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Artigo de periodico
Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction (2024)
Souto, Hugo Gobato
Source: Expert Systems with Applications. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
Artigo de periodico
Applications of convolutional neural networks in education: a systematic literature review (2023)
Silva, Lenardo Chaves e ; Cesar Sobrinho, Alvaro Alvares de Carvalho ; Cordeiro, Thiago Damasceno ; Melo, Rafael Ferreira; Pinto, Ig Ibert Bittencourt Santana ; Marques, Leonardo Brandão ; Matos, Diego Dermeval Medeiros Da Cunha ; Silva, Alan Pedro da ; Isotani, Seiji
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
Artigo de periodico
DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)
Glatt, Ruben; Silva, Felipe Leno da ; Bianchi, Reinaldo Augusto da Costa ; Reali Costa, Anna Helena
Source: Expert Systems with Applications. Unidade: EP
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
Artigo de periodico
Randomized neural network based signature for dynamic texture classification (2019)
Sá Junior, Jarbas Joaci de Mesquita; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Expert Systems with Applications. Unidades: IFSC, ICMC
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
Artigo de periodico
Neuroevolution for solving multiobjective knapsack problems (2019)
Denysiuk, Roman; Gaspar-Cunha, António; Delbem, Alexandre Cláudio Botazzo
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
Artigo de periodico
Designing architectures of convolutional neural networks to solve practical problems (2018)
Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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ABNT
FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 09 nov. 2025.
APA
Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
NLM
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Artigo de periodico
Deep learning for biological image classification (2017)
Affonso, Carlos; Rossi, André Luis Debiaso; Vieira, Fábio Henrique Antunes; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM
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ABNT
AFFONSO, Carlos et al. Deep learning for biological image classification. Expert Systems with Applications, v. No 2017, p. 114-122, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.05.039. Acesso em: 09 nov. 2025.
APA
Affonso, C., Rossi, A. L. D., Vieira, F. H. A., & Carvalho, A. C. P. de L. F. de. (2017). Deep learning for biological image classification. Expert Systems with Applications, No 2017, 114-122. doi:10.1016/j.eswa.2017.05.039
NLM
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
Vancouver
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
Artigo de periodico
An embedded imputation method via Attribute-based Decision Graphs (2016)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Zhao, Liang
Source: Expert Systems with Applications. Unidade: FFCLRP
Subjects: 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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027

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