Filtros : "Neural Networks" "ICMC" Limpar

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  • Source: Neural Networks. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BENCHMARKS, REVISÃO SISTEMÁTICA

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    • ABNT

      MENEZES, Angelo Garangau et al. Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, v. 161, p. 476-493, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2023.01.041. Acesso em: 16 nov. 2025.
    • APA

      Menezes, A. G., Moura, G. de, Alves, C., & Carvalho, A. C. P. de L. F. de. (2023). Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, 161, 476-493. doi:10.1016/j.neunet.2023.01.041
    • NLM

      Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
    • Vancouver

      Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
  • Source: Neural Networks. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES

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    • ABNT

      SANTOS, Fernando Pereira dos et al. Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, v. 132, p. 131-143, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2020.08.016. Acesso em: 16 nov. 2025.
    • APA

      Santos, F. P. dos, Zor, C., Kittler, J., & Ponti, M. A. (2020). Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, 132, 131-143. doi:10.1016/j.neunet.2020.08.016
    • NLM

      Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
    • Vancouver

      Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.11.001. Acesso em: 16 nov. 2025.
    • APA

      Silva, T. C., & Liang, Z. (2013). Detecting and preventing error propagation via competitive learning. Neural Networks, 41, 70-84. doi:10.1016/j.neunet.2012.11.001
    • NLM

      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
    • Vancouver

      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
  • 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: 16 nov. 2025.
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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 2025 nov. 16 ] 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 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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    • ABNT

      QUILES, Marcos Gonçalves et al. Selecting salient objects in real scenes: an oscillatory correlation model. Neural Networks, v. 24, n. 1, p. 54-64, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2010.09.002. Acesso em: 16 nov. 2025.
    • APA

      Quiles, M. G., Wang, D. L., Liang, Z., Romero, R. A. F., & Huang, D. -S. (2011). Selecting salient objects in real scenes: an oscillatory correlation model. Neural Networks, 24( 1), 54-64. doi:10.1016/j.neunet.2010.09.002
    • NLM

      Quiles MG, Wang DL, Liang Z, Romero RAF, Huang D-S. Selecting salient objects in real scenes: an oscillatory correlation model [Internet]. Neural Networks. 2011 ; 24( 1): 54-64.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2010.09.002
    • Vancouver

      Quiles MG, Wang DL, Liang Z, Romero RAF, Huang D-S. Selecting salient objects in real scenes: an oscillatory correlation model [Internet]. Neural Networks. 2011 ; 24( 1): 54-64.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2010.09.002
  • Source: Neural Networks. Unidade: ICMC

    Assunto: REDES NEURAIS

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    • ABNT

      BREVE, Fabricio A. et al. Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, v. 22, n. 5-6, p. 728-737, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2009.06.027. Acesso em: 16 nov. 2025.
    • APA

      Breve, F. A., Zhao, L., Quiles, M. G., & Macau, E. E. N. (2009). Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, 22( 5-6), 728-737. doi:10.1016/j.neunet.2009.06.027
    • NLM

      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
    • Vancouver

      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027

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