Filtros : "RECONHECIMENTO DE PADRÕES" "Financiado pela PRP USP" Removido: "Conference on Language Resources and Evaluation - LREC" Limpar

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  • Source: Natural Computing. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, BOLSA DE VALORES

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    • ABNT

      COLLIRI, Tiago Santos e LIANG, Zhao. Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, v. 20, n. 4, p. 791-804, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11047-020-09829-9. Acesso em: 27 nov. 2025.
    • APA

      Colliri, T. S., & Liang, Z. (2021). Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, 20( 4), 791-804. doi:10.1007/s11047-020-09829-9
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      Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s11047-020-09829-9
    • Vancouver

      Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s11047-020-09829-9
  • Source: Handbook of fuzzy sets comparison : theory, algorithms and applications. Unidade: IME

    Subjects: RECONHECIMENTO DE PADRÕES, ANÁLISE DE DADOS, FUZZY (INTELIGÊNCIA ARTIFICIAL), TESTES DE HIPÓTESES

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      GUEVARA, Jorge e HIRATA JÚNIOR, Roberto e CANU, Stephane. Fuzzy set similarity using a distance-based kernel on fuzzy sets. Handbook of fuzzy sets comparison : theory, algorithms and applications. Tradução . Xanthi: Science Gate Publishing, 2019. . Disponível em: https://doi.org/10.15579/gcsr.vol6.ch5. Acesso em: 27 nov. 2025.
    • APA

      Guevara, J., Hirata Júnior, R., & Canu, S. (2019). Fuzzy set similarity using a distance-based kernel on fuzzy sets. In Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing. doi:10.15579/gcsr.vol6.ch5
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      Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2025 nov. 27 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5
    • Vancouver

      Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2025 nov. 27 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5
  • Source: Pattern recognition and big data. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES

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      HASHIMOTO, M et al. Keygraphs: structured features for object detection and applications. Pattern recognition and big data. Tradução . Singapore: Hackensack, NJ, 2017. . Disponível em: https://www.worldscientific.com/worldscibooks/10.1142/10153. Acesso em: 27 nov. 2025.
    • APA

      Hashimoto, M., Morimitsu, H., Hirata Júnior, R., & César Júnior, R. M. (2017). Keygraphs: structured features for object detection and applications. In Pattern recognition and big data. Singapore: Hackensack, NJ. Recuperado de https://www.worldscientific.com/worldscibooks/10.1142/10153
    • NLM

      Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2025 nov. 27 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
    • Vancouver

      Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2025 nov. 27 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153

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