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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
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, FSP
Assuntos: REDES COMPLEXAS, COVID-19, PROGNÓSTICO, BIOMARCADORES, CONTAGEM DE CÉLULAS SANGUÍNEAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 jul. 2025.
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 2025 jul. 08 ] 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 2025 jul. 08 ] 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
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Assuntos: REDES COMPLEXAS, ANÁLISE MULTINÍVEL, ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 jul. 2025.
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 2025 jul. 08 ] 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 2025 jul. 08 ] 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
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: EACH, FFCLRP
Assuntos: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, CARTÃO MAGNÉTICO, PADRÕES DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 jul. 2025.
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 2025 jul. 08 ] 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 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Trabalho de evento-anais periodico
Topological street-network characterization through feature-vector and cluster analysis (2018)
Spadon, Gabriel; Gimenes, Gabriel; Rodrigues Junior, José Fernando
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, RUAS E AVENIDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 jul. 2025. , 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 2025 jul. 08 ] 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 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
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
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: 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: 08 jul. 2025. , 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 2025 jul. 08 ] 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 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Trabalho de evento-anais periodico
A rotation invariant face recognition method based on complex network (2010)
Gonçalves, Wesley Nunes; Silva, Jonathan de Andrade; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP 2010. Unidade: IFSC
Assuntos: IMAGEM DIGITAL, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Wesley Nunes e SILVA, Jonathan de Andrade e BRUNO, Odemir Martinez. A rotation invariant face recognition method based on complex network. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-16687-7. Acesso em: 08 jul. 2025. , 2010
APA
Gonçalves, W. N., Silva, J. de A., & Bruno, O. M. (2010). A rotation invariant face recognition method based on complex network. Lecture Notes in Computer Science. Heidelberg: Springer. doi:10.1007/978-3-642-16687-7
NLM
Gonçalves WN, Silva J de A, Bruno OM. A rotation invariant face recognition method based on complex network [Internet]. Lecture Notes in Computer Science. 2010 ; 6419 426-433.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-16687-7
Vancouver
Gonçalves WN, Silva J de A, Bruno OM. A rotation invariant face recognition method based on complex network [Internet]. Lecture Notes in Computer Science. 2010 ; 6419 426-433.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-16687-7

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