Filtros : "LIANG, ZHAO" "2012" Removidos: "Indexado no: Web of Science" "CIÊNCIAS BIOLÓGICAS III" "Llacer, Pedro Enrique Dorlhiac" "SESSO, ANTONIO" "1944" "1995" "Tecpress" "Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES)CAPES [001]" "CIENCIA POLITICA" "Sawamura, Regina" "Arábia Saudita" "Multiplos idiomas" "Semana do Instituto de Física de São Carlos - SIFSC" Limpar

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  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SILVA, Thiago Christiano e LIANG, Zhao. Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. ju 2012, p. 954-970, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2195027. Acesso em: 14 jul. 2024.
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      Silva, T. C., & Liang, Z. (2012). Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, 23( ju 2012), 954-970. doi:10.1109/TNNLS.2012.2195027
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      Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
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      Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      BREVE, Fabricio e LIANG, Zhao. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.16. Acesso em: 14 jul. 2024.
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      Breve, F., & Liang, Z. (2012). Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.16
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      Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.16
    • Vancouver

      Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.16
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      XIAOMING, Liang e LIANG, Zhao e ZONGHUA, Liu. Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 9, p. 1506-1512, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2204772. Acesso em: 14 jul. 2024.
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      Xiaoming, L., Liang, Z., & Zonghua, L. (2012). Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, 23( 9), 1506-1512. doi:10.1109/TNNLS.2012.2204772
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      Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
    • Vancouver

      Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
  • Source: e-Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      CUPERTINO, Thiago H e SILVA, Thiago C e LIANG, Zhao. Multiple images set classification via network modularity. 2012, Anais.. Los Alamitos: Conference Publishing Services, 2012. Disponível em: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wtd.html. Acesso em: 14 jul. 2024.
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      Cupertino, T. H., Silva, T. C., & Liang, Z. (2012). Multiple images set classification via network modularity. In e-Proceedings. Los Alamitos: Conference Publishing Services. Recuperado de http://www.decom.ufop.br/sibgrapi2012/eproceedings/wtd.html
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      Cupertino TH, Silva TC, Liang Z. Multiple images set classification via network modularity [Internet]. e-Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wtd.html
    • Vancouver

      Cupertino TH, Silva TC, Liang Z. Multiple images set classification via network modularity [Internet]. e-Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wtd.html
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      BREVE, Fabricio e LIANG, Zhao. Particle competition and cooperation in networks for semi-supervised learning with concept drift. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252617. Acesso em: 14 jul. 2024.
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      Breve, F., & Liang, Z. (2012). Particle competition and cooperation in networks for semi-supervised learning with concept drift. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252617
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      Breve F, Liang Z. Particle competition and cooperation in networks for semi-supervised learning with concept drift [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252617
    • Vancouver

      Breve F, Liang Z. Particle competition and cooperation in networks for semi-supervised learning with concept drift [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252617
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BREVE, Fabricio e LIANG, Zhao. Aprendizado de máquina em redes complexas. 2012, Anais.. Porto Alegre: SBC, 2012. . Acesso em: 14 jul. 2024.
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      Breve, F., & Liang, Z. (2012). Aprendizado de máquina em redes complexas. In Proceedings. Porto Alegre: SBC.
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      Breve F, Liang Z. Aprendizado de máquina em redes complexas. Proceedings. 2012 ;[citado 2024 jul. 14 ]
    • Vancouver

      Breve F, Liang Z. Aprendizado de máquina em redes complexas. Proceedings. 2012 ;[citado 2024 jul. 14 ]
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SILVA, Thiago Christiano e LIANG, Zhao. Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 451-466, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181413. Acesso em: 14 jul. 2024.
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      Silva, T. C., & Liang, Z. (2012). Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 451-466. doi:10.1109/TNNLS.2011.2181413
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      Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
    • Vancouver

      Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      FERREIRA, Leonardo N e PINTO, A. R e LIANG, Zhao. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252477. Acesso em: 14 jul. 2024.
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      Ferreira, L. N., Pinto, A. R., & Liang, Z. (2012). QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252477
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      Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477
    • Vancouver

      Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      XIAOMING, Liang e LIANG, Zhao. Firing activity induced by nonidentical signal phases in two coupled excitable neurons. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.18. Acesso em: 14 jul. 2024.
    • APA

      Xiaoming, L., & Liang, Z. (2012). Firing activity induced by nonidentical signal phases in two coupled excitable neurons. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.18
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      Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.18
    • Vancouver

      Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.18
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      CUPERTINO, Thiago H e LIANG, Zhao. Using interacting forces to perform semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.24. Acesso em: 14 jul. 2024.
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      Cupertino, T. H., & Liang, Z. (2012). Using interacting forces to perform semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.24
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      Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.24
    • Vancouver

      Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.24
  • Source: Proceedings. Conference titles: International Conference on Computational Aspects of Social Networks - CASoN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      Proceedings of the Fourth International Conference on Computational Aspects of Social Networks. Proceedings. Piscataway: IEEE. Disponível em: https://doi.org/10.1109/CASoN.2012.6412368. Acesso em: 14 jul. 2024. , 2012
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      Proceedings of the Fourth International Conference on Computational Aspects of Social Networks. (2012). Proceedings of the Fourth International Conference on Computational Aspects of Social Networks. Proceedings. Piscataway: IEEE. doi:10.1109/CASoN.2012.6412368
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      Proceedings of the Fourth International Conference on Computational Aspects of Social Networks [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/CASoN.2012.6412368
    • Vancouver

      Proceedings of the Fourth International Conference on Computational Aspects of Social Networks [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/CASoN.2012.6412368
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      CARNEIRO, Murillo G et al. Classificação de alto nível utilizando grafo k-associados ótimo. 2012, Anais.. Porto Alegre: SBC, 2012. . Acesso em: 14 jul. 2024.
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      Carneiro, M. G., Rosa, J. L. G., Lopes, A. de A., & Liang, Z. (2012). Classificação de alto nível utilizando grafo k-associados ótimo. In Proceedings. Porto Alegre: SBC.
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      Carneiro MG, Rosa JLG, Lopes A de A, Liang Z. Classificação de alto nível utilizando grafo k-associados ótimo. Proceedings. 2012 ;[citado 2024 jul. 14 ]
    • Vancouver

      Carneiro MG, Rosa JLG, Lopes A de A, Liang Z. Classificação de alto nível utilizando grafo k-associados ótimo. Proceedings. 2012 ;[citado 2024 jul. 14 ]
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SILVA, Thiago Christiano e LIANG, Zhao. Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 385-398, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181866. Acesso em: 14 jul. 2024.
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      Silva, T. C., & Liang, Z. (2012). Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 385-398. doi:10.1109/TNNLS.2011.2181866
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      Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866
    • Vancouver

      Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866
  • Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      BREVE, Fabricio Aparecido et al. Particle competition and cooperation in networks for semi-supervised learning. IEEE Transactions on Knowledge and Data Engineering, v. 24, n. 9, p. 1686-1698, 2012Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2011.119. Acesso em: 14 jul. 2024.
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      Breve, F. A., Liang, Z., Quiles, M. G., Pedrycz, W., & Liu, J. (2012). Particle competition and cooperation in networks for semi-supervised learning. IEEE Transactions on Knowledge and Data Engineering, 24( 9), 1686-1698. doi:10.1109/TKDE.2011.119
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      Breve FA, Liang Z, Quiles MG, Pedrycz W, Liu J. Particle competition and cooperation in networks for semi-supervised learning [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2012 ; 24( 9): 1686-1698.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TKDE.2011.119
    • Vancouver

      Breve FA, Liang Z, Quiles MG, Pedrycz W, Liu J. Particle competition and cooperation in networks for semi-supervised learning [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2012 ; 24( 9): 1686-1698.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/TKDE.2011.119
  • Source: Lecture Notes in Computer Science. Conference titles: International Symposium on Neural Networks : Advances in Neural Networks - ISNN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS

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      SILVA, Thiago C e LIANG, Zhao. Preventing error propagation in semi-supervised learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31346-2. Acesso em: 14 jul. 2024. , 2012
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      Silva, T. C., & Liang, Z. (2012). Preventing error propagation in semi-supervised learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31346-2
    • NLM

      Silva TC, Liang Z. Preventing error propagation in semi-supervised learning [Internet]. Lecture Notes in Computer Science. 2012 ; 7367 565-572.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-31346-2
    • Vancouver

      Silva TC, Liang Z. Preventing error propagation in semi-supervised learning [Internet]. Lecture Notes in Computer Science. 2012 ; 7367 565-572.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-31346-2
  • Source: e-Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      ALVES NETO, Filipe e LIANG, Zhao. Extração de padrões de imagens de ultrassonografias obstétricas utilizando Wavelets. 2012, Anais.. Los Alamitos: Conference Publishing Services, 2012. Disponível em: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wuw.html. Acesso em: 14 jul. 2024.
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      Alves Neto, F., & Liang, Z. (2012). Extração de padrões de imagens de ultrassonografias obstétricas utilizando Wavelets. In e-Proceedings. Los Alamitos: Conference Publishing Services. Recuperado de http://www.decom.ufop.br/sibgrapi2012/eproceedings/wuw.html
    • NLM

      Alves Neto F, Liang Z. Extração de padrões de imagens de ultrassonografias obstétricas utilizando Wavelets [Internet]. e-Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wuw.html
    • Vancouver

      Alves Neto F, Liang Z. Extração de padrões de imagens de ultrassonografias obstétricas utilizando Wavelets [Internet]. e-Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: http://www.decom.ufop.br/sibgrapi2012/eproceedings/wuw.html
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      XIAOMING, Liang e LIANG, Zhao. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. no 2012, p. 40-45, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.08.002. Acesso em: 14 jul. 2024.
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      Xiaoming, L., & Liang, Z. (2012). Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, no 2012, 40-45. doi:10.1016/j.neunet.2012.08.002
    • NLM

      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
    • Vancouver

      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      BENICASA, Alcides X et al. An object-based visual selection model with bottom-up and top-down modulations. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.48. Acesso em: 14 jul. 2024.
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      Benicasa, A. X., Quiles, M. G., Liang, Z., & Romero, R. A. F. (2012). An object-based visual selection model with bottom-up and top-down modulations. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.48
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      Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.48
    • Vancouver

      Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 jul. 14 ] Available from: https://doi.org/10.1109/SBRN.2012.48
  • 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: 14 jul. 2024.
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      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
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      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 jul. 14 ] 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 jul. 14 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042
  • Source: Chaos. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      XIAOMING, Liang e LIANG, Zhao e ZONGHUA, Liu. Optimal signal amplification in weighted scale-free networks. Chaos, v. 22, p. 023128-1-023128-7, 2012Tradução . . Disponível em: https://doi.org/10.1063/1.4718723. Acesso em: 14 jul. 2024.
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      Xiaoming, L., Liang, Z., & Zonghua, L. (2012). Optimal signal amplification in weighted scale-free networks. Chaos, 22, 023128-1-023128-7. doi:10.1063/1.4718723
    • NLM

      Xiaoming L, Liang Z, Zonghua L. Optimal signal amplification in weighted scale-free networks [Internet]. Chaos. 2012 ; 22 023128-1-023128-7.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1063/1.4718723
    • Vancouver

      Xiaoming L, Liang Z, Zonghua L. Optimal signal amplification in weighted scale-free networks [Internet]. Chaos. 2012 ; 22 023128-1-023128-7.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1063/1.4718723

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