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Trabalho de evento
Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 (2023)
Pimenta-Zanon, Matheus H. ; de Souza, Vinicius Augusto; Hashimoto, Ronaldo Fumio ; Lopes, Fabricio Martins
Source: Ambient intelligence in health care : proceedings. Conference titles: International Conference on Ambient Intelligence in Health Care - ICAIHC. Unidade: IME
Subjects: REDES COMPLEXAS, ENTROPIA, COVID-19, ANÁLISE SEQUENCIAL, BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES
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ABNT
PIMENTA-ZANON, Matheus H. et al. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. 2023, Anais.. Heidelberg: Springer, 2023. Disponível em: https://doi.org/10.1007/978-981-19-6068-0_44. Acesso em: 13 nov. 2024.
APA
Pimenta-Zanon, M. H., de Souza, V. A., Hashimoto, R. F., & Lopes, F. M. (2023). Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. In Ambient intelligence in health care : proceedings. Heidelberg: Springer. doi:10.1007/978-981-19-6068-0_44
NLM
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
Vancouver
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
Trabalho de evento
Spectrum-based statistical methods for directed graphs with applications in biological data (2023)
Villela, Victor Chavauty; Lira, Eduardo Silva; Fujita, André
Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS
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ABNT
VILLELA, Victor Chavauty e LIRA, Eduardo Silva e FUJITA, André. Spectrum-based statistical methods for directed graphs with applications in biological data. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_5. Acesso em: 13 nov. 2024.
APA
Villela, V. C., Lira, E. S., & Fujita, A. (2023). Spectrum-based statistical methods for directed graphs with applications in biological data. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_5
NLM
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Vancouver
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Trabalho de evento-anais periodico
A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task (2022)
Linhares, Claudio Douglas Gouveia ; Tinoco, Claudiney Ramos ; Ponciano, Jean Roberto ; Oliveira, Gina Maira Barbosa de; Travençolo, Bruno Augusto Nassif
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, VISUALIZAÇÃO, REDES COMPLEXAS
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ABNT
LINHARES, Claudio Douglas Gouveia et al. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_5. Acesso em: 13 nov. 2024. , 2022
APA
Linhares, C. D. G., Tinoco, C. R., Ponciano, J. R., Oliveira, G. M. B. de, & Travençolo, B. A. N. (2022). A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_5
NLM
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Vancouver
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Trabalho de evento-anais periodico
Extreme learning machine to graph convolutional networks (2022)
Gonçalves, Thales ; Rodrigues, Francisco Aparecido
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, ALGORITMOS
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ABNT
GONÇALVES, Thales e RODRIGUES, Francisco Aparecido. Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_42. Acesso em: 13 nov. 2024. , 2022
APA
Gonçalves, T., & Rodrigues, F. A. (2022). Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21689-3_42
NLM
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Vancouver
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Artigo de periodico
Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach (2021)
Colliri, Tiago; Minakawa, Marcia Michie; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, FSP
Subjects: REDES COMPLEXAS, COVID-19, PROGNÓSTICO, BIOMARCADORES, CONTAGEM DE CÉLULAS SANGUÍNEAS, APRENDIZADO COMPUTACIONAL
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ABNT
COLLIRI, Tiago e MINAKAWA, Marcia Michie e LIANG, Zhao. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, v. 13074, p. 42-57, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_4. Acesso em: 13 nov. 2024.
APA
Colliri, T., Minakawa, M. M., & Liang, Z. (2021). Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, 13074, 42-57. doi:10.1007/978-3-030-91699-2_4
NLM
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Vancouver
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Artigo de periodico
Coarsening algorithm via semi-synchronous label propagation for bipartite networks (2021)
Valejo, Alan Demétrius Baria; Althoff, Paulo Eduardo; Faleiros, Thiago de Paulo; Chuerubim, Maria Lígia; Yan, Jianglong; Liu, Weiguang; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, ANÁLISE MULTINÍVEL, ESTATÍSTICA
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ABNT
VALEJO, Alan Demétrius Baria et al. Coarsening algorithm via semi-synchronous label propagation for bipartite networks. Lecture Notes in Computer Science, v. 13073, p. 437-452, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91702-9_29. Acesso em: 13 nov. 2024.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Chuerubim, M. L., Yan, J., Liu, W., & Liang, Z. (2021). Coarsening algorithm via semi-synchronous label propagation for bipartite networks. Lecture Notes in Computer Science, 13073, 437-452. doi:10.1007/978-3-030-91702-9_29
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Chuerubim ML, Yan J, Liu W, Liang Z. Coarsening algorithm via semi-synchronous label propagation for bipartite networks [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 437-452.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_29
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Chuerubim ML, Yan J, Liu W, Liang Z. Coarsening algorithm via semi-synchronous label propagation for bipartite networks [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 437-452.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_29
Artigo de periodico
Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques (2021)
Nunes, Breno; Colliri, Tiago; Lauretto, Marcelo de Souza ; Liu, Weiguang; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: EACH, FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, CARTÃO MAGNÉTICO, PADRÕES DE SOFTWARE
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ABNT
NUNES, Breno et al. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, v. 13074, p. 19-32, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_2. Acesso em: 13 nov. 2024.
APA
Nunes, B., Colliri, T., Lauretto, M. de S., Liu, W., & Liang, Z. (2021). Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, 13074, 19-32. doi:10.1007/978-3-030-91699-2_2
NLM
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Vancouver
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Trabalho de evento-anais periodico
Analysis of radiographic images of patients with COVID-19 using fractal dimension and complex network-based high-level classification (2021)
Liu, Weiguang; Yan, Jianglong; Zhu, Yu-tao; Pereira, Everson José de Freitas; Li, Gen; Zheng, Qiusheng; Liang, Zhao
Source: Studies in Computational Intelligence. Conference titles: International Conference on Complex Networks and Their Applications. Unidade: FFCLRP
Subjects: COVID-19, REDES COMPLEXAS, RADIOGRAFIA, DIMENSÃO, RAIOS X, IMAGEM DIGITAL
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ABNT
LIU, Weiguang et al. Analysis of radiographic images of patients with COVID-19 using fractal dimension and complex network-based high-level classification. Studies in Computational Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-93409-5_2. Acesso em: 13 nov. 2024. , 2021
APA
Liu, W., Yan, J., Zhu, Y. -tao, Pereira, E. J. de F., Li, G., Zheng, Q., & Liang, Z. (2021). Analysis of radiographic images of patients with COVID-19 using fractal dimension and complex network-based high-level classification. Studies in Computational Intelligence. Cham: Springer. doi:10.1007/978-3-030-93409-5_2
NLM
Liu W, Yan J, Zhu Y-tao, Pereira EJ de F, Li G, Zheng Q, Liang Z. Analysis of radiographic images of patients with COVID-19 using fractal dimension and complex network-based high-level classification [Internet]. Studies in Computational Intelligence. 2021 ; 1015 16-26.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-93409-5_2
Vancouver
Liu W, Yan J, Zhu Y-tao, Pereira EJ de F, Li G, Zheng Q, Liang Z. Analysis of radiographic images of patients with COVID-19 using fractal dimension and complex network-based high-level classification [Internet]. Studies in Computational Intelligence. 2021 ; 1015 16-26.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-93409-5_2
Trabalho de evento-anais periodico
Topological characterization of cancer driver genes using reactome super pathways networks (2021)
Ramos, Rodrigo Henrique ; Cutigi, Jorge Francisco ; Ferreira, Cynthia de Oliveira Lage ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: NEOPLASIAS, BIOINFORMÁTICA, REDES COMPLEXAS, TOPOLOGIA
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ABNT
RAMOS, Rodrigo Henrique et al. Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_3. Acesso em: 13 nov. 2024. , 2021
APA
Ramos, R. H., Cutigi, J. F., Ferreira, C. de O. L., & Simão, A. da S. (2021). Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_3
NLM
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Vancouver
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Trabalho de evento-anais periodico
Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery (2020)
Cutigi, Jorge Francisco ; Evangelista, Renato Feijo ; Ramos, Rodrigo Henrique ; Ferreira, Cynthia de Oliveira Lage ; Evangelista, Adriane Feijó ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, GENÔMICA, NEOPLASIAS
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ABNT
CUTIGI, Jorge Francisco et al. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-65775-8_8. Acesso em: 13 nov. 2024. , 2020
APA
Cutigi, J. F., Evangelista, R. F., Ramos, R. H., Ferreira, C. de O. L., Evangelista, A. F., Carvalho, A. C. P. de L. F. de, & Simão, A. da S. (2020). Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-65775-8_8
NLM
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Vancouver
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Trabalho de evento
Robust ranking of brazilian Supreme Court decisions (2020)
Souza, Jackson José de ; Finger, Marcelo
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: REDES COMPLEXAS, ALGORITMOS E ESTRUTURAS DE DADOS, TRIBUNAL SUPREMO
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ABNT
SOUZA, Jackson José de e FINGER, Marcelo. Robust ranking of brazilian Supreme Court decisions. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_40. Acesso em: 13 nov. 2024.
APA
Souza, J. J. de, & Finger, M. (2020). Robust ranking of brazilian Supreme Court decisions. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-61377-8_40
NLM
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Vancouver
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Trabalho de evento-anais periodico
Particle competition for unbalanced community detection in complex networks (2020)
Martins, Luan Vinicius Carvalho; Liang, Zhao
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Assunto: REDES COMPLEXAS
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ABNT
MARTINS, Luan Vinicius Carvalho e LIANG, Zhao. Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_22. Acesso em: 13 nov. 2024. , 2020
APA
Martins, L. V. C., & Liang, Z. (2020). Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_22
NLM
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
Vancouver
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
Trabalho de evento-anais periodico
Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network (2020)
Colliri, Tiago Santos ; Delbem, Alexandre Cláudio Botazzo ; Liang, Zhao
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, FFCLRP
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
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ABNT
COLLIRI, Tiago Santos e DELBEM, Alexandre Cláudio Botazzo e LIANG, Zhao. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_27. Acesso em: 13 nov. 2024. , 2020
APA
Colliri, T. S., Delbem, A. C. B., & Liang, Z. (2020). Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_27
NLM
Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27
Vancouver
Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27
Parte de monografia/livro
Network centrality: an introduction (2019)
Rodrigues, Francisco Aparecido
Source: A mathematical modeling approach from nonlinear dynamics to complex systems. Unidade: ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS, CENTRALIDADE
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ABNT
RODRIGUES, Francisco Aparecido. Network centrality: an introduction. A mathematical modeling approach from nonlinear dynamics to complex systems. Tradução . Cham: Springer, 2019. . Disponível em: https://doi.org/10.1007/978-3-319-78512-7_10. Acesso em: 13 nov. 2024.
APA
Rodrigues, F. A. (2019). Network centrality: an introduction. In A mathematical modeling approach from nonlinear dynamics to complex systems. Cham: Springer. doi:10.1007/978-3-319-78512-7_10
NLM
Rodrigues FA. Network centrality: an introduction [Internet]. In: A mathematical modeling approach from nonlinear dynamics to complex systems. Cham: Springer; 2019. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-78512-7_10
Vancouver
Rodrigues FA. Network centrality: an introduction [Internet]. In: A mathematical modeling approach from nonlinear dynamics to complex systems. Cham: Springer; 2019. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-78512-7_10
Monografia/livro
Multiplex networks: basic formalism and structural properties (2018)
Cozzo, Emanuele; Arruda, Guilherme Ferraz de; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Unidade: ICMC
Subjects: REDES COMPLEXAS, ESPECTROSCOPIA
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ABNT
COZZO, Emanuele et al. Multiplex networks: basic formalism and structural properties. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-92255-3. Acesso em: 13 nov. 2024. , 2018
APA
Cozzo, E., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2018). Multiplex networks: basic formalism and structural properties. Cham: Springer. doi:10.1007/978-3-319-92255-3
NLM
Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multiplex networks: basic formalism and structural properties [Internet]. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-92255-3
Vancouver
Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multiplex networks: basic formalism and structural properties [Internet]. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-92255-3
Trabalho de evento-anais periodico
Topological street-network characterization through feature-vector and cluster analysis (2018)
Spadon, Gabriel; Gimenes, Gabriel; Rodrigues Junior, José Fernando
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, RUAS E AVENIDAS
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ABNT
SPADON, Gabriel e GIMENES, Gabriel e RODRIGUES JUNIOR, José Fernando. Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_21. Acesso em: 13 nov. 2024. , 2018
APA
Spadon, G., Gimenes, G., & Rodrigues Junior, J. F. (2018). Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_21
NLM
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Vancouver
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Trabalho de evento-anais periodico
Community detection in bipartite network: a modified coarsening approach (2018)
Valejo, Alan; Ferreira, Vinicius; Oliveira, Maria Cristina Ferreira de ; Lopes, Alneu de Andrade
Source: Communications in Computer and Information Science. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: REDES COMPLEXAS, ALGORITMOS ÚTEIS E ESPECÍFICOS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALEJO, Alan et al. Community detection in bipartite network: a modified coarsening approach. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-90596-9_9. Acesso em: 13 nov. 2024. , 2018
APA
Valejo, A., Ferreira, V., Oliveira, M. C. F. de, & Lopes, A. de A. (2018). Community detection in bipartite network: a modified coarsening approach. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-90596-9_9
NLM
Valejo A, Ferreira V, Oliveira MCF de, Lopes A de A. Community detection in bipartite network: a modified coarsening approach [Internet]. Communications in Computer and Information Science. 2018 ; 795 123-136.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-90596-9_9
Vancouver
Valejo A, Ferreira V, Oliveira MCF de, Lopes A de A. Community detection in bipartite network: a modified coarsening approach [Internet]. Communications in Computer and Information Science. 2018 ; 795 123-136.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-90596-9_9
Trabalho de evento-anais periodico
A distance-based tool-set to track inconsistent urban structures through complex-networks (2018)
Spadon, Gabriel; Machado, Bruno Brandoli; Eler, Danilo Medeiros; Rodrigues Junior, José Fernando
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, PLANEJAMENTO TERRITORIAL URBANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_22. Acesso em: 13 nov. 2024. , 2018
APA
Spadon, G., Machado, B. B., Eler, D. M., & Rodrigues Junior, J. F. (2018). A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_22
NLM
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Vancouver
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Trabalho de evento-anais periodico
Network sampling based on centrality measures for relational classification (2017)
Berton, Lilian; Vega-Oliveros, Didier A; Valverde-Rebaza, Jorge; Silva, André Tavares da; Lopes, Alneu de Andrade
Source: Communications in Computer and Information Science. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian et al. Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-55209-5_4. Acesso em: 13 nov. 2024. , 2017
APA
Berton, L., Vega-Oliveros, D. A., Valverde-Rebaza, J., Silva, A. T. da, & Lopes, A. de A. (2017). Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-55209-5_4
NLM
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4
Vancouver
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4
Trabalho de evento-anais periodico
Complex-network tools to understand the behavior of criminality in urban areas (2017)
Spadon, Gabriel; Scabora, Lucas C; Araújo, Marcus V. S; Oliveir, Paulo H; Machado, Bruno B; Sousa, Elaine Parros Machado de ; Traina Junior, Caetano ; Rodrigues Junior, José Fernando
Source: Advances in Intelligent Systems and Computing. Conference titles: International Conference on Information Technology : New Generations - ITNG. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, BANCO DE DADOS, REDES COMPLEXAS, SEGURANÇA PÚBLICA, COMPORTAMENTO CRIMINAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. Complex-network tools to understand the behavior of criminality in urban areas. Advances in Intelligent Systems and Computing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-54978-1_63. Acesso em: 13 nov. 2024. , 2017
APA
Spadon, G., Scabora, L. C., Araújo, M. V. S., Oliveir, P. H., Machado, B. B., Sousa, E. P. M. de, et al. (2017). Complex-network tools to understand the behavior of criminality in urban areas. Advances in Intelligent Systems and Computing. Cham: Springer. doi:10.1007/978-3-319-54978-1_63
NLM
Spadon G, Scabora LC, Araújo MVS, Oliveir PH, Machado BB, Sousa EPM de, Traina Junior C, Rodrigues Junior JF. Complex-network tools to understand the behavior of criminality in urban areas [Internet]. Advances in Intelligent Systems and Computing. 2017 ; 558 493-500.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-54978-1_63
Vancouver
Spadon G, Scabora LC, Araújo MVS, Oliveir PH, Machado BB, Sousa EPM de, Traina Junior C, Rodrigues Junior JF. Complex-network tools to understand the behavior of criminality in urban areas [Internet]. Advances in Intelligent Systems and Computing. 2017 ; 558 493-500.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-319-54978-1_63

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