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  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM

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      MARANA, Fernanda Tostes et al. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, v. 245, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.122981. Acesso em: 23 abr. 2024.
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      Marana, F. T., Fernandes, R. da S., Bazán Guzmán, J. L., Carvalho, A. C. P. de L. F. de, & Cúri, M. (2024). What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, 245, 1-12. doi:10.1016/j.eswa.2023.122981
    • NLM

      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
    • Vancouver

      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
  • Source: Expert Systems with Applications. Unidades: IME, EP

    Subjects: PESQUISA OPERACIONAL, TEORIA DE SISTEMAS E CONTROLE, PROGRAMAÇÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e ROMÃO, Oberlan Christo e RONCONI, Débora Pretti. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, v. 223, p. 26 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.119866. Acesso em: 23 abr. 2024.
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      Birgin, E. J. G., Romão, O. C., & Ronconi, D. P. (2023). A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, 223, 26 on-line. doi:10.1016/j.eswa.2023.119866
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      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
    • Vancouver

      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
  • Source: Expert Systems with Applications. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS

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      CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 23 abr. 2024.
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      Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792
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      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
    • Vancouver

      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
  • Source: Expert Systems with Applications. Unidade: ICMC

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

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      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: 23 abr. 2024.
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      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
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      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 2024 abr. 23 ] 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 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, REPRESENTAÇÃO DA INFORMAÇÃO, MÚSICA

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      SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, v. No 2022, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117969. Acesso em: 23 abr. 2024.
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      Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2022). Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, No 2022, 1-9. doi:10.1016/j.eswa.2022.117969
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      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
    • Vancouver

      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: VEÍCULOS AUTÔNOMOS, ALGORITMOS, ENGENHARIA ELÉTRICA

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      MORAIS, Gustavo Alves Prudencio de et al. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, v. 192, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116304. Acesso em: 23 abr. 2024.
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      Morais, G. A. P. de, Marcos, L. B., Barbosa, F. M., Barbosa, B. H. G., Terra, M. H., & Grassi Júnior, V. (2022). Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, 192, 1-18. doi:10.1016/j.eswa.2021.116304
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      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
    • Vancouver

      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
  • Source: Expert Systems with Applications. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 117259, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 23 abr. 2024.
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      Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Costa, A. H. R., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 117259. doi:10.1016/j.eswa.2022.117259
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      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ;202 117259.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
    • Vancouver

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ;202 117259.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
  • Source: Expert Systems with Applications. Unidade: FEA

    Subjects: DINHEIRO ELETRÔNICO, MOEDAS, PREVISÃO ECONÔMICA, FINANÇAS

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      MACIEL, Leandro dos Santos et al. Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, v. 210, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417422014981. Acesso em: 23 abr. 2024.
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      Maciel, L. dos S., Ballini, R., Gomide, F., & Yager, R. (2022). Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, 210. doi:10.1016/j.eswa.2022.118387
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      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 abr. 23 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
    • Vancouver

      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 abr. 23 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: REDE DE COMUNICAÇÃO, FALHA, ENGENHARIA MECÂNICA

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      SESTITO, Guilherme Serpa et al. Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, v. 206, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117751. Acesso em: 23 abr. 2024.
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      Sestito, G. S., Turcato, A. C., Dias, A. L., Ferrari, P., & Silva, M. M. da. (2022). Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, 206, 1-8. doi:10.1016/j.eswa.2022.117751
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      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
    • Vancouver

      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: TOMADA DE DECISÃO, ANÁLISE DE RISCO, HOSPITAIS, ENGENHARIA DE PRODUÇÃO

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      ARANTES, Rafael Ferro Munhoz et al. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, v. 207, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117990. Acesso em: 23 abr. 2024.
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      Arantes, R. F. M., Calache, L. D. D. R., Zanon, L. G., Osiro, L., & Carpinetti, L. C. R. (2022). A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, 207, 1-16. doi:10.1016/j.eswa.2022.117990
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      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
    • Vancouver

      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ECONOMETRIA, CADEIA DE SUPRIMENTOS, OPERAÇÕES BANCÁRIAS

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      SILVA, Thiago Christiano e AMANCIO, Diego Raphael e TABAK, Benjamin Miranda. Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, v. 190, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116162. Acesso em: 23 abr. 2024.
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      Silva, T. C., Amancio, D. R., & Tabak, B. M. (2022). Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, 190, 1-13. doi:10.1016/j.eswa.2021.116162
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      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
    • Vancouver

      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: PROGRAMAÇÃO DINÂMICA, PESQUISA, ENGENHARIA DE PRODUÇÃO

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      SOUZA, Edson Antonio Gonçalves de e NAGANO, Marcelo Seido e ROLIM, Gustavo Alencar. Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, v. 190, p. 1-35, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116180. Acesso em: 23 abr. 2024.
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      Souza, E. A. G. de, Nagano, M. S., & Rolim, G. A. (2022). Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, 190, 1-35. doi:10.1016/j.eswa.2021.116180
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      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
    • Vancouver

      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA

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      SILVA, Diego Corrêa da e MANZATO, Marcelo Garcia e DURÃO, Frederico Araujo. Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, v. No 2021, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115112. Acesso em: 23 abr. 2024.
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      Silva, D. C. da, Manzato, M. G., & Durão, F. A. (2021). Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, No 2021, 1-20. doi:10.1016/j.eswa.2021.115112
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      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
    • Vancouver

      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HOMOLOGIA, ESPAÇOS TOPOLÓGICOS

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      VAZ, Yule e MELLO, Rodrigo Fernandes de e GROSSI, Carlos Henrique. Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, v. 184, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115399. Acesso em: 23 abr. 2024.
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      Vaz, Y., Mello, R. F. de, & Grossi, C. H. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399
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      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
    • Vancouver

      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, JOGOS DE COMPUTADOR, INTERAÇÃO HOMEM-MÁQUINA

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      PEREIRA, Leonardo Tortoro et al. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players. Expert Systems with Applications, v. 180, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115009. Acesso em: 23 abr. 2024.
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      Pereira, L. T., Prado, P. V. de S., Lopes, R. M., & Toledo, C. F. M. (2021). Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players. Expert Systems with Applications, 180, 1-15. doi:10.1016/j.eswa.2021.115009
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      Pereira LT, Prado PV de S, Lopes RM, Toledo CFM. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players [Internet]. Expert Systems with Applications. 2021 ; 180 1-15.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
    • Vancouver

      Pereira LT, Prado PV de S, Lopes RM, Toledo CFM. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players [Internet]. Expert Systems with Applications. 2021 ; 180 1-15.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
  • Source: Expert Systems with Applications. Unidade: EACH

    Assunto: PROCESSAMENTO DE LINGUAGEM NATURAL

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      CUSTÓDIO, José Eleandro e PARABONI, Ivandre. Stacked authorship attribution of digital texts. Expert Systems with Applications, v. 176, p. 01-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.114866. Acesso em: 23 abr. 2024.
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      Custódio, J. E., & Paraboni, I. (2021). Stacked authorship attribution of digital texts. Expert Systems with Applications, 176, 01-13. doi:10.1016/j.eswa.2021.114866
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      Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
    • Vancouver

      Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      PARMEZAN, Antonio Rafael Sabino et al. Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, v. 185, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115589. Acesso em: 23 abr. 2024.
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      Parmezan, A. R. S., Lee, H. D., Spolaôr, N., & Wu, F. C. (2021). Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, 185, 1-30. doi:10.1016/j.eswa.2021.115589
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      Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
    • Vancouver

      Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
  • Source: Expert Systems with Applications. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      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: 23 abr. 2024.
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      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (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, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
    • Vancouver

      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
  • Source: Expert Systems with Applications. Unidade: EP

    Assunto: ALGORITMOS

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      BERTANI, Ricardo Mitollo e BIANCHI, Reinaldo Augusto da Costa e REALI COSTA, Anna Helena. Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, v. 146, p. 113149, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.113149. Acesso em: 23 abr. 2024.
    • APA

      Bertani, R. M., Bianchi, R. A. da C., & Reali Costa, A. H. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149. doi:10.1016/j.eswa.2019.113149
    • NLM

      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
    • Vancouver

      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, CORPUS, PORTUGUÊS DO BRASIL, NOTÍCIA

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      SILVA, Renato M et al. Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, v. 146, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113199. Acesso em: 23 abr. 2024.
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      Silva, R. M., Santos, R. L. de S., Almeida, T. A., & Pardo, T. A. S. (2020). Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, 146, 1-14. doi:10.1016/j.eswa.2020.113199
    • NLM

      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199
    • Vancouver

      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199

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