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ALEXANDRE, Michel e RODRIGUES, Francisco Aparecido. Complex financial networks. Brazilian Journal of Physics, v. 55, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1007/s13538-024-01682-w. Acesso em: 08 out. 2025.
APA
Alexandre, M., & Rodrigues, F. A. (2025). Complex financial networks. Brazilian Journal of Physics, 55, 1-8. doi:10.1007/s13538-024-01682-w
NLM
Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
Vancouver
Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
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LOBER, Luiza e PALMERO, Matheus e RODRIGUES, Francisco Aparecido. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, v. 112, p. 014210-1-014210-13, 2025Tradução . . Disponível em: https://doi.org/10.1103/wz7j-lzvs. Acesso em: 08 out. 2025.
APA
Lober, L., Palmero, M., & Rodrigues, F. A. (2025). Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, 112, 014210-1-014210-13. doi:10.1103/wz7j-lzvs
NLM
Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
Vancouver
Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
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SALLUM, Loriz Francisco et al. Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, v. 194, p. 116163-1-116163-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116163. Acesso em: 08 out. 2025.
APA
Sallum, L. F., Alves, C. L., Toutain, T. G. L. de, Porto, J. A. M., Thielemann, C., & Rodrigues, F. A. (2025). Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, 194, 116163-1-116163-16. doi:10.1016/j.chaos.2025.116163
NLM
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
Vancouver
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
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SILVA, José Carlos de Moraes et al. Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks. New Journal of Physics, v. 27, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1088/1367-2630/ada795. Acesso em: 08 out. 2025.
APA
Silva, J. C. de M., Silva, D. H., Rodrigues, F. A., & Ferreira, S. C. (2025). Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks. New Journal of Physics, 27, 1-16. doi:10.1088/1367-2630/ada795
NLM
Silva JC de M, Silva DH, Rodrigues FA, Ferreira SC. Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks [Internet]. New Journal of Physics. 2025 ; 27 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/1367-2630/ada795
Vancouver
Silva JC de M, Silva DH, Rodrigues FA, Ferreira SC. Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks [Internet]. New Journal of Physics. 2025 ; 27 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/1367-2630/ada795
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ALEXANDRE, Michel et al. Nestedness and systemic risk in financial networks. v. 6, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.latcb.2024.100136. Acesso em: 08 out. 2025.
APA
Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2025). Nestedness and systemic risk in financial networks, 6, 1-8. doi:10.1016/j.latcb.2024.100136
NLM
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
Vancouver
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
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RAMOS, Pedro Luiz et al. Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation, v. 94, n. 18, p. 4072-4106, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2409379. Acesso em: 08 out. 2025.
APA
Ramos, P. L., Guzman, D. C. F., Mota, A. L., Saavedra, D., Rodrigues, F. A., & Louzada, F. (2024). Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation, 94( 18), 4072-4106. doi:10.1080/00949655.2024.2409379
NLM
Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 18): 4072-4106.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
Vancouver
Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 18): 4072-4106.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
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SILVA, Diogo Henrique da e RODRIGUES, Francisco Aparecido e FERREIRA, Silvio C. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, v. 110, n. 1, p. 014302-1-014302-9, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.110.014302. Acesso em: 08 out. 2025.
APA
Silva, D. H. da, Rodrigues, F. A., & Ferreira, S. C. (2024). Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, 110( 1), 014302-1-014302-9. doi:10.1103/PhysRevE.110.014302
NLM
Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
Vancouver
Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
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RODRIGUES, Francisco Aparecido et al. A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, v. 481, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1098/rspa.2024.0435. Acesso em: 08 out. 2025.
APA
Rodrigues, F. A., Peron, T., Connaughton, C., Kurths, J., & Moreno, Y. (2024). A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, 481, 1-12. doi:10.1098/rspa.2024.0435
NLM
Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1098/rspa.2024.0435
Vancouver
Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1098/rspa.2024.0435
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RAMOS, Eduardo et al. Objective bayesian analysis for the differential entropy of the gamma distribution. Brazilian Journal of Probability and Statistics, v. 38, n. 1, p. 53-73, 2024Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS591. Acesso em: 08 out. 2025.
APA
Ramos, E., Egbon, O. A., Ramos, P. L., Rodrigues, F. A., & Louzada, F. (2024). Objective bayesian analysis for the differential entropy of the gamma distribution. Brazilian Journal of Probability and Statistics, 38( 1), 53-73. doi:10.1214/23-BJPS591
NLM
Ramos E, Egbon OA, Ramos PL, Rodrigues FA, Louzada F. Objective bayesian analysis for the differential entropy of the gamma distribution [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 1): 53-73.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/23-BJPS591
Vancouver
Ramos E, Egbon OA, Ramos PL, Rodrigues FA, Louzada F. Objective bayesian analysis for the differential entropy of the gamma distribution [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 1): 53-73.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/23-BJPS591
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BARATELA, Eduardo Alves et al. Predicting soccer matches with complex networks and machine learning. Journal of Complex Networks, v. 12, n. 6, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnae043. Acesso em: 08 out. 2025.
APA
Baratela, E. A., Xavier, F. J., Peron, T., Villas Boas, P. R., & Rodrigues, F. A. (2024). Predicting soccer matches with complex networks and machine learning. Journal of Complex Networks, 12( 6), 1-16. doi:10.1093/comnet/cnae043
NLM
Baratela EA, Xavier FJ, Peron T, Villas Boas PR, Rodrigues FA. Predicting soccer matches with complex networks and machine learning [Internet]. Journal of Complex Networks. 2024 ; 12( 6): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnae043
Vancouver
Baratela EA, Xavier FJ, Peron T, Villas Boas PR, Rodrigues FA. Predicting soccer matches with complex networks and machine learning [Internet]. Journal of Complex Networks. 2024 ; 12( 6): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnae043
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1111/2041-210X.14257
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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 out. 2025.
APA
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
NLM
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
Vancouver
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1209/0295-5075/acba42
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1038/s41598-023-34650-6
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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 out. 2025.
APA
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
NLM
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
Vancouver
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/acf6a4
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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 out. 2025.
APA
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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RODRIGUES, Francisco Aparecido. The structure of biological complexity [Carta]: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.plrev.2022.12.005. Acesso em: 08 out. 2025. , 2023
APA
Rodrigues, F. A. (2023). The structure of biological complexity [Carta]: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.plrev.2022.12.005
NLM
Rodrigues FA. The structure of biological complexity [Carta]: 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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005
Vancouver
Rodrigues FA. The structure of biological complexity [Carta]: 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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1088/1741-2552/acf734
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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 out. 2025.
APA
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
NLM
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 2025 out. 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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.epidem.2022.100544
; Rodrigues, Francisco Aparecido 
