Filtros : "RECONHECIMENTO DE PADRÕES" "Indexado no INSPEC" Removido: "IEEE International Conference on Data Science and Advanced Analytics - DSAA" Limpar

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  • Source: Artificial Intelligence Review. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES

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    • ABNT

      FARIA, Elaine R et al. Novelty detection in data stream. Artificial Intelligence Review, v. 45, n. 2, p. 235-269, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10462-015-9444-8. Acesso em: 27 nov. 2025.
    • APA

      Faria, E. R., Gonçalves, I. J. C. R., Carvalho, A. C. P. de L. F. de, & Gama, J. (2016). Novelty detection in data stream. Artificial Intelligence Review, 45( 2), 235-269. doi:10.1007/s10462-015-9444-8
    • NLM

      Faria ER, Gonçalves IJCR, Carvalho ACP de LF de, Gama J. Novelty detection in data stream [Internet]. Artificial Intelligence Review. 2016 ; 45( 2): 235-269.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10462-015-9444-8
    • Vancouver

      Faria ER, Gonçalves IJCR, Carvalho ACP de LF de, Gama J. Novelty detection in data stream [Internet]. Artificial Intelligence Review. 2016 ; 45( 2): 235-269.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10462-015-9444-8
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES

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      PRATI, Ronaldo C e BATISTA, Gustavo Enrique de Almeida Prado Alves e SILVA, Diego Furtado. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowledge and Information Systems, v. 45, n. 1, p. 247-270, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10115-014-0794-3. Acesso em: 27 nov. 2025.
    • APA

      Prati, R. C., Batista, G. E. de A. P. A., & Silva, D. F. (2015). Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowledge and Information Systems, 45( 1), 247-270. doi:10.1007/s10115-014-0794-3
    • NLM

      Prati RC, Batista GE de APA, Silva DF. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods [Internet]. Knowledge and Information Systems. 2015 ; 45( 1): 247-270.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10115-014-0794-3
    • Vancouver

      Prati RC, Batista GE de APA, Silva DF. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods [Internet]. Knowledge and Information Systems. 2015 ; 45( 1): 247-270.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10115-014-0794-3
  • Source: IEEE Transactions on Image Processing. Unidade: EP

    Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES

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      HAE, Yong Kim. Binary halftone image resolution increasing by decision tree learning. IEEE Transactions on Image Processing, v. 143, n. 8, p. 1136-1146, 2004Tradução . . Disponível em: https://doi.org/10.1109/tip.2004.828424. Acesso em: 27 nov. 2025.
    • APA

      Hae, Y. K. (2004). Binary halftone image resolution increasing by decision tree learning. IEEE Transactions on Image Processing, 143( 8), 1136-1146. doi:10.1109/tip.2004.828424
    • NLM

      Hae YK. Binary halftone image resolution increasing by decision tree learning [Internet]. IEEE Transactions on Image Processing. 2004 ; 143( 8): 1136-1146.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/tip.2004.828424
    • Vancouver

      Hae YK. Binary halftone image resolution increasing by decision tree learning [Internet]. IEEE Transactions on Image Processing. 2004 ; 143( 8): 1136-1146.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/tip.2004.828424
  • Source: International Journal of Imaging Systems and Technology. Unidade: EP

    Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES

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      HAE, Yong Kim e AFIF, Amir. A secure authentication watermarking for halftone and binary images. International Journal of Imaging Systems and Technology, v. 14, n. 4, p. 147-152, 2004Tradução . . Disponível em: https://doi.org/10.1002/ima.20018. Acesso em: 27 nov. 2025.
    • APA

      Hae, Y. K., & Afif, A. (2004). A secure authentication watermarking for halftone and binary images. International Journal of Imaging Systems and Technology, 14( 4), 147-152. doi:10.1002/ima.20018
    • NLM

      Hae YK, Afif A. A secure authentication watermarking for halftone and binary images [Internet]. International Journal of Imaging Systems and Technology. 2004 ; 14( 4): 147-152.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/ima.20018
    • Vancouver

      Hae YK, Afif A. A secure authentication watermarking for halftone and binary images [Internet]. International Journal of Imaging Systems and Technology. 2004 ; 14( 4): 147-152.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/ima.20018
  • Source: International Journal of Imaging Systems and Technology. Unidade: EP

    Assunto: RECONHECIMENTO DE PADRÕES

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      HAE, Yong Kim. Binary operator design by k-nearest neighbor learning with application to image resolution increasing. International Journal of Imaging Systems and Technology, v. 11, n. 5, p. 331-339, 2000Tradução . . Disponível em: https://doi.org/10.1002/ima.1017. Acesso em: 27 nov. 2025.
    • APA

      Hae, Y. K. (2000). Binary operator design by k-nearest neighbor learning with application to image resolution increasing. International Journal of Imaging Systems and Technology, 11( 5), 331-339. doi:10.1002/ima.1017
    • NLM

      Hae YK. Binary operator design by k-nearest neighbor learning with application to image resolution increasing [Internet]. International Journal of Imaging Systems and Technology. 2000 ; 11( 5): 331-339.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/ima.1017
    • Vancouver

      Hae YK. Binary operator design by k-nearest neighbor learning with application to image resolution increasing [Internet]. International Journal of Imaging Systems and Technology. 2000 ; 11( 5): 331-339.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/ima.1017

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