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  • Source: Information Sciences. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      SOUZA, Bárbara Côrtes e et al. Text characterization based on recurrence networks. Information Sciences, v. 641, p. 119124-1-119124-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2023.119124. Acesso em: 07 out. 2024.
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      Souza, B. C. e, Silva, F. N., Arruda, H. F. de, Silva, G. D. da, Costa, L. da F., & Amancio, D. R. (2023). Text characterization based on recurrence networks. Information Sciences, 641, 119124-1-119124-15. doi:10.1016/j.ins.2023.119124
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      Souza BC e, Silva FN, Arruda HF de, Silva GD da, Costa L da F, Amancio DR. Text characterization based on recurrence networks [Internet]. Information Sciences. 2023 ; 641 119124-1-119124-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2023.119124
    • Vancouver

      Souza BC e, Silva FN, Arruda HF de, Silva GD da, Costa L da F, Amancio DR. Text characterization based on recurrence networks [Internet]. Information Sciences. 2023 ; 641 119124-1-119124-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2023.119124
  • Source: Information Sciences. Unidade: IFSC

    Subjects: REDES COMPLEXAS, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      ARRUDA, Henrique Ferraz de et al. Modelling how social network algorithms can influence opinion polarization. Information Sciences, v. 588, p. 265-278 , 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.12.069. Acesso em: 07 out. 2024.
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      Arruda, H. F. de, Cardoso, F. M., Arruda, G. F. de, Hernández, A. R., Costa, L. da F., & Moreno, Y. (2022). Modelling how social network algorithms can influence opinion polarization. Information Sciences, 588, 265-278 . doi:10.1016/j.ins.2021.12.069
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      Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
    • Vancouver

      Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
  • Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC

    Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL

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      ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 07 out. 2024.
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      Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123
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      Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
    • Vancouver

      Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
  • Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL

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      RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 07 out. 2024.
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      Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114
    • NLM

      Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
    • Vancouver

      Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
  • Source: Physical Review E. Unidades: ICMC, IFSC

    Subjects: MATRIZES, MATEMÁTICA APLICADA, REDES COMPLEXAS

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      PERON, Thomas et al. Spacing ratio characterization of the spectra of directed random networks. Physical Review E, v. 102, n. 6, p. 062305-1-062305-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.102.062305. Acesso em: 07 out. 2024.
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      Peron, T., Resende, B. M. F. de, Rodrigues, F. A., Costa, L. da F., & Méndez-Bermúdez, J. A. (2020). Spacing ratio characterization of the spectra of directed random networks. Physical Review E, 102( 6), 062305-1-062305-9. doi:10.1103/PhysRevE.102.062305
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      Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 out. 07 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
    • Vancouver

      Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 out. 07 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
  • Source: Information Sciences. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES COMPLEXAS

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      RIBAS, Lucas Correia e MACHICAO, Jeaneth e BRUNO, Odemir Martinez. Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, v. 55, p. 156-168, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.09.063. Acesso em: 07 out. 2024.
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      Ribas, L. C., Machicao, J., & Bruno, O. M. (2020). Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, 55, 156-168. doi:10.1016/j.ins.2019.09.063
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      Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2019.09.063
    • Vancouver

      Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2019.09.063
  • Source: PLOS ONE. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, CÂMARA DOS DEPUTADOS, POLÍTICA

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      BRITO, Ana Caroline Medeiros e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. A complex network approach to political analysis: application to the Brazilian chamber of deputies. PLOS ONE, v. 15, n. 3, p. e0229928-1-e0229928-21, 2020Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0229928. Acesso em: 07 out. 2024.
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      Brito, A. C. M., Silva, F. N., & Amancio, D. R. (2020). A complex network approach to political analysis: application to the Brazilian chamber of deputies. PLOS ONE, 15( 3), e0229928-1-e0229928-21. doi:10.1371/journal.pone.0229928
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      Brito ACM, Silva FN, Amancio DR. A complex network approach to political analysis: application to the Brazilian chamber of deputies [Internet]. PLOS ONE. 2020 ; 15( 3): e0229928-1-e0229928-21.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0229928
    • Vancouver

      Brito ACM, Silva FN, Amancio DR. A complex network approach to political analysis: application to the Brazilian chamber of deputies [Internet]. PLOS ONE. 2020 ; 15( 3): e0229928-1-e0229928-21.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0229928
  • Source: Information Sciences. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      SCABINI, Leonardo Felipe dos Santos e RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Spatio-spectral networks for color-texture analysis. Information Sciences, v. 515, p. 64-79, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.11.042. Acesso em: 07 out. 2024.
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      Scabini, L. F. dos S., Ribas, L. C., & Bruno, O. M. (2020). Spatio-spectral networks for color-texture analysis. Information Sciences, 515, 64-79. doi:10.1016/j.ins.2019.11.042
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      Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2019.11.042
    • Vancouver

      Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2019.11.042
  • Source: IEEE Transactions on Cybernetics. Unidade: IFSC

    Subjects: TEXTURA, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      CANTERO, Sávio Vinícius Albieri Barone et al. Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, v. 50, n. 2, p. 777-786, 2020Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2018.2873135. Acesso em: 07 out. 2024.
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      Cantero, S. V. A. B., Gonçalves, D. N., Scabini, L. F. dos S., & Gonçalves, W. N. (2020). Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, 50( 2), 777-786. doi:10.1109/TCYB.2018.2873135
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      Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
    • Vancouver

      Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
  • Source: Chaos. Unidade: IFSC

    Subjects: REDES COMPLEXAS, TRANSFORMADA DE LAPLACE, PROCESSOS ESTOCÁSTICOS

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      RESENDE, Bruno Messias Farias de e COSTA, Luciano da Fontoura. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian. Chaos, v. 30, n. 7, p. 073141-1-073141-8, 2020Tradução . . Disponível em: https://doi.org/10.1063/5.0006891. Acesso em: 07 out. 2024.
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      Resende, B. M. F. de, & Costa, L. da F. (2020). Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian. Chaos, 30( 7), 073141-1-073141-8. doi:10.1063/5.0006891
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      Resende BMF de, Costa L da F. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian [Internet]. Chaos. 2020 ; 30( 7): 073141-1-073141-8.[citado 2024 out. 07 ] Available from: https://doi.org/10.1063/5.0006891
    • Vancouver

      Resende BMF de, Costa L da F. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian [Internet]. Chaos. 2020 ; 30( 7): 073141-1-073141-8.[citado 2024 out. 07 ] Available from: https://doi.org/10.1063/5.0006891
  • Source: PLOS ONE. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, SISTEMAS DISCRETOS

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      MACHICAO, Jeaneth et al. Authorship attribution based on life-like network automata. PLOS ONE, v. 13, n. 3, p. e0193703-1-e0193703-21, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0193703. Acesso em: 07 out. 2024.
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      Machicao, J., Corrêa Jr., E. A., Miranda, G. H. B., Amancio, D. R., & Bruno, O. M. (2018). Authorship attribution based on life-like network automata. PLOS ONE, 13( 3), e0193703-1-e0193703-21. doi:10.1371/journal.pone.0193703
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      Machicao J, Corrêa Jr. EA, Miranda GHB, Amancio DR, Bruno OM. Authorship attribution based on life-like network automata [Internet]. PLOS ONE. 2018 ; 13( 3): e0193703-1-e0193703-21.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0193703
    • Vancouver

      Machicao J, Corrêa Jr. EA, Miranda GHB, Amancio DR, Bruno OM. Authorship attribution based on life-like network automata [Internet]. PLOS ONE. 2018 ; 13( 3): e0193703-1-e0193703-21.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0193703
  • Source: Physical Review E. Unidades: FCF, IFSC

    Subjects: REDES COMPLEXAS, REGULAÇÃO GÊNICA

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      FERREIRA, Gustavo Rodrigues e NAKAYA, Helder Takashi Imoto e COSTA, Luciano da Fontoura. Gene regulatory and signaling networks exhibit distinct topological distributions of motifs. Physical Review E, v. 97, n. 4, p. 042417-1-042417-6, 2018Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.97.042417. Acesso em: 07 out. 2024.
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      Ferreira, G. R., Nakaya, H. T. I., & Costa, L. da F. (2018). Gene regulatory and signaling networks exhibit distinct topological distributions of motifs. Physical Review E, 97( 4), 042417-1-042417-6. doi:10.1103/PhysRevE.97.042417
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      Ferreira GR, Nakaya HTI, Costa L da F. Gene regulatory and signaling networks exhibit distinct topological distributions of motifs [Internet]. Physical Review E. 2018 ; 97( 4): 042417-1-042417-6.[citado 2024 out. 07 ] Available from: https://doi.org/10.1103/PhysRevE.97.042417
    • Vancouver

      Ferreira GR, Nakaya HTI, Costa L da F. Gene regulatory and signaling networks exhibit distinct topological distributions of motifs [Internet]. Physical Review E. 2018 ; 97( 4): 042417-1-042417-6.[citado 2024 out. 07 ] Available from: https://doi.org/10.1103/PhysRevE.97.042417
  • Source: PLOS ONE. Unidade: IFSC

    Subjects: REDES COMPLEXAS, METABOLISMO VEGETAL

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      FILHO, Humberto A. e MACHICAO, Jeaneth e BRUNO, Odemir Martinez. A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks. PLOS ONE, v. 13, n. 5, p. e0195843-1-e0195843-15, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195843. Acesso em: 07 out. 2024.
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      Filho, H. A., Machicao, J., & Bruno, O. M. (2018). A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks. PLOS ONE, 13( 5), e0195843-1-e0195843-15. doi:10.1371/journal.pone.0195843
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      Filho HA, Machicao J, Bruno OM. A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks [Internet]. PLOS ONE. 2018 ; 13( 5): e0195843-1-e0195843-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0195843
    • Vancouver

      Filho HA, Machicao J, Bruno OM. A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks [Internet]. PLOS ONE. 2018 ; 13( 5): e0195843-1-e0195843-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0195843
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidades: ICMC, IFSC

    Subjects: TOPOLOGIA, REDES COMPLEXAS, BIOINFORMÁTICA, ANÁLISE DE ERROS

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      PIMENTA, Mayra Z. et al. The impact of interconnecting topologies on SOM neural networks. 2018, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489044. Acesso em: 07 out. 2024.
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      Pimenta, M. Z., Comin, C. H., Rodrigues, F. A., & Costa, L. da F. (2018). The impact of interconnecting topologies on SOM neural networks. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IJCNN.2018.8489044
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      Pimenta MZ, Comin CH, Rodrigues FA, Costa L da F. The impact of interconnecting topologies on SOM neural networks [Internet]. Proceedings. 2018 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489044
    • Vancouver

      Pimenta MZ, Comin CH, Rodrigues FA, Costa L da F. The impact of interconnecting topologies on SOM neural networks [Internet]. Proceedings. 2018 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489044
  • Source: Chaos. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, DESCOBERTA DE CONHECIMENTO

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      LIMA, Thales S. et al. The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, v. 28, n. 8, p. 083106-1-083106-10, 2018Tradução . . Disponível em: https://doi.org/10.1063/1.5027007. Acesso em: 07 out. 2024.
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      Lima, T. S., Arruda, H. F., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. da F. (2018). The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, 28( 8), 083106-1-083106-10. doi:10.1063/1.5027007
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      Lima TS, Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. The dynamics of knowledge acquisition via self-learning in complex networks [Internet]. Chaos. 2018 ; 28( 8): 083106-1-083106-10.[citado 2024 out. 07 ] Available from: https://doi.org/10.1063/1.5027007
    • Vancouver

      Lima TS, Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. The dynamics of knowledge acquisition via self-learning in complex networks [Internet]. Chaos. 2018 ; 28( 8): 083106-1-083106-10.[citado 2024 out. 07 ] Available from: https://doi.org/10.1063/1.5027007
  • Source: Stem Cell Reports. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      GOUVEIA, Ayden et al. The aPKC-CBP pathway regulates post-stroke neurovascular remodeling and functional recovery. Stem Cell Reports, v. 9, n. 6, p. 1735-1744, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.stemcr.2017.10.021. Acesso em: 07 out. 2024.
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      Gouveia, A., Seegobin, M., Kannangara, T. S., He, L., Wondisford, F., Comin, C. H., et al. (2017). The aPKC-CBP pathway regulates post-stroke neurovascular remodeling and functional recovery. Stem Cell Reports, 9( 6), 1735-1744. doi:10.1016/j.stemcr.2017.10.021
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      Gouveia A, Seegobin M, Kannangara TS, He L, Wondisford F, Comin CH, Costa L da F, Béïque J-C, Lagace DC, Lacoste B, Wang J. The aPKC-CBP pathway regulates post-stroke neurovascular remodeling and functional recovery [Internet]. Stem Cell Reports. 2017 ; 9( 6): 1735-1744.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.stemcr.2017.10.021
    • Vancouver

      Gouveia A, Seegobin M, Kannangara TS, He L, Wondisford F, Comin CH, Costa L da F, Béïque J-C, Lagace DC, Lacoste B, Wang J. The aPKC-CBP pathway regulates post-stroke neurovascular remodeling and functional recovery [Internet]. Stem Cell Reports. 2017 ; 9( 6): 1735-1744.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.stemcr.2017.10.021
  • Source: PLOS One. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, PALAVRA, SIGNIFICADO

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      AKIMUSHKIN, Camilo e AMANCIO, Diego Raphael e OLIVEIRA JUNIOR, Osvaldo Novais de. Text authorship identified using the dynamics of word co-occurrence networks. PLOS One, v. 12, n. Ja 2017, p. e0170527-1-e0170527-15, 2017Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0170527. Acesso em: 07 out. 2024.
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      Akimushkin, C., Amancio, D. R., & Oliveira Junior, O. N. de. (2017). Text authorship identified using the dynamics of word co-occurrence networks. PLOS One, 12( Ja 2017), e0170527-1-e0170527-15. doi:10.1371/journal.pone.0170527
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      Akimushkin C, Amancio DR, Oliveira Junior ON de. Text authorship identified using the dynamics of word co-occurrence networks [Internet]. PLOS One. 2017 ; 12( Ja 2017): e0170527-1-e0170527-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0170527
    • Vancouver

      Akimushkin C, Amancio DR, Oliveira Junior ON de. Text authorship identified using the dynamics of word co-occurrence networks [Internet]. PLOS One. 2017 ; 12( Ja 2017): e0170527-1-e0170527-15.[citado 2024 out. 07 ] Available from: https://doi.org/10.1371/journal.pone.0170527
  • Source: Proceedings. Conference titles: Annual Meeting of the Association for Computational Linguistics - ACL. Unidades: IFSC, ICMC, FM

    Subjects: REDES COMPLEXAS, LINGUÍSTICA COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, COMPROMETIMENTO COGNITIVO LEVE

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    • ABNT

      SANTOS, Leandro B. dos et al. Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts. 2017, Anais.. Stroudsburg: Association for Computational Linguistics, 2017. Disponível em: https://doi.org/10.18653/v1/P17-1118. Acesso em: 07 out. 2024.
    • APA

      Santos, L. B. dos, Corrêa Jr., E. A., Oliveira Junior, O. N. de, Amancio, D. R., Mansur, L. L., & Aluísio, S. M. (2017). Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts. In Proceedings. Stroudsburg: Association for Computational Linguistics. doi:10.18653/v1/P17-1118
    • NLM

      Santos LB dos, Corrêa Jr. EA, Oliveira Junior ON de, Amancio DR, Mansur LL, Aluísio SM. Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.18653/v1/P17-1118
    • Vancouver

      Santos LB dos, Corrêa Jr. EA, Oliveira Junior ON de, Amancio DR, Mansur LL, Aluísio SM. Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.18653/v1/P17-1118
  • Source: Proceedings. Conference titles: Workshop on Graph-based Methods for Natural Language Processing - TextGraphs. Unidades: IFSC, ICMC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES COMPLEXAS

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      MARINHO, Vanessa Queiroz et al. On the "calligraphy" of books. 2017, Anais.. Stroudsburg: Association for Computational Linguistics, 2017. Disponível em: https://doi.org/10.18653/v1/w17-2401. Acesso em: 07 out. 2024.
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      Marinho, V. Q., Arruda, H. F. de, Lima, T. S., Costa, L. da F., & Amancio, D. R. (2017). On the "calligraphy" of books. In Proceedings. Stroudsburg: Association for Computational Linguistics. doi:10.18653/v1/w17-2401
    • NLM

      Marinho VQ, Arruda HF de, Lima TS, Costa L da F, Amancio DR. On the "calligraphy" of books [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.18653/v1/w17-2401
    • Vancouver

      Marinho VQ, Arruda HF de, Lima TS, Costa L da F, Amancio DR. On the "calligraphy" of books [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.18653/v1/w17-2401
  • Source: Information Sciences. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      ARRUDA, Henrique F. et al. Knowledge acquisition: a complex networks approach. Information Sciences, v. 421, p. 154-166, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.08.091. Acesso em: 07 out. 2024.
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      Arruda, H. F., Silva, F. N., Costa, L. da F., & Amancio, D. R. (2017). Knowledge acquisition: a complex networks approach. Information Sciences, 421, 154-166. doi:10.1016/j.ins.2017.08.091
    • NLM

      Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2017.08.091
    • Vancouver

      Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.ins.2017.08.091

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