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Artigo de periodico
Many-objectives optimization: a machine learning approach for reducing the number of objectives (2023)
Gaspar-Cunha, António ; Costa, Paulo; Monaco, Francisco José ; Delbem, Alexandre Cláudio Botazzo
Source: Mathematical and Computational Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BENCHMARKS, MINERAÇÃO DE DADOS
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ABNT
GASPAR-CUNHA, António et al. Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, v. 28, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/mca28010017. Acesso em: 05 nov. 2024.
APA
Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, 28, 1-19. doi:10.3390/mca28010017
NLM
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/mca28010017
Vancouver
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/mca28010017
Artigo de periodico
Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window (2023)
Rolim, Gustavo Alencar; Nagano, Marcelo Seido ; Prata, Bruno de Athayde
Source: Computers and Operations Research. Unidade: EESC
Subjects: BENCHMARKS, HEURÍSTICA, SEMICONDUTORES, ENGENHARIA DE PRODUÇÃO
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ABNT
ROLIM, Gustavo Alencar e NAGANO, Marcelo Seido e PRATA, Bruno de Athayde. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window. Computers and Operations Research, v. 153, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2023.106159. Acesso em: 05 nov. 2024.
APA
Rolim, G. A., Nagano, M. S., & Prata, B. de A. (2023). Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window. Computers and Operations Research, 153, 1-18. doi:10.1016/j.cor.2023.106159
NLM
Rolim GA, Nagano MS, Prata B de A. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window [Internet]. Computers and Operations Research. 2023 ; 153 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cor.2023.106159
Vancouver
Rolim GA, Nagano MS, Prata B de A. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window [Internet]. Computers and Operations Research. 2023 ; 153 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cor.2023.106159
Artigo de periodico
Continual object detection: a review of definitions, strategies, and challenges (2023)
Menezes, Angelo Garangau ; Moura, Gustavo de; Alves, Cézanne; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BENCHMARKS, REVISÃO SISTEMÁTICA
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ABNT
MENEZES, Angelo Garangau et al. Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, v. 161, p. 476-493, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2023.01.041. Acesso em: 05 nov. 2024.
APA
Menezes, A. G., Moura, G. de, Alves, C., & Carvalho, A. C. P. de L. F. de. (2023). Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, 161, 476-493. doi:10.1016/j.neunet.2023.01.041
NLM
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Vancouver
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Artigo de periodico
Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks (2023)
Martin, Mateus ; Yanasse, Horacio Hideki ; Santos, Maristela Oliveira dos ; Morabito, Reinaldo
Source: International Journal of Production Research. Unidade: ICMC
Subjects: CORTE, ESTOQUES, PROGRAMAÇÃO LINEAR, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTIN, Mateus et al. Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks. International Journal of Production Research, v. 61, n. 9, p. 2895-2916, 2023Tradução . . Disponível em: https://doi.org/10.1080/00207543.2022.2070882. Acesso em: 05 nov. 2024.
APA
Martin, M., Yanasse, H. H., Santos, M. O. dos, & Morabito, R. (2023). Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks. International Journal of Production Research, 61( 9), 2895-2916. doi:10.1080/00207543.2022.2070882
NLM
Martin M, Yanasse HH, Santos MO dos, Morabito R. Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks [Internet]. International Journal of Production Research. 2023 ; 61( 9): 2895-2916.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/00207543.2022.2070882
Vancouver
Martin M, Yanasse HH, Santos MO dos, Morabito R. Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks [Internet]. International Journal of Production Research. 2023 ; 61( 9): 2895-2916.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/00207543.2022.2070882
Artigo de periodico
Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints (2022)
Silva, Lorrany Cristina da; Queiroz, Thiago Alves de ; Toledo, Franklina Maria Bragion de
Source: Pesquisa Operacional. Unidade: ICMC
Subjects: PROGRAMAÇÃO LINEAR, BENCHMARKS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Lorrany Cristina da e QUEIROZ, Thiago Alves de e TOLEDO, Franklina Maria Bragion de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints. Pesquisa Operacional, v. 42, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2022.042.00248686. Acesso em: 05 nov. 2024.
APA
Silva, L. C. da, Queiroz, T. A. de, & Toledo, F. M. B. de. (2022). Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints. Pesquisa Operacional, 42, 1-27. doi:10.1590/0101-7438.2022.042.00248686
NLM
Silva LC da, Queiroz TA de, Toledo FMB de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints [Internet]. Pesquisa Operacional. 2022 ; 42 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
Vancouver
Silva LC da, Queiroz TA de, Toledo FMB de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints [Internet]. Pesquisa Operacional. 2022 ; 42 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
Artigo de periodico
Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods (2022)
Jaramillo, Alfredo ; Guiraldello, Rafael Trevisanuto ; Sanchez, Stevens Paz ; Ausas, Roberto Federico ; Sousa, Fabricio Simeoni de ; Pereira, Felipe; Buscaglia, Gustavo Carlos
Source: Computational Geosciences. Unidades: ICMC, IRI
Subjects: AVALIAÇÃO DE DESEMPENHO, ESCOAMENTO BIFÁSICO, BENCHMARKS
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ABNT
JARAMILLO, Alfredo et al. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, v. 26, p. 481-501, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10596-022-10131-z. Acesso em: 05 nov. 2024.
APA
Jaramillo, A., Guiraldello, R. T., Sanchez, S. P., Ausas, R. F., Sousa, F. S. de, Pereira, F., & Buscaglia, G. C. (2022). Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, 26, 481-501. doi:10.1007/s10596-022-10131-z
NLM
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10596-022-10131-z
Vancouver
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10596-022-10131-z
Trabalho de evento-anais periodico
A novel melt pool mapping technique towards the online monitoring of directed energy deposition operations (2021)
Ribeiro, Kandice Suane Barros ; Nuñez, Henrique Hiram Libutti; Jones, Jason B; Coates, Peter; Coelho, Reginaldo Teixeira
Source: Procedia Manufacturing. Conference titles: SME North American Manufacturing Research Conference - NAMRC. Unidades: EESC, ICMC
Subjects: MANUFATURA, DESENVOLVIMENTO DE SOFTWARE, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Kandice Suane Barros et al. A novel melt pool mapping technique towards the online monitoring of directed energy deposition operations. Procedia Manufacturing. Amsterdam: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.promfg.2021.06.058. Acesso em: 05 nov. 2024. , 2021
APA
Ribeiro, K. S. B., Nuñez, H. H. L., Jones, J. B., Coates, P., & Coelho, R. T. (2021). A novel melt pool mapping technique towards the online monitoring of directed energy deposition operations. Procedia Manufacturing. Amsterdam: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1016/j.promfg.2021.06.058
NLM
Ribeiro KSB, Nuñez HHL, Jones JB, Coates P, Coelho RT. A novel melt pool mapping technique towards the online monitoring of directed energy deposition operations [Internet]. Procedia Manufacturing. 2021 ; 53 576-584.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.promfg.2021.06.058
Vancouver
Ribeiro KSB, Nuñez HHL, Jones JB, Coates P, Coelho RT. A novel melt pool mapping technique towards the online monitoring of directed energy deposition operations [Internet]. Procedia Manufacturing. 2021 ; 53 576-584.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.promfg.2021.06.058
Artigo de periodico
A benchmarking tool for the generation of bipartite network models with overlapping communities (2020)
Valejo, Alan Demetrius Baria ; Goes, Fabiana Rodrigues de ; Romanetto, Luzia de Menezes ; Oliveira, Maria Cristina Ferreira de ; Lopes, Alneu de Andrade
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: REDES COMPLEXAS, REDES SOCIAIS, BENCHMARKS, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 05 nov. 2024.
APA
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
NLM
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. 05 ] 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. 05 ] Available from: https://doi.org/10.1007/s10115-019-01411-9
Artigo de periodico
Challenges in benchmarking stream learning algorithms with real-world data (2020)
Souza, Vinícius Mourão Alves de ; Reis, Denis Moreira dos ; Maletzke, André Gustavo ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Vinícius Mourão Alves de et al. Challenges in benchmarking stream learning algorithms with real-world data. Data Mining and Knowledge Discovery, v. No 2020, n. 6, p. 1805-1858, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10618-020-00698-5. Acesso em: 05 nov. 2024.
APA
Souza, V. M. A. de, Reis, D. M. dos, Maletzke, A. G., & Batista, G. E. de A. P. A. (2020). Challenges in benchmarking stream learning algorithms with real-world data. Data Mining and Knowledge Discovery, No 2020( 6), 1805-1858. doi:10.1007/s10618-020-00698-5
NLM
Souza VMA de, Reis DM dos, Maletzke AG, Batista GE de APA. Challenges in benchmarking stream learning algorithms with real-world data [Internet]. Data Mining and Knowledge Discovery. 2020 ; No 2020( 6): 1805-1858.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-020-00698-5
Vancouver
Souza VMA de, Reis DM dos, Maletzke AG, Batista GE de APA. Challenges in benchmarking stream learning algorithms with real-world data [Internet]. Data Mining and Knowledge Discovery. 2020 ; No 2020( 6): 1805-1858.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-020-00698-5
Artigo de periodico
Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression (2018)
Bui, Tu; Ribeiro, Leonardo; Ponti, Moacir Antonelli ; Collomosse, John
Source: Computers & Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, Tu et al. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, v. 71, p. 77-87, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2017.12.006. Acesso em: 05 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2018). Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, 71, 77-87. doi:10.1016/j.cag.2017.12.006
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006

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