Filtros : "Expert Systems with Applications" "REDES NEURAIS" Removido: "Inglaterra" Limpar

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  • Fonte: Expert Systems with Applications. Unidade: Interinstitucional de Pós-Graduação em Estatística

    Assuntos: REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MERCADO FINANCEIRO

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    • ABNT

      SOUTO, Hugo Gobato. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction. Expert Systems with Applications, v. 255, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.124851. Acesso em: 18 nov. 2025.
    • APA

      Souto, H. G. (2024). Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction. Expert Systems with Applications, 255, 1-22. doi:10.1016/j.eswa.2024.124851
    • NLM

      Souto HG. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction [Internet]. Expert Systems with Applications. 2024 ; 255 1-22.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
    • Vancouver

      Souto HG. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction [Internet]. Expert Systems with Applications. 2024 ; 255 1-22.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: REDES NEURAIS, EDUCAÇÃO, REVISÃO SISTEMÁTICA, ENSINO E APRENDIZAGEM

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    • ABNT

      SILVA, Lenardo Chaves e et al. Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, v. 231, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.120621. Acesso em: 18 nov. 2025.
    • APA

      Silva, L. C. e, Cesar Sobrinho, A. A. de C., Cordeiro, T. D., Melo, R. F., Pinto, I. I. B. S., Marques, L. B., et al. (2023). Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, 231, 1-18. doi:10.1016/j.eswa.2023.120621
    • NLM

      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
    • Vancouver

      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
  • Fonte: Expert Systems with Applications. Unidade: EP

    Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 18 nov. 2025.
    • APA

      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Reali Costa, A. H. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420
    • NLM

      Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
    • Vancouver

      Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
  • Fonte: Expert Systems with Applications. Unidades: IFSC, ICMC

    Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, PROCESSAMENTO DE IMAGENS

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    • ABNT

      SÁ JUNIOR, Jarbas Joaci de Mesquita e RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, v. No 2019, p. 194-200, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.05.055. Acesso em: 18 nov. 2025.
    • APA

      Sá Junior, J. J. de M., Ribas, L. C., & Bruno, O. M. (2019). Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, No 2019, 194-200. doi:10.1016/j.eswa.2019.05.055
    • NLM

      Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
    • Vancouver

      Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: ALGORITMOS GENÉTICOS, REDES NEURAIS, ANÁLISE DE DESEMPENHO

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    • ABNT

      DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, v. 116, p. 65-77, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.09.004. Acesso em: 18 nov. 2025.
    • APA

      Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, 116, 65-77. doi:10.1016/j.eswa.2018.09.004
    • NLM

      Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
    • Vancouver

      Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
  • Fonte: Expert Systems with Applications. Unidade: FFCLRP

    Assuntos: REDES NEURAIS, REDES COMPLEXAS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e ZHAO, Liang. An embedded imputation method via Attribute-based Decision Graphs. Expert Systems with Applications, v. 57, p. 159-177, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.03.027. Acesso em: 18 nov. 2025.
    • APA

      Bertini Junior, J. R., Nicoletti, M. do C., & Zhao, L. (2016). An embedded imputation method via Attribute-based Decision Graphs. Expert Systems with Applications, 57, 159-177. doi:10.1016/j.eswa.2016.03.027
    • NLM

      Bertini Junior JR, Nicoletti M do C, Zhao L. An embedded imputation method via Attribute-based Decision Graphs [Internet]. Expert Systems with Applications. 2016 ; 57 159-177.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027
    • Vancouver

      Bertini Junior JR, Nicoletti M do C, Zhao L. An embedded imputation method via Attribute-based Decision Graphs [Internet]. Expert Systems with Applications. 2016 ; 57 159-177.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027

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