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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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 set. 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 set. 26 ] 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 set. 26 ] Available from: https://doi.org/10.1371/journal.pone.0296088
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 set. 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 set. 26 ] 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 set. 26 ] Available from: https://doi.org/10.1016/j.physa.2024.129618
Artigo de periodico
A comparative analysis of knowledge acquisition performance in complex networks (2021)
Guerreiro, Lucas; Silva, Filipi Nascimento ; Amancio, Diego Raphael
Source: Information Sciences. Unidade: ICMC
Subjects: REDES COMPLEXAS, DESCOBERTA DE CONHECIMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. A comparative analysis of knowledge acquisition performance in complex networks. Information Sciences, v. 555, p. 46-57, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.12.060. Acesso em: 26 set. 2024.
APA
Guerreiro, L., Silva, F. N., & Amancio, D. R. (2021). A comparative analysis of knowledge acquisition performance in complex networks. Information Sciences, 555, 46-57. doi:10.1016/j.ins.2020.12.060
NLM
Guerreiro L, Silva FN, Amancio DR. A comparative analysis of knowledge acquisition performance in complex networks [Internet]. Information Sciences. 2021 ; 555 46-57.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2020.12.060
Vancouver
Guerreiro L, Silva FN, Amancio DR. A comparative analysis of knowledge acquisition performance in complex networks [Internet]. Information Sciences. 2021 ; 555 46-57.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2020.12.060
Artigo de periodico
Complex systems: features, similarity and connectivity (2020)
Comin, Cesar Henrique ; Peron, Thomas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael ; Rodrigues, Francisco Aparecido ; Costa, Luciano da Fontoura
Source: Physics Reports. Unidades: ICMC, IFSC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COMIN, Cesar Henrique et al. Complex systems: features, similarity and connectivity. Physics Reports, v. 861, p. 1-41, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2020.03.002. Acesso em: 26 set. 2024.
APA
Comin, C. H., Peron, T., Silva, F. N., Amancio, D. R., Rodrigues, F. A., & Costa, L. da F. (2020). Complex systems: features, similarity and connectivity. Physics Reports, 861, 1-41. doi:10.1016/j.physrep.2020.03.002
NLM
Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002
Vancouver
Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002

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