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Filtros : "AMANCIO, DIEGO RAPHAEL" "2024" Removido: "Bagnoli, Vicente Renato" Limpar

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1 - 4 (4 records)

  • Artigo de periodico-carta/editorial

    History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] (2024)

    Brito, Ana Caroline Medeiros ; Oliveira, Maria Cristina Ferreira de ; Oliveira Junior, Osvaldo Novais de ; Silva, Filipi Nascimento ; Amancio, Diego Raphael

    Source: Chemistry of Materials. Unidades: ICMC, IFSC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, CIENTOMETRIA, MATERIAIS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      BRITO, Ana Caroline Medeiros et al. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial]. Chemistry of Materials. Washington: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.chemmater.3c02962. Acesso em: 05 jun. 2024. , 2024

    • APA

      Brito, A. C. M., Oliveira, M. C. F. de, Oliveira Junior, O. N. de, Silva, F. N., & Amancio, D. R. (2024). History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial]. Chemistry of Materials. Washington: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1021/acs.chemmater.3c02962

    • NLM

      Brito ACM, Oliveira MCF de, Oliveira Junior ON de, Silva FN, Amancio DR. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] [Internet]. Chemistry of Materials. 2024 ; 36( Ja 2024): 1-7.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1021/acs.chemmater.3c02962

    • Vancouver

      Brito ACM, Oliveira MCF de, Oliveira Junior ON de, Silva FN, Amancio DR. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] [Internet]. Chemistry of Materials. 2024 ; 36( Ja 2024): 1-7.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1021/acs.chemmater.3c02962

  • Artigo de periodico

    Using full-text content to characterize and identify best seller books: a study of early 20th-century literature (2024)

    Silva, Giovana Daniele da ; Silva, Filipi Nascimento ; Arruda, Henrique Ferraz de ; Souza, Bárbara Côrtes e ; Costa, Luciano da Fontoura ; Amancio, Diego Raphael

    Source: PLOS ONE. Unidades: IFSC, ICMC

    Subjects: CIÊNCIA DA COMPUTAÇÃO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      SILVA, Giovana Daniele da et al. Using full-text content to characterize and identify best seller books: a study of early 20th-century literature. PLOS ONE, v. 19, n. 4, p. e0302070-1-e0302070-20 + supporting information, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0302070. Acesso em: 05 jun. 2024.

    • APA

      Silva, G. D. da, Silva, F. N., Arruda, H. F. de, Souza, B. C. e, Costa, L. da F., & Amancio, D. R. (2024). Using full-text content to characterize and identify best seller books: a study of early 20th-century literature. PLOS ONE, 19( 4), e0302070-1-e0302070-20 + supporting information. doi:10.1371/journal.pone.0302070

    • NLM

      Silva GD da, Silva FN, Arruda HF de, Souza BC e, Costa L da F, Amancio DR. Using full-text content to characterize and identify best seller books: a study of early 20th-century literature [Internet]. PLOS ONE. 2024 ; 19( 4): e0302070-1-e0302070-20 + supporting information.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1371/journal.pone.0302070

    • Vancouver

      Silva GD da, Silva FN, Arruda HF de, Souza BC e, Costa L da F, Amancio DR. Using full-text content to characterize and identify best seller books: a study of early 20th-century literature [Internet]. PLOS ONE. 2024 ; 19( 4): e0302070-1-e0302070-20 + supporting information.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1371/journal.pone.0302070

  • Artigo de periodico

    Recovering network topology and dynamics from sequences: a machine learning approach (2024)

    Guerreiro, Lucas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael

    Source: Physica A : statistical mechanics and its applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, HEURÍSTICA

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    • ABNT

      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, v. 638, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129618. Acesso em: 05 jun. 2024.

    • APA

      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, 638, 1-13. doi:10.1016/j.physa.2024.129618

    • NLM

      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.physa.2024.129618

    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.physa.2024.129618

  • Artigo de periodico

    Identifying the perceived local properties of networks reconstructed from biased random walks (2024)

    Guerreiro, Lucas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael

    Source: PLOS ONE. Unidade: ICMC

    Assunto: REDES COMPLEXAS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Identifying the perceived local properties of networks reconstructed from biased random walks. PLOS ONE, v. 19, n. 1, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0296088. Acesso em: 05 jun. 2024.

    • APA

      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Identifying the perceived local properties of networks reconstructed from biased random walks. PLOS ONE, 19( 1), 1-18. doi:10.1371/journal.pone.0296088

    • NLM

      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLOS ONE. 2024 ; 19( 1): 1-18.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1371/journal.pone.0296088

    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLOS ONE. 2024 ; 19( 1): 1-18.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1371/journal.pone.0296088
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