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  • Source: IEEE Transactions on Fuzzy Systems. Unidade: IME

    Subjects: LÓGICA FUZZY, APRENDIZADO COMPUTACIONAL

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    • ABNT

      GUEVARA DIAZ, Jorge Luis e MENDEL, Jerry M e HIRATA JÚNIOR, Roberto. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines. IEEE Transactions on Fuzzy Systems, v. 30, n. 10, p. 4447-4459, 2022Tradução . . Disponível em: https://doi.org/10.1109/TFUZZ.2022.3153141. Acesso em: 23 jan. 2026.
    • APA

      Guevara Diaz, J. L., Mendel, J. M., & Hirata Júnior, R. (2022). Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines. IEEE Transactions on Fuzzy Systems, 30( 10), 4447-4459. doi:10.1109/TFUZZ.2022.3153141
    • NLM

      Guevara Diaz JL, Mendel JM, Hirata Júnior R. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines [Internet]. IEEE Transactions on Fuzzy Systems. 2022 ; 30( 10): 4447-4459.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/TFUZZ.2022.3153141
    • Vancouver

      Guevara Diaz JL, Mendel JM, Hirata Júnior R. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines [Internet]. IEEE Transactions on Fuzzy Systems. 2022 ; 30( 10): 4447-4459.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/TFUZZ.2022.3153141
  • Source: Proceedings. Conference titles: International Conference on Fuzzy Systems - FUZZ-IEEE. Unidade: IME

    Subjects: LÓGICA FUZZY, APRENDIZADO COMPUTACIONAL, ESPAÇOS DE HILBERT

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    • ABNT

      GUEVARA, Jorge e MENDEL, Jerry M e HIRATA JÚNIOR, Roberto. Connections between fuzzy inference systems and kernel machines. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/FUZZ48607.2020.9177604. Acesso em: 23 jan. 2026.
    • APA

      Guevara, J., Mendel, J. M., & Hirata Júnior, R. (2020). Connections between fuzzy inference systems and kernel machines. In Proceedings. Piscataway: IEEE. doi:10.1109/FUZZ48607.2020.9177604
    • NLM

      Guevara J, Mendel JM, Hirata Júnior R. Connections between fuzzy inference systems and kernel machines [Internet]. Proceedings. 2020 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177604
    • Vancouver

      Guevara J, Mendel JM, Hirata Júnior R. Connections between fuzzy inference systems and kernel machines [Internet]. Proceedings. 2020 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177604
  • Source: Proceedings. Conference titles: International Conference on Multimodal Interaction - ICMI. Unidade: ICMC

    Subjects: INTERFACE HOMEM-COMPUTADOR, LÓGICA FUZZY, FRAMEWORKS, ROBÔS

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    • ABNT

      TOZADORE, Daniel Carnieto e ROMERO, Roseli Aparecida Francelin. Multimodal fuzzy assessment for robot behavioral adaptation in educational children-robot interaction. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3395035.3425201. Acesso em: 23 jan. 2026.
    • APA

      Tozadore, D. C., & Romero, R. A. F. (2020). Multimodal fuzzy assessment for robot behavioral adaptation in educational children-robot interaction. In Proceedings. New York: ACM. doi:10.1145/3395035.3425201
    • NLM

      Tozadore DC, Romero RAF. Multimodal fuzzy assessment for robot behavioral adaptation in educational children-robot interaction [Internet]. Proceedings. 2020 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1145/3395035.3425201
    • Vancouver

      Tozadore DC, Romero RAF. Multimodal fuzzy assessment for robot behavioral adaptation in educational children-robot interaction [Internet]. Proceedings. 2020 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1145/3395035.3425201

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