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Artigo de periodico
A machine learning approach to predicting dynamical observables from network structure (2024)
Rodrigues, Francisco Aparecido ; Peron, Thomas ; Connaughton, Colm ; Kurths, Jürgen ; Moreno, Yamir
Fonte: Proceedings of the Royal Society A. Unidade: ICMC
Assuntos: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 27 nov. 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 nov. 27 ] 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 nov. 27 ] Available from: https://doi.org/10.1098/rspa.2024.0435
Artigo de periodico
Machine learning-based prediction of Q-voter model in complex networks (2023)
Pineda, Aruane Mello ; Kent, Paul; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Fonte: Journal of Statistical Mechanics. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMUNICAÇÃO, REDES DE INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINEDA, Aruane Mello et al. Machine learning-based prediction of Q-voter model in complex networks. Journal of Statistical Mechanics, v. 2023, p. 1-33, 2023Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ad06a6. Acesso em: 27 nov. 2025.
APA
Pineda, A. M., Kent, P., Connaughton, C., & Rodrigues, F. A. (2023). Machine learning-based prediction of Q-voter model in complex networks. Journal of Statistical Mechanics, 2023, 1-33. doi:10.1088/1742-5468/ad06a6
NLM
Pineda AM, Kent P, Connaughton C, Rodrigues FA. Machine learning-based prediction of Q-voter model in complex networks [Internet]. Journal of Statistical Mechanics. 2023 ; 2023 1-33.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1088/1742-5468/ad06a6
Vancouver
Pineda AM, Kent P, Connaughton C, Rodrigues FA. Machine learning-based prediction of Q-voter model in complex networks [Internet]. Journal of Statistical Mechanics. 2023 ; 2023 1-33.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1088/1742-5468/ad06a6

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