIANCE JUNIOR, Antonio P G e CARVALHO, André Carlos Ponce de Leon Ferreira de. A self-organized network for data clustering. Lectures Notes in Computer Science. Heidelberg: Springer. Disponível em: http://springer.lib.tsinghua.edu.cn/(osjebo55xpdpd3ngyau0xbqz)/app/home/contribution.asp?referrer=parent&backto=issue,158,169;journal,105,2245;linkingpublicationresults,1:105633,1. Acesso em: 30 ago. 2024. , 2005
    • APA

      Liang, Z., Damiance Junior, A. P. G., & Carvalho, A. C. P. de L. F. de. (2005). A self-organized network for data clustering. Lectures Notes in Computer Science. Heidelberg: Springer. Recuperado de http://springer.lib.tsinghua.edu.cn/(osjebo55xpdpd3ngyau0xbqz)/app/home/contribution.asp?referrer=parent&backto=issue,158,169;journal,105,2245;linkingpublicationresults,1:105633,1
    • NLM

      Liang Z, Damiance Junior APG, Carvalho ACP de LF de. A self-organized network for data clustering [Internet]. Lectures Notes in Computer Science. 2005 ; 3610[citado 2024 ago. 30 ] Available from: http://springer.lib.tsinghua.edu.cn/(osjebo55xpdpd3ngyau0xbqz)/app/home/contribution.asp?referrer=parent&backto=issue,158,169;journal,105,2245;linkingpublicationresults,1:105633,1
    • Vancouver

      Liang Z, Damiance Junior APG, Carvalho ACP de LF de. A self-organized network for data clustering [Internet]. Lectures Notes in Computer Science. 2005 ; 3610[citado 2024 ago. 30 ] Available from: http://springer.lib.tsinghua.edu.cn/(osjebo55xpdpd3ngyau0xbqz)/app/home/contribution.asp?referrer=parent&backto=issue,158,169;journal,105,2245;linkingpublicationresults,1:105633,1

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