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  • Source: Journal of the Operational Research Society. Unidade: EESC

    Subjects: SEQUENCIAÇÃO DA PRODUÇÃO, HEURÍSTICA, ENGENHARIA DE PRODUÇÃO

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      ALMEIDA, Fernando Siqueira de e NAGANO, Marcelo Seido. Heuristics to optimize total completion time subject to makespan in no-wait flow shops with sequence-dependent setup times. Journal of the Operational Research Society, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1080/01605682.2022.2039569. Acesso em: 04 nov. 2024.
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      Almeida, F. S. de, & Nagano, M. S. (2022). Heuristics to optimize total completion time subject to makespan in no-wait flow shops with sequence-dependent setup times. Journal of the Operational Research Society, 1-12. doi:10.1080/01605682.2022.2039569
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      Almeida FS de, Nagano MS. Heuristics to optimize total completion time subject to makespan in no-wait flow shops with sequence-dependent setup times [Internet]. Journal of the Operational Research Society. 2022 ; 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2022.2039569
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      Almeida FS de, Nagano MS. Heuristics to optimize total completion time subject to makespan in no-wait flow shops with sequence-dependent setup times [Internet]. Journal of the Operational Research Society. 2022 ; 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2022.2039569
  • Source: Applied Acoustics. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS, MÚSICA

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      FERREIRA, Martha Dais e MELLO, Rodrigo Fernandes de. Time complexity evaluation of cover song identification algorithms. Applied Acoustics, v. 175, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.apacoust.2020.107777. Acesso em: 04 nov. 2024.
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      Ferreira, M. D., & Mello, R. F. de. (2021). Time complexity evaluation of cover song identification algorithms. Applied Acoustics, 175, 1-11. doi:10.1016/j.apacoust.2020.107777
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      Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
    • Vancouver

      Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
  • Source: Ceramics International. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, MÉTODO DOS ELEMENTOS FINITOS, REFRATÁRIOS, FORNOS METALÚRGICOS

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      SANTOS, Dulce P et al. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, v. 46, n. 4, p. 4113-4125, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ceramint.2019.10.127. Acesso em: 04 nov. 2024.
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      Santos, D. P., Pelissari, P. I. B. G. B., Oliveira, B. S. de, Leiva, D. R., Mello, R. F. de, & Pandolfelli, V. C. (2020). Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, 46( 4), 4113-4125. doi:10.1016/j.ceramint.2019.10.127
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      Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
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      Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
  • Source: Journal of the Operational Research Society. Unidade: ICMC

    Subjects: EMPACOTAMENTO E COBERTURA, PROGRAMAÇÃO LINEAR, PROGRAMAÇÃO INTEIRA E FLUXOS EM REDE

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      BEZERRA, Vanessa Munhoz Reina et al. Models for the two-dimensional level strip packing problem: a review and a computational evaluation. Journal of the Operational Research Society, v. 71, n. 4, p. 606-627, 2020Tradução . . Disponível em: https://doi.org/10.1080/01605682.2019.1578914. Acesso em: 04 nov. 2024.
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      Bezerra, V. M. R., Leão, A. A. de S., Oliveira, J. F., & Santos, M. O. dos. (2020). Models for the two-dimensional level strip packing problem: a review and a computational evaluation. Journal of the Operational Research Society, 71( 4), 606-627. doi:10.1080/01605682.2019.1578914
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      Bezerra VMR, Leão AA de S, Oliveira JF, Santos MO dos. Models for the two-dimensional level strip packing problem: a review and a computational evaluation [Internet]. Journal of the Operational Research Society. 2020 ; 71( 4): 606-627.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2019.1578914
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      Bezerra VMR, Leão AA de S, Oliveira JF, Santos MO dos. Models for the two-dimensional level strip packing problem: a review and a computational evaluation [Internet]. Journal of the Operational Research Society. 2020 ; 71( 4): 606-627.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2019.1578914
  • Source: Acta Materialia. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, VIDRO

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      ALCOBAÇA, Edesio et al. Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, v. 188, p. 92-100, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2020.01.047. Acesso em: 04 nov. 2024.
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      Alcobaça, E., Mastelini, S. M., Botari, T., Pimentel, B. A., Cassar, D. R., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2020). Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, 188, 92-100. doi:10.1016/j.actamat.2020.01.047
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      Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
    • Vancouver

      Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
  • Source: International Journal of Human-Computer Studies. Unidade: ICMC

    Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, JOGOS DE COMPUTADOR, DESENVOLVIMENTO DE SOFTWARE

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      RODRIGUES, Luiz Antonio Lima e BONIDIA, Robson Parmezan e BRANCHER, Jacques. Procedural versus human level generation: two sides of the same coin?. International Journal of Human-Computer Studies, v. 141, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijhcs.2020.102465. Acesso em: 04 nov. 2024.
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      Rodrigues, L. A. L., Bonidia, R. P., & Brancher, J. (2020). Procedural versus human level generation: two sides of the same coin? International Journal of Human-Computer Studies, 141, Se 2020. doi:10.1016/j.ijhcs.2020.102465
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      Rodrigues LAL, Bonidia RP, Brancher J. Procedural versus human level generation: two sides of the same coin? [Internet]. International Journal of Human-Computer Studies. 2020 ; 141 Se 2020.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ijhcs.2020.102465
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      Rodrigues LAL, Bonidia RP, Brancher J. Procedural versus human level generation: two sides of the same coin? [Internet]. International Journal of Human-Computer Studies. 2020 ; 141 Se 2020.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ijhcs.2020.102465
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: REDES COMPLEXAS, REDES SOCIAIS, BENCHMARKS, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      VALEJO, Alan Demetrius Baria et al. A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, v. 62, n. 4, p. 1641-1669, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10115-019-01411-9. Acesso em: 04 nov. 2024.
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      Valejo, A. D. B., Goes, F. R. de, Romanetto, L. de M., Oliveira, M. C. F. de, & Lopes, A. de A. (2020). A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, 62( 4), 1641-1669. doi:10.1007/s10115-019-01411-9
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      Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10115-019-01411-9
    • Vancouver

      Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10115-019-01411-9
  • Source: Computers & Industrial Engineering. Unidade: ICMC

    Subjects: LOGÍSTICA, TRANSBORDO DE CARGA, HEURÍSTICA, CAMINHÕES

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      NOGUEIRA, Thiago Henrique et al. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center. Computers & Industrial Engineering, v. 143, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2020.106391. Acesso em: 04 nov. 2024.
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      Nogueira, T. H., Coutinho, F. P., Ribeiro, R. P., & Ravetti, M. G. (2020). Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center. Computers & Industrial Engineering, 143, 1-15. doi:10.1016/j.cie.2020.106391
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      Nogueira TH, Coutinho FP, Ribeiro RP, Ravetti MG. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center [Internet]. Computers & Industrial Engineering. 2020 ; 143 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cie.2020.106391
    • Vancouver

      Nogueira TH, Coutinho FP, Ribeiro RP, Ravetti MG. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center [Internet]. Computers & Industrial Engineering. 2020 ; 143 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cie.2020.106391
  • Source: Journal of Statistical Mechanics : Theory and Experiment. Unidade: INTER: ICMC -UFSCAR

    Subjects: PROCESSOS ESTOCÁSTICOS, TEOREMAS LIMITES

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      OLIVEIRA, Karina Bindandi Emboaba de e RODRÍGUEZ, Pablo Martín. Limit theorems for a stochastic model of adoption and abandonment innovation on homogeneously mixing populations. Journal of Statistical Mechanics : Theory and Experiment, v. 2020, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ab780c. Acesso em: 04 nov. 2024.
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      Oliveira, K. B. E. de, & Rodríguez, P. M. (2020). Limit theorems for a stochastic model of adoption and abandonment innovation on homogeneously mixing populations. Journal of Statistical Mechanics : Theory and Experiment, 2020, 1-15. doi:10.1088/1742-5468/ab780c
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      Oliveira KBE de, Rodríguez PM. Limit theorems for a stochastic model of adoption and abandonment innovation on homogeneously mixing populations [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2020 ; 2020 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/1742-5468/ab780c
    • Vancouver

      Oliveira KBE de, Rodríguez PM. Limit theorems for a stochastic model of adoption and abandonment innovation on homogeneously mixing populations [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2020 ; 2020 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/1742-5468/ab780c
  • Source: Scientific Reports. Unidades: FFCLRP, ICMC

    Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES

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      GAO, Xubo et al. Temporal network pattern identification by community modelling. Scientific Reports, v. 10, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-57123-1. Acesso em: 04 nov. 2024.
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      Gao, X., Zheng, Q., Vega-Oliveros, D. A., Anghinoni, L., & Liang, Z. (2020). Temporal network pattern identification by community modelling. Scientific Reports, 10, 1-12. doi:10.1038/s41598-019-57123-1
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      Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-57123-1
    • Vancouver

      Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-57123-1
  • Source: Computers and Electronics in Agriculture. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, AGRICULTURA DE PRECISÃO, ADUBO VERDE

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      CALÇADA, Dario Brito e REZENDE, Solange Oliveira e TEODORO, Mauro Sergio. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, v. 159, p. 34-41, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.02.013. Acesso em: 04 nov. 2024.
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      Calçada, D. B., Rezende, S. O., & Teodoro, M. S. (2019). Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, 159, 34-41. doi:10.1016/j.compag.2019.02.013
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      Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
    • Vancouver

      Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
  • Source: Information Systems. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO

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      D'ADDIO, Rafael Martins e MARINHO, Ronnie Shida e MANZATO, Marcelo Garcia. Combining different metadata views for better recommendation accuracy. Information Systems, v. 83, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.is.2019.01.008. Acesso em: 04 nov. 2024.
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      D'Addio, R. M., Marinho, R. S., & Manzato, M. G. (2019). Combining different metadata views for better recommendation accuracy. Information Systems, 83, 1-12. doi:10.1016/j.is.2019.01.008
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      D'Addio RM, Marinho RS, Manzato MG. Combining different metadata views for better recommendation accuracy [Internet]. Information Systems. 2019 ; 83 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.008
    • Vancouver

      D'Addio RM, Marinho RS, Manzato MG. Combining different metadata views for better recommendation accuracy [Internet]. Information Systems. 2019 ; 83 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.008
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, MOBILIDADE URBANA, TRANSPORTE INTERURBANO

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      SPADON, Gabriel et al. Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, v. 9, p. 11801-1-11801-13, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-48295-x. Acesso em: 04 nov. 2024.
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      Spadon, G., Carvalho, A. C. P. de L. F. de, Rodrigues Junior, J. F., & Alves, L. G. de A. (2019). Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, 9, 11801-1-11801-13. doi:10.1038/s41598-019-48295-x
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      Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-48295-x
    • Vancouver

      Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-48295-x
  • Source: Journal of the Operational Research Society. Unidade: EESC

    Subjects: HEURÍSTICA, PROGRAMAÇÃO DA PRODUÇÃO, ENGENHARIA DE PRODUÇÃO

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      ROSSI, Fernando Luis e NAGANO, Marcelo Seido. Heuristics for the mixed no-idle flowshop with sequence-dependent setup times. Journal of the Operational Research Society, 2019Tradução . . Disponível em: https://doi.org/10.1080/01605682.2019.1671149. Acesso em: 04 nov. 2024.
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      Rossi, F. L., & Nagano, M. S. (2019). Heuristics for the mixed no-idle flowshop with sequence-dependent setup times. Journal of the Operational Research Society. doi:10.1080/01605682.2019.1671149
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      Rossi FL, Nagano MS. Heuristics for the mixed no-idle flowshop with sequence-dependent setup times [Internet]. Journal of the Operational Research Society. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2019.1671149
    • Vancouver

      Rossi FL, Nagano MS. Heuristics for the mixed no-idle flowshop with sequence-dependent setup times [Internet]. Journal of the Operational Research Society. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/01605682.2019.1671149
  • Source: Information Systems. Unidade: ICMC

    Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES

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      GONZAGA, André dos Santos e CORDEIRO, Robson Leonardo Ferreira. The similarity-aware relational division database operator with case studies in agriculture and genetics. Information Systems, p. 71-87, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.is.2019.01.002. Acesso em: 04 nov. 2024.
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      Gonzaga, A. dos S., & Cordeiro, R. L. F. (2019). The similarity-aware relational division database operator with case studies in agriculture and genetics. Information Systems, 71-87. doi:10.1016/j.is.2019.01.002
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      Gonzaga A dos S, Cordeiro RLF. The similarity-aware relational division database operator with case studies in agriculture and genetics [Internet]. Information Systems. 2019 ; 71-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.002
    • Vancouver

      Gonzaga A dos S, Cordeiro RLF. The similarity-aware relational division database operator with case studies in agriculture and genetics [Internet]. Information Systems. 2019 ; 71-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.002
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: MODELOS EPIDEMIOLOGICOS, MODELAGEM DE EPIDEMIA, EQUAÇÕES DIFERENCIAIS COM RETARDAMENTO, SISTEMAS DINÂMICOS

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      YOUNG, Lai-Sang et al. Consequences of delays and imperfect implementation of isolation in epidemic control. Scientific Reports, v. 9, p. 3505-1-3505-14, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39714-0. Acesso em: 04 nov. 2024.
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      Young, L. -S., Ruschell, S., Yanchuk, S., & Pereira, T. (2019). Consequences of delays and imperfect implementation of isolation in epidemic control. Scientific Reports, 9, 3505-1-3505-14. doi:10.1038/s41598-019-39714-0
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      Young L-S, Ruschell S, Yanchuk S, Pereira T. Consequences of delays and imperfect implementation of isolation in epidemic control [Internet]. Scientific Reports. 2019 ; 9 3505-1-3505-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-39714-0
    • Vancouver

      Young L-S, Ruschell S, Yanchuk S, Pereira T. Consequences of delays and imperfect implementation of isolation in epidemic control [Internet]. Scientific Reports. 2019 ; 9 3505-1-3505-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-39714-0
  • Source: Information Systems. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, BIG DATA

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      TRAINA, Agma Juci Machado et al. Querying on large and complex databases by content: challenges on variety and veracity regarding real applications. Information Systems, v. 86, p. 10-27, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.is.2019.03.012. Acesso em: 04 nov. 2024.
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      Traina, A. J. M., Brinis, S., Pedrosa, G. V., Avalhais, L. P. S., & Traina Junior, C. (2019). Querying on large and complex databases by content: challenges on variety and veracity regarding real applications. Information Systems, 86, 10-27. doi:10.1016/j.is.2019.03.012
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      Traina AJM, Brinis S, Pedrosa GV, Avalhais LPS, Traina Junior C. Querying on large and complex databases by content: challenges on variety and veracity regarding real applications [Internet]. Information Systems. 2019 ; 86 10-27.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.03.012
    • Vancouver

      Traina AJM, Brinis S, Pedrosa GV, Avalhais LPS, Traina Junior C. Querying on large and complex databases by content: challenges on variety and veracity regarding real applications [Internet]. Information Systems. 2019 ; 86 10-27.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.03.012
  • Source: Scientific Data. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, COMPUTAÇÃO APLICADA, MATERIAIS

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      KONONOVA, Olga et al. Text-mined dataset of inorganic materials synthesis recipes. Scientific Data, v. 6, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41597-019-0224-1. Acesso em: 04 nov. 2024.
    • APA

      Kononova, O., Huo, H., He, T., Rong, Z., Botari, T., Sun, W., et al. (2019). Text-mined dataset of inorganic materials synthesis recipes. Scientific Data, 6, 1-11. doi:10.1038/s41597-019-0224-1
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      Kononova O, Huo H, He T, Rong Z, Botari T, Sun W, Tshitoyan V, Ceder G. Text-mined dataset of inorganic materials synthesis recipes [Internet]. Scientific Data. 2019 ; 6 1-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41597-019-0224-1
    • Vancouver

      Kononova O, Huo H, He T, Rong Z, Botari T, Sun W, Tshitoyan V, Ceder G. Text-mined dataset of inorganic materials synthesis recipes [Internet]. Scientific Data. 2019 ; 6 1-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41597-019-0224-1
  • Source: Scientific Reports. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, CONGRESSO NACIONAL, CORRUPÇÃO

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      COLLIRI, Tiago Santos e LIANG, Zhao. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, v. No 2019, p. 16754-1-16754-11, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-53252-9. Acesso em: 04 nov. 2024.
    • APA

      Colliri, T. S., & Liang, Z. (2019). Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, No 2019, 16754-1-16754-11. doi:10.1038/s41598-019-53252-9
    • NLM

      Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-53252-9
    • Vancouver

      Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/s41598-019-53252-9
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO

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    • ABNT

      MELLO, Rodrigo Fernandes de e MANAPRAGADA, Chaitanya e BIFET, Albert. Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, v. 137, p. 443-452, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 04 nov. 2024.
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      Mello, R. F. de, Manapragada, C., & Bifet, A. (2019). Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, 137, 443-452. doi:10.1016/j.eswa.2019.07.012
    • NLM

      Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
    • Vancouver

      Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012

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