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  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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
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      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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
  • Fonte: Expert Systems with Applications. Unidades: IME, EP

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
  • Fonte: Expert Systems with Applications. Unidade: IFSC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 24 ago. 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 ago. 24 ] Available from: https://doi.org/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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
  • Fonte: Expert Systems with Applications. Unidade: FEA

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
  • Fonte: 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. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 24 ago. 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, 1-13. 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 1-13.[citado 2024 ago. 24 ] 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 1-13.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
  • Fonte: Expert Systems with Applications. Unidade: EP

    Assuntos: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL

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      MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 24 ago. 2024.
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      Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
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      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
    • Vancouver

      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
  • Fonte: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
  • 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: 24 ago. 2024.
    • APA

      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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
  • Fonte: 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: 24 ago. 2024.
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      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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 24 ago. 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 ago. 24 ] 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 ago. 24 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199

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