Filtros : "ICMC" "Rodrigues, Francisco Aparecido" "Financiamento CNPq" Limpar

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  • Source: Methods in Ecology and Evolution. Unidades: ICMC, IB

    Subjects: CENTRALIDADE, ECOLOGIA, ANÁLISE DE DESEMPENHO, ALGORITMOS

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      LOTFI, Nastaran et al. A new centrality index designed for multilayer networks. Methods in Ecology and Evolution, v. 15, n. 1, p. 204-213, 2024Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.14257. Acesso em: 08 ago. 2024.
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      Lotfi, N., Requejo, H. S., Rodrigues, F. A., & Mello, M. A. R. (2024). A new centrality index designed for multilayer networks. Methods in Ecology and Evolution, 15( 1), 204-213. doi:10.1111/2041-210X.14257
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      Lotfi N, Requejo HS, Rodrigues FA, Mello MAR. A new centrality index designed for multilayer networks [Internet]. Methods in Ecology and Evolution. 2024 ; 15( 1): 204-213.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1111/2041-210X.14257
    • Vancouver

      Lotfi N, Requejo HS, Rodrigues FA, Mello MAR. A new centrality index designed for multilayer networks [Internet]. Methods in Ecology and Evolution. 2024 ; 15( 1): 204-213.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1111/2041-210X.14257
  • Source: Scientific Reports. Unidades: ICMC, IFSC

    Subjects: TECNOLOGIAS DA SAÚDE, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR

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      ALVES, Caroline Lourenço et al. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning. Scientific Reports, v. 13, p. 8072-1-8072-20, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-34650-6. Acesso em: 08 ago. 2024.
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      Alves, C. L., Oliveira, T. G. L. de, Aguiar, P. M. de C., Pineda, A. M., Roster, K., Thielemann, C., et al. (2023). Diagnosis of autism spectrum disorder based on functional brain networks and machine learning. Scientific Reports, 13, 8072-1-8072-20. doi:10.1038/s41598-023-34650-6
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      Alves CL, Oliveira TGL de, Aguiar PM de C, Pineda AM, Roster K, Thielemann C, Porto JAM, Rodrigues FA. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning [Internet]. Scientific Reports. 2023 ; 13 8072-1-8072-20.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1038/s41598-023-34650-6
    • Vancouver

      Alves CL, Oliveira TGL de, Aguiar PM de C, Pineda AM, Roster K, Thielemann C, Porto JAM, Rodrigues FA. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning [Internet]. Scientific Reports. 2023 ; 13 8072-1-8072-20.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1038/s41598-023-34650-6
  • Source: Physica A. Unidades: ICMC, FEA

    Subjects: REDES COMPLEXAS, FINANÇAS, ALGORITMOS GENÉTICOS

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      ALEXANDRE, Michel et al. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, v. 629, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2023.129213. Acesso em: 08 ago. 2024.
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      Alexandre, M., Michalak, K., Silva, T. C., & Rodrigues, F. A. (2023). Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, 629, 1-9. doi:10.1016/j.physa.2023.129213
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      Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
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      Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
  • Source: Chaos, Solitons and Fractals. Unidades: IFSC, ICMC

    Subjects: COMPLEXIDADE, CIÊNCIAS SOCIAIS, MÉTODOS MCMC, CADEIAS DE MARKOV

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      SILVA, Paulo Cesar Ventura da et al. A Markov chain for metapopulations of small sizes with attraction landscape. Chaos, Solitons and Fractals, v. 167, p. 113003-1-113003-8, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.113003. Acesso em: 08 ago. 2024.
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      Silva, P. C. V. da, Tokuda, E. K., Costa, L. da F., & Rodrigues, F. A. (2023). A Markov chain for metapopulations of small sizes with attraction landscape. Chaos, Solitons and Fractals, 167, 113003-1-113003-8. doi:10.1016/j.chaos.2022.113003
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      Silva PCV da, Tokuda EK, Costa L da F, Rodrigues FA. A Markov chain for metapopulations of small sizes with attraction landscape [Internet]. Chaos, Solitons and Fractals. 2023 ; 167 113003-1-113003-8.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
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      Silva PCV da, Tokuda EK, Costa L da F, Rodrigues FA. A Markov chain for metapopulations of small sizes with attraction landscape [Internet]. Chaos, Solitons and Fractals. 2023 ; 167 113003-1-113003-8.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
  • Source: Europhysics Letters. Unidades: ICMC, FEA

    Subjects: REDES COMPLEXAS, SISTEMA FINANCEIRO, DETERMINANTES

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      ALEXANDRE, Michel et al. The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, v. 141, n. 4, p. 42001-p1-42001-p7, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/acba42. Acesso em: 08 ago. 2024.
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      Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2023). The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, 141( 4), 42001-p1-42001-p7. doi:10.1209/0295-5075/acba42
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      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/acba42
    • Vancouver

      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/acba42
  • Source: European Journal of Operational Research. Unidade: ICMC

    Subjects: REDES COMPLEXAS, RISCO, FRAMEWORKS, FINANÇAS

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      ALEXANDRE, Michel et al. Does the default pecking order impact systemic risk?: evidence from Brazilian data. European Journal of Operational Research, v. 309, p. 1379-1391, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2023.01.043. Acesso em: 08 ago. 2024.
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      Alexandre, M., Silva, T. C., Michalak, K., & Rodrigues, F. A. (2023). Does the default pecking order impact systemic risk?: evidence from Brazilian data. European Journal of Operational Research, 309, 1379-1391. doi:10.1016/j.ejor.2023.01.043
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      Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043
    • Vancouver

      Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ELEIÇÕES (PROCESSO POLÍTICO), POLARIZAÇÃO

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      INTERIAN, Ruben e RODRIGUES, Francisco Aparecido. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections. Journal of Physics : Complexity, v. 4, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/acf6a4. Acesso em: 08 ago. 2024.
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      Interian, R., & Rodrigues, F. A. (2023). Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections. Journal of Physics : Complexity, 4, 1-13. doi:10.1088/2632-072X/acf6a4
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      Interian R, Rodrigues FA. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/2632-072X/acf6a4
    • Vancouver

      Interian R, Rodrigues FA. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/2632-072X/acf6a4
  • Source: EPL - Europhysics Letters. Unidades: IFSC, ICMC

    Subjects: MODELOS, COMPORTAMENTO SOCIAL (ESTUDO), CONSCIÊNCIA (PERCEPÇÃO), INTELIGÊNCIA COLETIVA, APRENDIZAGEM SOCIAL, FÍSICA TEÓRICA

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      PINEDA, Aruane Mello et al. Cultural heterogeneity constrains diffusion of innovations. EPL - Europhysics Letters, v. 143, n. 4, p. 42003-p1-42003-p6, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/aceeab. Acesso em: 08 ago. 2024.
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      Pineda, A. M., Reia, S. M., Connaughton, C., Fontanari, J. F., & Rodrigues, F. A. (2023). Cultural heterogeneity constrains diffusion of innovations. EPL - Europhysics Letters, 143( 4), 42003-p1-42003-p6. doi:10.1209/0295-5075/aceeab
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      Pineda AM, Reia SM, Connaughton C, Fontanari JF, Rodrigues FA. Cultural heterogeneity constrains diffusion of innovations [Internet]. EPL - Europhysics Letters. 2023 ; 143( 4): 42003-p1-42003-p6.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/aceeab
    • Vancouver

      Pineda AM, Reia SM, Connaughton C, Fontanari JF, Rodrigues FA. Cultural heterogeneity constrains diffusion of innovations [Internet]. EPL - Europhysics Letters. 2023 ; 143( 4): 42003-p1-42003-p6.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/aceeab
  • Source: Physics of Life Reviews. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      RODRIGUES, Francisco Aparecido. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews, v. 44, p. 73-76, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2022.12.005. Acesso em: 08 ago. 2024.
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      Rodrigues, F. A. (2023). The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews, 44, 73-76. doi:10.1016/j.plrev.2022.12.005
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      Rodrigues FA. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al [Internet]. Physics of Life Reviews. 2023 ; 44 73-76.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005
    • Vancouver

      Rodrigues FA. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al [Internet]. Physics of Life Reviews. 2023 ; 44 73-76.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005
  • Source: Journal of Neural Engineering. Unidades: ICMC, IFSC

    Subjects: TECNOLOGIAS DA SAÚDE, APRENDIZADO COMPUTACIONAL, ESQUIZOFRENIA, REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, CÉREBRO

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      ALVES, Caroline Lourenço et al. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, v. 20, n. 5, p. 056025-1-056025-28, 2023Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/acf734. Acesso em: 08 ago. 2024.
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      Alves, C. L., Oliveira, T. G. L. de, Porto, J. A. M., Aguiar, P. M. de C., Sena, E. P. de, Rodrigues, F. A., et al. (2023). Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, 20( 5), 056025-1-056025-28. doi:10.1088/1741-2552/acf734
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      Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/1741-2552/acf734
    • Vancouver

      Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/1741-2552/acf734
  • Source: Europhysics Letters. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, FÍSICA

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      RODRIGUES, Francisco Aparecido. Machine learning in physics: a short guide. Europhysics Letters, v. 144, n. 2, p. 22001-p1-22001-p7, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/ad0575. Acesso em: 08 ago. 2024.
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      Rodrigues, F. A. (2023). Machine learning in physics: a short guide. Europhysics Letters, 144( 2), 22001-p1-22001-p7. doi:10.1209/0295-5075/ad0575
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      Rodrigues FA. Machine learning in physics: a short guide [Internet]. Europhysics Letters. 2023 ; 144( 2): 22001-p1-22001-p7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/ad0575
    • Vancouver

      Rodrigues FA. Machine learning in physics: a short guide [Internet]. Europhysics Letters. 2023 ; 144( 2): 22001-p1-22001-p7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1209/0295-5075/ad0575
  • Source: Epidemics. Unidades: ICMC, IFSC

    Subjects: MOBILIDADE URBANA, MODELAGEM DE EPIDEMIA, COMPORTAMENTO, REDES COMPLEXAS, SURTOS DE DOENÇAS, SAÚDE PÚBLICA

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      SILVA, Paulo Cesar Ventura da et al. Modeling the effects of social distancing on the large-scale spreading of diseases. Epidemics, v. 38, p. 100544-1-100544-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.epidem.2022.100544. Acesso em: 08 ago. 2024.
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      Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Modeling the effects of social distancing on the large-scale spreading of diseases. Epidemics, 38, 100544-1-100544-13. doi:10.1016/j.epidem.2022.100544
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      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Modeling the effects of social distancing on the large-scale spreading of diseases [Internet]. Epidemics. 2022 ; 38 100544-1-100544-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.epidem.2022.100544
    • Vancouver

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Modeling the effects of social distancing on the large-scale spreading of diseases [Internet]. Epidemics. 2022 ; 38 100544-1-100544-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.epidem.2022.100544
  • Source: Chaos, Solitons and Fractals. Unidades: ICMC, IFSC

    Subjects: SURTOS DE DOENÇAS, MOBILIDADE URBANA, COMPORTAMENTO

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      SILVA, Paulo Cesar Ventura da et al. Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, v. 156, p. 111849-1-111849-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.111849. Acesso em: 08 ago. 2024.
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      Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, 156, 111849-1-111849-10. doi:10.1016/j.chaos.2022.111849
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      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
    • Vancouver

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
  • Source: Journal of Physics: Complexity. Unidade: ICMC

    Subjects: TRANSTORNOS MENTAIS, ALGORITMOS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS

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      ALVES, Caroline Lourenço et al. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, v. 3, n. 2, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac5f8d. Acesso em: 08 ago. 2024.
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      Alves, C. L., Pineda, A. M., Roster, K., Thielemann, C., & Rodrigues, F. A. (2022). EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, 3( 2), 1-13. doi:10.1088/2632-072X/ac5f8d
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      Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8d
    • Vancouver

      Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8d
  • Source: PLOS ONE. Unidades: ICMC, FM

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, ELETROENCEFALOGRAFIA

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      ALVES, Caroline Lourenço et al. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLOS ONE, v. 17, n. 12, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0277257. Acesso em: 08 ago. 2024.
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      Alves, C. L., Cury, R. G., Roster, K., Pineda, A. M., Rodrigues, F. A., Thielemann, C., & Ciba, M. (2022). Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLOS ONE, 17( 12), 1-26. doi:10.1371/journal.pone.0277257
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      Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLOS ONE. 2022 ; 17( 12): 1-26.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1371/journal.pone.0277257
    • Vancouver

      Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLOS ONE. 2022 ; 17( 12): 1-26.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1371/journal.pone.0277257
  • Source: Physica A. Unidade: ICMC

    Subjects: REDES COMPLEXAS, JOGOS DE COMPUTADOR, MEMÓRIA

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      LOTFI, Nastaran e RODRIGUES, Francisco Aparecido. On the effect of memory on the Prisoner's Dilemma game in correlated networks. Physica A, v. 607, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2022.128162. Acesso em: 08 ago. 2024.
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      Lotfi, N., & Rodrigues, F. A. (2022). On the effect of memory on the Prisoner's Dilemma game in correlated networks. Physica A, 607, 1-7. doi:10.1016/j.physa.2022.128162
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      Lotfi N, Rodrigues FA. On the effect of memory on the Prisoner's Dilemma game in correlated networks [Internet]. Physica A. 2022 ; 607 1-7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.physa.2022.128162
    • Vancouver

      Lotfi N, Rodrigues FA. On the effect of memory on the Prisoner's Dilemma game in correlated networks [Internet]. Physica A. 2022 ; 607 1-7.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1016/j.physa.2022.128162
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: ECONOMIA INTERNACIONAL, COMÉRCIO, REDES COMPLEXAS

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      ALVES, Luiz Gustavo de Andrade et al. The rise and fall of countries in the global value chains. Scientific Reports, v. 12, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-12067-x. Acesso em: 08 ago. 2024.
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      Alves, L. G. de A., Mangioni, G., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2022). The rise and fall of countries in the global value chains. Scientific Reports, 12, 1-14. doi:10.1038/s41598-022-12067-x
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      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
    • Vancouver

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
  • Source: Physical Review E. Unidade: ICMC

    Subjects: GRAFOS ALEATÓRIOS, HEURÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE)

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      MARTÍNEZ-MARTÍNEZ, Claudia Teresa et al. Nonuniform random graphs on the plane: a scaling study. Physical Review E, v. 105, n. 3, p. 034304-1, 2022Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.105.034304. Acesso em: 08 ago. 2024.
    • APA

      Martínez-Martínez, C. T., Méndez-Bermúdez, J. A., Rodrigues, F. A., & Estrada, E. (2022). Nonuniform random graphs on the plane: a scaling study. Physical Review E, 105( 3), 034304-1. doi:10.1103/PhysRevE.105.034304
    • NLM

      Martínez-Martínez CT, Méndez-Bermúdez JA, Rodrigues FA, Estrada E. Nonuniform random graphs on the plane: a scaling study [Internet]. Physical Review E. 2022 ; 105( 3): 034304-1.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1103/PhysRevE.105.034304
    • Vancouver

      Martínez-Martínez CT, Méndez-Bermúdez JA, Rodrigues FA, Estrada E. Nonuniform random graphs on the plane: a scaling study [Internet]. Physical Review E. 2022 ; 105( 3): 034304-1.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1103/PhysRevE.105.034304
  • Source: Journal of Complex Networks. Unidades: ICMC, FEA

    Subjects: AÇÕES, MERCADO FINANCEIRO, RISCO

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      ALEXANDRE, Michel e MORAES, Kauê Lopes de e RODRIGUES, Francisco Aparecido. Risk-dependent centrality in the Brazilian stock market. Journal of Complex Networks, v. 10, n. 1, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnab054. Acesso em: 08 ago. 2024.
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      Alexandre, M., Moraes, K. L. de, & Rodrigues, F. A. (2022). Risk-dependent centrality in the Brazilian stock market. Journal of Complex Networks, 10( 1), 1-16. doi:10.1093/comnet/cnab054
    • NLM

      Alexandre M, Moraes KL de, Rodrigues FA. Risk-dependent centrality in the Brazilian stock market [Internet]. Journal of Complex Networks. 2022 ; 10( 1): 1-16.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1093/comnet/cnab054
    • Vancouver

      Alexandre M, Moraes KL de, Rodrigues FA. Risk-dependent centrality in the Brazilian stock market [Internet]. Journal of Complex Networks. 2022 ; 10( 1): 1-16.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1093/comnet/cnab054
  • Source: Physical Review E. Unidade: ICMC

    Subjects: SURTOS DE DOENÇAS, SIMULAÇÃO (ESTATÍSTICA), HETEROGENEIDADE

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      SILVA, José Carlos de Moraes et al. Comparison of theoretical approaches for epidemic processes with waning immunity in complex networks. Physical Review E, v. 106, n. 3, p. 034317-1-034317-9, 2022Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.106.034317. Acesso em: 08 ago. 2024.
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      Silva, J. C. de M., Silva, D. H. da, Rodrigues, F. A., & Ferreira, S. C. (2022). Comparison of theoretical approaches for epidemic processes with waning immunity in complex networks. Physical Review E, 106( 3), 034317-1-034317-9. doi:10.1103/PhysRevE.106.034317
    • NLM

      Silva JC de M, Silva DH da, Rodrigues FA, Ferreira SC. Comparison of theoretical approaches for epidemic processes with waning immunity in complex networks [Internet]. Physical Review E. 2022 ; 106( 3): 034317-1-034317-9.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1103/PhysRevE.106.034317
    • Vancouver

      Silva JC de M, Silva DH da, Rodrigues FA, Ferreira SC. Comparison of theoretical approaches for epidemic processes with waning immunity in complex networks [Internet]. Physical Review E. 2022 ; 106( 3): 034317-1-034317-9.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1103/PhysRevE.106.034317

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