Filtros : "IME-MAC" "Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)" Removidos: "IFSC222" "CIENCIA POLITICA" "Duarte, Marco Antonio Hungaro" "FERRAZ, KATIA MARIA PASCHOALETTO MICCHI DE BARROS" "Nova Zelândia" Limpar

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  • Source: Proceedings. Conference titles: Latin American Symposium on Theoretical Informatics - LATIN. Unidade: IME

    Assunto: TEORIA DOS GRAFOS

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      FERNANDES, Cristina Gomes e MOTA, Guilherme Oliveira e SANHUEZA-MATAMALA, Nicolás. Separating path systems in complete graphs. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-55601-2_7. Acesso em: 18 nov. 2024.
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      Fernandes, C. G., Mota, G. O., & Sanhueza-Matamala, N. (2024). Separating path systems in complete graphs. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-55601-2_7
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      Fernandes CG, Mota GO, Sanhueza-Matamala N. Separating path systems in complete graphs [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-55601-2_7
    • Vancouver

      Fernandes CG, Mota GO, Sanhueza-Matamala N. Separating path systems in complete graphs [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-55601-2_7
  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS

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      MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. An algorithm to train unrestricted sequential discrete morphological neural networks. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_14. Acesso em: 18 nov. 2024.
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      Marcondes, D., Feldman, M. de S., & Barrera, J. (2024). An algorithm to train unrestricted sequential discrete morphological neural networks. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_14
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      Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
    • Vancouver

      Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, OPERADORES

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      MARCONDES, Diego e BARRERA, Junior. The lattice overparametrization paradigm for the machine learning of lattice operators. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_16. Acesso em: 18 nov. 2024.
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      Marcondes, D., & Barrera, J. (2024). The lattice overparametrization paradigm for the machine learning of lattice operators. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_16
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      Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
    • Vancouver

      Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
  • Source: Empirical Software Engineering. Unidade: IME

    Subjects: ENGENHARIA DE SOFTWARE, DESENVOLVIMENTO DE SOFTWARE

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      GUERRA, Eduardo Martins et al. How do annotations affect Java code readability?. Empirical Software Engineering, v. 29, n. artigo 62, p. 1-31, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10664-024-10460-w. Acesso em: 18 nov. 2024.
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      Guerra, E. M., Gomes, E., Ferreira, J., Wiese, I., Lima, P., Gerosa, M. A., & Meirelles, P. (2024). How do annotations affect Java code readability? Empirical Software Engineering, 29( artigo 62), 1-31. doi:10.1007/s10664-024-10460-w
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      Guerra EM, Gomes E, Ferreira J, Wiese I, Lima P, Gerosa MA, Meirelles P. How do annotations affect Java code readability? [Internet]. Empirical Software Engineering. 2024 ; 29( artigo 62): 1-31.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10664-024-10460-w
    • Vancouver

      Guerra EM, Gomes E, Ferreira J, Wiese I, Lima P, Gerosa MA, Meirelles P. How do annotations affect Java code readability? [Internet]. Empirical Software Engineering. 2024 ; 29( artigo 62): 1-31.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10664-024-10460-w
  • Source: Nature Machine Intelligence. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      MARCONDES, Diego e SIMONIS, Adilson e BARRERA, Junior. Back to basics to open the black box. Nature Machine Intelligence, v. 6, p. 498-501, 2024Tradução . . Disponível em: https://doi.org/10.1038/s42256-024-00842-6. Acesso em: 18 nov. 2024.
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      Marcondes, D., Simonis, A., & Barrera, J. (2024). Back to basics to open the black box. Nature Machine Intelligence, 6, 498-501. doi:10.1038/s42256-024-00842-6
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      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
    • Vancouver

      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SANTOS, Luiz Felipe Dolabela e KLEINE, Felipe Augusto de Souza e MIRANDA, Paulo André Vechiatto de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_26. Acesso em: 18 nov. 2024. , 2024
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      Santos, L. F. D., Kleine, F. A. de S., & Miranda, P. A. V. de. (2024). Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-57793-2_26
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      Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
    • Vancouver

      Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
  • Source: Monthly Notices of the Royal Astronomical Society. Unidades: IME, IAG

    Subjects: QUASARES, GALÁXIAS, COMPUTAÇÃO APLICADA, FOTOMETRIA, PROBABILIDADE

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      NAKAZONO, Lilianne Mariko Izuti et al. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, v. 531, n. 1, p. 327-339, 2024Tradução . . Disponível em: https://doi.org/10.1093/mnras/stae971. Acesso em: 18 nov. 2024.
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      Nakazono, L. M. I., Valença, R. R., Soares, G., Izbicki, R., Ivezić, Ž., Lima, E. V. R. D., et al. (2024). The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, 531( 1), 327-339. doi:10.1093/mnras/stae971
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      Nakazono LMI, Valença RR, Soares G, Izbicki R, Ivezić Ž, Lima EVRD, Hirata NST, Sodré Júnior L, Overzier R, Fernandes F de A, Schwarz GBO , Schoenell W, Kanaan A, Ribeiro T, Oliveira CM de. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 531( 1): 327-339.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1093/mnras/stae971
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      Nakazono LMI, Valença RR, Soares G, Izbicki R, Ivezić Ž, Lima EVRD, Hirata NST, Sodré Júnior L, Overzier R, Fernandes F de A, Schwarz GBO , Schoenell W, Kanaan A, Ribeiro T, Oliveira CM de. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 531( 1): 327-339.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1093/mnras/stae971
  • Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME

    Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, PLÂNCTON

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      HIRATA, Nina Sumiko Tomita e MORIMITSU, Alexandre e GOULART, Antonio José Homsi. Separating particles from plankton images. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-37731-0_33. Acesso em: 18 nov. 2024.
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      Hirata, N. S. T., Morimitsu, A., & Goulart, A. J. H. (2023). Separating particles from plankton images. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-37731-0_33
    • NLM

      Hirata NST, Morimitsu A, Goulart AJH. Separating particles from plankton images [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-37731-0_33
    • Vancouver

      Hirata NST, Morimitsu A, Goulart AJH. Separating particles from plankton images [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-37731-0_33
  • Source: Mathematics of Computation. Unidade: IME

    Subjects: CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO

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      BIRGIN, Ernesto Julian Goldberg e LAURAIN, Antoine e MENEZES, Tiago da Costa. Sensitivity analysis and tailored design of minimization diagrams. Mathematics of Computation, v. 92, p. 2715-2768, 2023Tradução . . Disponível em: https://doi.org/10.1090/mcom/3839. Acesso em: 18 nov. 2024.
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      Birgin, E. J. G., Laurain, A., & Menezes, T. da C. (2023). Sensitivity analysis and tailored design of minimization diagrams. Mathematics of Computation, 92, 2715-2768. doi:10.1090/mcom/3839
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      Birgin EJG, Laurain A, Menezes T da C. Sensitivity analysis and tailored design of minimization diagrams [Internet]. Mathematics of Computation. 2023 ; 92 2715-2768.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1090/mcom/3839
    • Vancouver

      Birgin EJG, Laurain A, Menezes T da C. Sensitivity analysis and tailored design of minimization diagrams [Internet]. Mathematics of Computation. 2023 ; 92 2715-2768.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1090/mcom/3839
  • Source: bioRxiv. Unidades: IME, IQ

    Subjects: ENVELHECIMENTO, EXPRESSÃO GÊNICA

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      BATALHA, Caio M. P. F e FUJITA, André e SOUZA-PINTO, Nadja Cristhina de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv, 2023Tradução . . Disponível em: https://doi.org/10.1101/2023.05.26.542445. Acesso em: 18 nov. 2024.
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      Batalha, C. M. P. F., Fujita, A., & Souza-Pinto, N. C. de. (2023). Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv. doi:10.1101/2023.05.26.542445
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      Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1101/2023.05.26.542445
    • Vancouver

      Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1101/2023.05.26.542445
  • Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA

    Subjects: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      SOUSA, Ronaldo Nogueira de et al. Exploring identifiability in hybrid models of cell signaling pathways. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_14. Acesso em: 18 nov. 2024.
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      Sousa, R. N. de, Campos, C. G. S., Wang, W., Hashimoto, R. F., Armelin, H. A., & Reis, M. S. (2023). Exploring identifiability in hybrid models of cell signaling pathways. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_14
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      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
    • Vancouver

      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
  • Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics - VISIGRAPP. Unidade: IME

    Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS

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      OLIVEIRA, Artur André Almeida de Macedo et al. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-25477-2_7. Acesso em: 18 nov. 2024.
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      Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., Hirata, N. S. T., & Telea, A. C. (2023). Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-25477-2_7
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      Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
    • Vancouver

      Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
  • Source: Proceedings. Conference titles: International Conference on Wave Mechanics and Vibrations - WMVC. Unidade: IME

    Subjects: INSTRUMENTO MUSICAL DE CORDA, SINTESE DO SOM, COMPUTAÇÃO MUSICAL

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      PAIVA, Guilherme Orelli e QUEIROZ, Marcelo Gomes de e MACHADO, Marcela R. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-15758-5_92. Acesso em: 18 nov. 2024.
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      Paiva, G. O., Queiroz, M. G. de, & Machado, M. R. (2023). Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-15758-5_92
    • NLM

      Paiva GO, Queiroz MG de, Machado MR. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-15758-5_92
    • Vancouver

      Paiva GO, Queiroz MG de, Machado MR. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument [Internet]. Proceedings. 2023 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-15758-5_92
  • Source: Intelligent Systems Reference Library: Living Beyond Data. Unidade: IME

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BANDINI, Stefania e GASPARINI, Framcesca e SILVA, Flávio Soares Corrêa da. Positive artificial intelligence meets affective walkability. Intelligent Systems Reference Library: Living Beyond Data, v. 230, n. , p. 161-178, 2022Tradução . . Disponível em: https://doi.org/10.1007/978-3-031-11593-6_9. Acesso em: 18 nov. 2024.
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      Bandini, S., Gasparini, F., & Silva, F. S. C. da. (2022). Positive artificial intelligence meets affective walkability. Intelligent Systems Reference Library: Living Beyond Data, 230( ), 161-178. doi:10.1007/978-3-031-11593-6_9
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      Bandini S, Gasparini F, Silva FSC da. Positive artificial intelligence meets affective walkability [Internet]. Intelligent Systems Reference Library: Living Beyond Data. 2022 ; 230( ): 161-178.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-11593-6_9
    • Vancouver

      Bandini S, Gasparini F, Silva FSC da. Positive artificial intelligence meets affective walkability [Internet]. Intelligent Systems Reference Library: Living Beyond Data. 2022 ; 230( ): 161-178.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-11593-6_9
  • Source: Mechanisms and Machine Science. Conference titles: International Conference on Wave Mechanics and Vibrations - WMVC. Unidade: IME

    Subjects: INSTRUMENTOS MUSICAIS, SINTESE DO SOM, COMPUTAÇÃO MUSICAL

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      PAIVA, Guilherme Orelli e QUEIROZ, Marcelo Gomes de e MACHADO, Marcela R. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument. Mechanisms and Machine Science. Dordrecht: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-15758-5_92. Acesso em: 18 nov. 2024. , 2022
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      Paiva, G. O., Queiroz, M. G. de, & Machado, M. R. (2022). Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument. Mechanisms and Machine Science. Dordrecht: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-031-15758-5_92
    • NLM

      Paiva GO, Queiroz MG de, Machado MR. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument [Internet]. Mechanisms and Machine Science. 2022 ; 125 890–899.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-15758-5_92
    • Vancouver

      Paiva GO, Queiroz MG de, Machado MR. Study of the influence of wood mechanical properties variability on the sound synthesis of a simplified string instrument [Internet]. Mechanisms and Machine Science. 2022 ; 125 890–899.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-15758-5_92
  • Source: SIAM Journal on Numerical Analysis. Unidade: IME

    Subjects: ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations. SIAM Journal on Numerical Analysis, v. 60, n. 6, p. 3145-3180, 2022Tradução . . Disponível em: https://doi.org/10.1137/20M1388024. Acesso em: 18 nov. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2022). Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations. SIAM Journal on Numerical Analysis, 60( 6), 3145-3180. doi:10.1137/20M1388024
    • NLM

      Birgin EJG, Martínez JM. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations [Internet]. SIAM Journal on Numerical Analysis. 2022 ; 60( 6): 3145-3180.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1137/20M1388024
    • Vancouver

      Birgin EJG, Martínez JM. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations [Internet]. SIAM Journal on Numerical Analysis. 2022 ; 60( 6): 3145-3180.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1137/20M1388024
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BRAZ, Caio de Moraes e SANTOS, Luiz Felipe D. e MIRANDA, Paulo André Vechiatto de. Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_23. Acesso em: 18 nov. 2024. , 2022
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      Braz, C. de M., Santos, L. F. D., & Miranda, P. A. V. de. (2022). Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-19897-7_23
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      Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
    • Vancouver

      Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
  • Source: Journal of Complex Networks. Unidade: IME

    Subjects: COMBINATÓRIA, TEORIA DOS GRAFOS

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      GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. A fast parameter estimator for large complex networks. Journal of Complex Networks, v. 10, n. artigo cnac022. p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac022. Acesso em: 18 nov. 2024.
    • APA

      Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2022). A fast parameter estimator for large complex networks. Journal of Complex Networks, 10( artigo cnac022. p. 1-11). doi:10.1093/comnet/cnac022
    • NLM

      Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 nov. 18 ] Available from: https://doi.org/10.1093/comnet/cnac022
    • Vancouver

      Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 nov. 18 ] Available from: https://doi.org/10.1093/comnet/cnac022
  • Source: Chaos, Solitons & Fractals. Unidade: IME

    Subjects: TEORIA DA BIFURCAÇÃO, MÉTODOS GRÁFICOS, CAOS (SISTEMAS DINÂMICOS)

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      COSTA, Diogo Ricardo da et al. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, v. 155, n. artigo 111707, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111707. Acesso em: 18 nov. 2024.
    • APA

      Costa, D. R. da, Fujita, A., Batista, A. M., Sales, M. R., & Szezech Junior, J. D. (2022). Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, 155( artigo 111707), 1-8. doi:10.1016/j.chaos.2021.111707
    • NLM

      Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707
    • Vancouver

      Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Assunto: COMPUTAÇÃO APLICADA

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      CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_24. Acesso em: 18 nov. 2024. , 2022
    • APA

      Condori, M. A. T., & Miranda, P. A. V. de. (2022). Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-031-19897-7_24
    • NLM

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
    • Vancouver

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24

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