Filtros : "Liang, Zhao" "Silva, Thiago C" "ICMC" Removidos: "PROCESSAMENTO DE IMAGENS" "Biometrical Journal" Limpar

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  • Source: Neurocomputing. Unidades: FFCLRP, ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE OBJETOS

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    • ABNT

      BENICASA, Alcides X et al. An object-based visual selection framework. Neurocomputing, v. 180, p. 35-54, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.10.111. Acesso em: 30 ago. 2024.
    • APA

      Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2016). An object-based visual selection framework. Neurocomputing, 180, 35-54. doi:10.1016/j.neucom.2015.10.111
    • NLM

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
    • Vancouver

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL

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      BENICASA, Alcides X et al. An object-based visual selection model combining physical features and memory. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.50. Acesso em: 30 ago. 2024.
    • APA

      Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2014). An object-based visual selection model combining physical features and memory. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.50
    • NLM

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection model combining physical features and memory [Internet]. Proceedings. 2014 ;[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/BRACIS.2014.50
    • Vancouver

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection model combining physical features and memory [Internet]. Proceedings. 2014 ;[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/BRACIS.2014.50
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SILVA, Thiago C e LIANG, Zhao e CUPERTINO, Thiago H. Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 264-276, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0353-z. Acesso em: 30 ago. 2024.
    • APA

      Silva, T. C., Liang, Z., & Cupertino, T. H. (2013). Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, 45( 3), 264-276. doi:10.1007/s10851-012-0353-z
    • NLM

      Silva TC, Liang Z, Cupertino TH. Handwritten data clustering using agents competition in networks [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 264-276.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10851-012-0353-z
    • Vancouver

      Silva TC, Liang Z, Cupertino TH. Handwritten data clustering using agents competition in networks [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 264-276.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10851-012-0353-z
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago C e LIANG, Zhao. Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, v. fe 2012, n. 1, p. 30-37, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2011.04.042. Acesso em: 30 ago. 2024.
    • APA

      Silva, T. C., & Liang, Z. (2012). Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, fe 2012( 1), 30-37. doi:10.1016/j.neucom.2011.04.042
    • NLM

      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042
    • Vancouver

      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042
  • Source: Proceedings. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, ESTATÍSTICA APLICADA, PROCESSOS ESTOCÁSTICOS

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      ARAÚJO, Bilzã Marques de et al. Identifying abnormal nodes in protein-protein interaction networks. 2010, Anais.. Los Alamitos: IEEE Computer Society, 2010. Disponível em: https://doi.org/10.1109/SBRN.2010.25. Acesso em: 30 ago. 2024.
    • APA

      Araújo, B. M. de, Rodrigues, F. A., Silva, T. C., & Liang, Z. (2010). Identifying abnormal nodes in protein-protein interaction networks. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/SBRN.2010.25
    • NLM

      Araújo BM de, Rodrigues FA, Silva TC, Liang Z. Identifying abnormal nodes in protein-protein interaction networks [Internet]. Proceedings. 2010 ;[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/SBRN.2010.25
    • Vancouver

      Araújo BM de, Rodrigues FA, Silva TC, Liang Z. Identifying abnormal nodes in protein-protein interaction networks [Internet]. Proceedings. 2010 ;[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/SBRN.2010.25

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