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Filtros : "Liang, Zhao" "Financiamento DFG" Removido: " IFSC033" Limpar

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1 - 6 (6 records)

  • Artigo de periodico

    Clustered and deep echo state networks for signal noise reduction (2022)

    Oliveira Junior, Laercio de; Stelzer, Florian; Liang, Zhao

    Source: Machine Learning. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, REDES NEURAIS, SISTEMAS DINÂMICOS

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    • ABNT

      OLIVEIRA JUNIOR, Laercio de e STELZER, Florian e LIANG, Zhao. Clustered and deep echo state networks for signal noise reduction. Machine Learning, v. 111, n. 8, p. 2885-2904, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10994-022-06135-6. Acesso em: 15 jun. 2024.

    • APA

      Oliveira Junior, L. de, Stelzer, F., & Liang, Z. (2022). Clustered and deep echo state networks for signal noise reduction. Machine Learning, 111( 8), 2885-2904. doi:10.1007/s10994-022-06135-6

    • NLM

      Oliveira Junior L de, Stelzer F, Liang Z. Clustered and deep echo state networks for signal noise reduction [Internet]. Machine Learning. 2022 ; 111( 8): 2885-2904.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1007/s10994-022-06135-6

    • Vancouver

      Oliveira Junior L de, Stelzer F, Liang Z. Clustered and deep echo state networks for signal noise reduction [Internet]. Machine Learning. 2022 ; 111( 8): 2885-2904.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1007/s10994-022-06135-6

  • 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: 15 jun. 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 jun. 15 ] 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 jun. 15 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5

  • Artigo de periodico

    A review and comparative analysis of coarsening algorithms on bipartite networks (2021)

    Valejo, Alan Demetrius Baria ; Santos, Wellington de Oliveira dos; Naldi, Murilo Coelho ; Liang, Zhao

    Source: The European Physical Journal Special Topics. Unidade: FFCLRP

    Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS

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      VALEJO, Alan Demetrius Baria et al. A review and comparative analysis of coarsening algorithms on bipartite networks. The European Physical Journal Special Topics, v. 230, n. 14-15, p. 2801 - 2811, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00159-0. Acesso em: 15 jun. 2024.

    • APA

      Valejo, A. D. B., Santos, W. de O. dos, Naldi, M. C., & Liang, Z. (2021). A review and comparative analysis of coarsening algorithms on bipartite networks. The European Physical Journal Special Topics, 230( 14-15), 2801 - 2811. doi:10.1140/epjs/s11734-021-00159-0

    • NLM

      Valejo ADB, Santos W de O dos, Naldi MC, Liang Z. A review and comparative analysis of coarsening algorithms on bipartite networks [Internet]. The European Physical Journal Special Topics. 2021 ; 230( 14-15): 2801 - 2811.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00159-0

    • Vancouver

      Valejo ADB, Santos W de O dos, Naldi MC, Liang Z. A review and comparative analysis of coarsening algorithms on bipartite networks [Internet]. The European Physical Journal Special Topics. 2021 ; 230( 14-15): 2801 - 2811.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00159-0

  • Artigo de periodico

    Time series pattern identification by hierarchical community detection (2021)

    Anghinoni, Leandro ; Vega-Oliveros, Didier Augusto ; Silva, Thiago Christiano ; Liang, Zhao

    Source: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES

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      ANGHINONI, Leandro et al. Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2775-2782, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00163-4. Acesso em: 15 jun. 2024.

    • APA

      Anghinoni, L., Vega-Oliveros, D. A., Silva, T. C., & Liang, Z. (2021). Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, 230( 14-15), 2775-2782. doi:10.1140/epjs/s11734-021-00163-4

    • NLM

      Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4

    • Vancouver

      Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4

  • Trabalho de evento

    Measuring the engagement level in encrypted group conversations by using temporal networks (2020)

    Cotacallapa, Moshe; Berton, Lilian; Ferreira, Leonardo N.; Quiles, Marcos Gonçalves; Liang, Zhao; Macau, Elbert E. N.; Vega-Oliveros, Didier Augusto

    Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: FFCLRP

    Subjects: MENSAGEM, CHAT, CRIPTOLOGIA, PRIVACIDADE, FRAMEWORKS

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      COTACALLAPA, Moshe et al. Measuring the engagement level in encrypted group conversations by using temporal networks. 2020, Anais.. Los Alamitos: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9207174. Acesso em: 15 jun. 2024.

    • APA

      Cotacallapa, M., Berton, L., Ferreira, L. N., Quiles, M. G., Liang, Z., Macau, E. E. N., & Vega-Oliveros, D. A. (2020). Measuring the engagement level in encrypted group conversations by using temporal networks. In Proceedings. Los Alamitos: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/IJCNN48605.2020.9207174

    • NLM

      Cotacallapa M, Berton L, Ferreira LN, Quiles MG, Liang Z, Macau EEN, Vega-Oliveros DA. Measuring the engagement level in encrypted group conversations by using temporal networks [Internet]. Proceedings. 2020 ;[citado 2024 jun. 15 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9207174

    • Vancouver

      Cotacallapa M, Berton L, Ferreira LN, Quiles MG, Liang Z, Macau EEN, Vega-Oliveros DA. Measuring the engagement level in encrypted group conversations by using temporal networks [Internet]. Proceedings. 2020 ;[citado 2024 jun. 15 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9207174

  • Artigo de periodico

    Global fire season severity analysis and forecasting (2020)

    Ferreira, Leonardo N.; Vega-Oliveros, Didier Augusto ; Liang, Zhao; Cardoso, Manoel F.; Macau, Elbert E. N.

    Source: Computers & Geosciences. Unidade: FFCLRP

    Subjects: INCÊNDIOS FLORESTAIS, QUEIMADA, GEOCIÊNCIAS, MUDANÇA CLIMÁTICA, ANÁLISE DE SÉRIES TEMPORAIS

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      FERREIRA, Leonardo N. et al. Global fire season severity analysis and forecasting. Computers & Geosciences, v. 134, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2019.104339. Acesso em: 15 jun. 2024.

    • APA

      Ferreira, L. N., Vega-Oliveros, D. A., Liang, Z., Cardoso, M. F., & Macau, E. E. N. (2020). Global fire season severity analysis and forecasting. Computers & Geosciences, 134, 1-9. doi:10.1016/j.cageo.2019.104339

    • NLM

      Ferreira LN, Vega-Oliveros DA, Liang Z, Cardoso MF, Macau EEN. Global fire season severity analysis and forecasting [Internet]. Computers & Geosciences. 2020 ; 134 1-9.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1016/j.cageo.2019.104339

    • Vancouver

      Ferreira LN, Vega-Oliveros DA, Liang Z, Cardoso MF, Macau EEN. Global fire season severity analysis and forecasting [Internet]. Computers & Geosciences. 2020 ; 134 1-9.[citado 2024 jun. 15 ] Available from: https://doi.org/10.1016/j.cageo.2019.104339
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