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Artigo de periodico
Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks (2024)
Valejo, Alan Demetrius Baria ; Althoff, Paulo Eduardo ; Faleiros, Thiago de Paulo ; Rocha Filho, Geraldo Pereira ; Yu-Tao, Zhu ; Jianglong, Yan; Weiguang, Liu; Liang, Zhao
Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS
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VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 07 ago. 2024.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Trabalho de evento
High-level classification for EEG analysis (2023)
Carneiro, Murillo Guimarães; Ramos, Camila D.; Destro Filho, João Batista; Zhu, Yu-tao; Ji, Donghong; Liang, Zhao
Conference titles: International Joint Conference on Neural Networks. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, SISTEMA BINÁRIO, ELETROENCEFALOGRAFIA, PROGNÓSTICO, COMA
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CARNEIRO, Murillo Guimarães et al. High-level classification for EEG analysis. 2023, Anais.. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. p. 1-8. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191823. Acesso em: 07 ago. 2024.
APA
Carneiro, M. G., Ramos, C. D., Destro Filho, J. B., Zhu, Y. -tao, Ji, D., & Liang, Z. (2023). High-level classification for EEG analysis. In (p. 1-8). Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/IJCNN54540.2023.10191823
NLM
Carneiro MG, Ramos CD, Destro Filho JB, Zhu Y-tao, Ji D, Liang Z. High-level classification for EEG analysis [Internet]. 2023 ; 1-8.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191823
Vancouver
Carneiro MG, Ramos CD, Destro Filho JB, Zhu Y-tao, Ji D, Liang Z. High-level classification for EEG analysis [Internet]. 2023 ; 1-8.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191823
Trabalho de evento-anais periodico
Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)
Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong
Source: Proceedings. Conference titles: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC
Subjects: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO
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ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 07 ago. 2024. , 2023
APA
Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
NLM
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Vancouver
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Artigo de periodico
Complex network-based classification of radiographic images for COVID-19 diagnosis (2023)
Weiguang, Liu; Rodrigues, Rafael Delalibera ; Jianglong, Yan; Yu-Tao, Zhu; Pereira, Everson José de Freitas; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: PLOS ONE. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19
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WEIGUANG, Liu et al. Complex network-based classification of radiographic images for COVID-19 diagnosis. PLOS ONE, v. 18, n. 9, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0290968. Acesso em: 07 ago. 2024.
APA
Weiguang, L., Rodrigues, R. D., Jianglong, Y., Yu-Tao, Z., Pereira, E. J. de F., Gen, L., et al. (2023). Complex network-based classification of radiographic images for COVID-19 diagnosis. PLOS ONE, 18( 9), 1-26. doi:10.1371/ journal.pone.0290968
NLM
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLOS ONE. 2023 ; 18( 9): 1-26.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1371/journal.pone.0290968
Vancouver
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLOS ONE. 2023 ; 18( 9): 1-26.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1371/journal.pone.0290968
Artigo de periodico
Characterizing data patterns with core-periphery network modeling (2023)
Jianglong, Yan; Anghinoni, Leandro ; Yu-Tao, Zhu; Weiguang, Liu; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: Journal of Computational Science. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, RADIOGRAFIA, COVID-19
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ABNT
JIANGLONG, Yan et al. Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, n. Ja 2023, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2022.101912. Acesso em: 07 ago. 2024.
APA
Jianglong, Y., Anghinoni, L., Yu-Tao, Z., Weiguang, L., Gen, L., Qiusheng, Z., & Liang, Z. (2023). Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, 66( Ja 2023), 1-13. doi:10.1016/j.jocs.2022.101912
NLM
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Vancouver
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Artigo de periodico
Effects of structural modifications on cluster synchronization patterns (2022)
Qiang, Li; Peron, Thomas ; Stankovski, Tomislav ; Peng, Ji
Source: Nonlinear Dynamics. Unidade: ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS
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ABNT
QIANG, Li et al. Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, v. 108, n. 4, p. 3529-3541, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11071-022-07383-w. Acesso em: 07 ago. 2024.
APA
Qiang, L., Peron, T., Stankovski, T., & Peng, J. (2022). Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, 108( 4), 3529-3541. doi:10.1007/s11071-022-07383-w
NLM
Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
Vancouver
Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
Artigo de periodico
Network community detection via iterative edge removal in a flocking-like system (2021)
Verri, Filipe Alves Neto ; Gueleri, Roberto Alves ; Qiusheng, Zheng; Junbao, Zhang; Liang, Zhao
Source: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS, ALGORITMOS ÚTEIS E ESPECÍFICOS
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VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2843-2855, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00154-5. Acesso em: 07 ago. 2024.
APA
Verri, F. A. N., Gueleri, R. A., Qiusheng, Z., Junbao, Z., & Liang, Z. (2021). Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, 230( 14-15), 2843-2855. doi:10.1140/epjs/s11734-021-00154-5
NLM
Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5
Vancouver
Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5
Artigo de periodico
Performance measures after perturbations in the presence of inertia (2021)
Ye, Jiachen; Peron, Thomas ; Lin, Wei; Kurths, Jürgen; Ji, Peng
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS
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YE, Jiachen et al. Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, v. 97, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.105727. Acesso em: 07 ago. 2024.
APA
Ye, J., Peron, T., Lin, W., Kurths, J., & Ji, P. (2021). Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, 97, 1-10. doi:10.1016/j.cnsns.2021.105727
NLM
Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
Vancouver
Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
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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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: 07 ago. 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 ago. 07 ] 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 ago. 07 ] 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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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: 07 ago. 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 ago. 07 ] 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 ago. 07 ] 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: 07 ago. 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 ago. 07 ] 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 ago. 07 ] Available from: https://doi.org/10.1007/978-3-030-93409-5_2
Trabalho de evento
An optimized modularity-based high level classification model (2020)
Colliri, Tiago Santos ; Weiguang, Liu; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
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ABNT
COLLIRI, Tiago Santos e WEIGUANG, Liu e LIANG, Zhao. An optimized modularity-based high level classification model. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206755. Acesso em: 07 ago. 2024.
APA
Colliri, T. S., Weiguang, L., & Liang, Z. (2020). An optimized modularity-based high level classification model. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206755
NLM
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Vancouver
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Artigo de periodico
Particle swarm optimization for network-based data classification (2019)
Carneiro, Murillo G.; Cheng, Ran; Zhao, Liang ; Jin, Yaochu
Source: Neural Networks. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA
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ABNT
CARNEIRO, Murillo G. et al. Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2018.12.003. Acesso em: 07 ago. 2024.
APA
Carneiro, M. G., Cheng, R., Zhao, L., & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. doi:10.1016/j.neunet.2018.12.003
NLM
Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
Vancouver
Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
Artigo de periodico
Spectra of random networks in the weak clustering regime (2018)
Peron, Thomas ; Ji, Peng; Kurths, Jürgen; Rodrigues, Francisco Aparecido
Source: Europhysics Letters - EPL. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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ABNT
PERON, Thomas et al. Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, v. 121, n. 6, p. 57006-p1-57006-p6, 2018Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/121/68001. Acesso em: 07 ago. 2024.
APA
Peron, T., Ji, P., Kurths, J., & Rodrigues, F. A. (2018). Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, 121( 6), 57006-p1-57006-p6. doi:10.1209/0295-5075/121/68001
NLM
Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
Vancouver
Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
Artigo de periodico
Network community detection via iterative edge removal in a flocking-like system (2018)
Verri, Filipe Alves Neto; Gueleri, Roberto Alves; Zheng, Qiusheng; Liang, Zhao
Source: ArXiv Statistics. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, p. 1-6, 2018Tradução . . Disponível em: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system. Acesso em: 07 ago. 2024.
APA
Verri, F. A. N., Gueleri, R. A., Zheng, Q., & Liang, Z. (2018). Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, 1-6. Recuperado de https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
NLM
Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2024 ago. 07 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
Vancouver
Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2024 ago. 07 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system
Trabalho de evento
Time series trend detection and forecasting using complex network topology analysis (2018)
Anghinoni, Leandro; Liang, Zhao ; Zheng, Qiusheng; Zhang, Junbao
Source: Annals. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP
Assunto: REDES COMPLEXAS
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ABNT
ANGHINONI, Leandro et al. Time series trend detection and forecasting using complex network topology analysis. 2018, Anais.. Rio de Janeiro: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2018. Disponível em: https://doi.org/10.1109/ijcnn.2018.8489167. Acesso em: 07 ago. 2024.
APA
Anghinoni, L., Liang, Z., Zheng, Q., & Zhang, J. (2018). Time series trend detection and forecasting using complex network topology analysis. In Annals. Rio de Janeiro: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/ijcnn.2018.8489167
NLM
Anghinoni L, Liang Z, Zheng Q, Zhang J. Time series trend detection and forecasting using complex network topology analysis [Internet]. Annals. 2018 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/ijcnn.2018.8489167
Vancouver
Anghinoni L, Liang Z, Zheng Q, Zhang J. Time series trend detection and forecasting using complex network topology analysis [Internet]. Annals. 2018 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/ijcnn.2018.8489167
Artigo de periodico
Symmetry-guided design of topologies for supercomputer networks (2018)
Sabino, Alan U.; Vasconcelos, Miguel F. S.; Deng, Yuefan; Ramos, Alexandre Ferreira
Source: International Journal of Modern Physics C: computational physics, physical computation. Unidade: EACH
Subjects: SUPERCOMPUTADORES, TEORIA DOS GRUPOS, REDES COMPLEXAS, TOPOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SABINO, Alan U. et al. Symmetry-guided design of topologies for supercomputer networks. International Journal of Modern Physics C: computational physics, physical computation, v. 29, n. 7, p. 1850048-1-1850048-17, 2018Tradução . . Disponível em: https://doi.org/10.1142/S0129183118500481. Acesso em: 07 ago. 2024.
APA
Sabino, A. U., Vasconcelos, M. F. S., Deng, Y., & Ramos, A. F. (2018). Symmetry-guided design of topologies for supercomputer networks. International Journal of Modern Physics C: computational physics, physical computation, 29( 7), 1850048-1-1850048-17. doi:10.1142/S0129183118500481
NLM
Sabino AU, Vasconcelos MFS, Deng Y, Ramos AF. Symmetry-guided design of topologies for supercomputer networks [Internet]. International Journal of Modern Physics C: computational physics, physical computation. 2018 ; 29( 7): 1850048-1-1850048-17.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1142/S0129183118500481
Vancouver
Sabino AU, Vasconcelos MFS, Deng Y, Ramos AF. Symmetry-guided design of topologies for supercomputer networks [Internet]. International Journal of Modern Physics C: computational physics, physical computation. 2018 ; 29( 7): 1850048-1-1850048-17.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1142/S0129183118500481
Trabalho de evento
Improving semantic role labeling using high-level classification in complex networks (2017)
Carneiro, Murilo G; Rosa, João Luís Garcia ; Qiusheng, Zheng; Xiaoming, Liu; Liang, Zhao
Source: Proceedings. Conference titles: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery - ICNC-FSKD. Unidades: ICMC, FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murilo G et al. Improving semantic role labeling using high-level classification in complex networks. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/FSKD.2017.8393113. Acesso em: 07 ago. 2024.
APA
Carneiro, M. G., Rosa, J. L. G., Qiusheng, Z., Xiaoming, L., & Liang, Z. (2017). Improving semantic role labeling using high-level classification in complex networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/FSKD.2017.8393113
NLM
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113
Vancouver
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113

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