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  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      NALDI, Murilo Coelho e CAMPELLO, Ricardo José Gabrielli Barreto. Combining information from distributed evolutionary k-means. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.11. Acesso em: 11 nov. 2024.
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      Naldi, M. C., & Campello, R. J. G. B. (2012). Combining information from distributed evolutionary k-means. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.11
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      Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.11
    • Vancouver

      Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.11
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      BREVE, Fabricio e LIANG, Zhao. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.16. Acesso em: 11 nov. 2024.
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      Breve, F., & Liang, Z. (2012). Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.16
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      Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.16
    • Vancouver

      Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.16
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      MIRANDA, Péricles B. C et al. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.12. Acesso em: 11 nov. 2024.
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      Miranda, P. B. C., Prudêncio, R. B. C., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.12
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      Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.12
    • Vancouver

      Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.12
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      XIAOMING, Liang e LIANG, Zhao. Firing activity induced by nonidentical signal phases in two coupled excitable neurons. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.18. Acesso em: 11 nov. 2024.
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      Xiaoming, L., & Liang, Z. (2012). Firing activity induced by nonidentical signal phases in two coupled excitable neurons. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.18
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      Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.18
    • Vancouver

      Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.18
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      CUPERTINO, Thiago H e LIANG, Zhao. Using interacting forces to perform semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.24. Acesso em: 11 nov. 2024.
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      Cupertino, T. H., & Liang, Z. (2012). Using interacting forces to perform semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.24
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      Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.24
    • Vancouver

      Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.24
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ROSSI, André Luis Debiaso e CARVALHO, André Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Meta-learning for periodic algorithm selection in time-changing data. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.50. Acesso em: 11 nov. 2024.
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      Rossi, A. L. D., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). Meta-learning for periodic algorithm selection in time-changing data. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.50
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      Rossi ALD, Carvalho ACP de LF de, Soares C. Meta-learning for periodic algorithm selection in time-changing data [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.50
    • Vancouver

      Rossi ALD, Carvalho ACP de LF de, Soares C. Meta-learning for periodic algorithm selection in time-changing data [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.50
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      BENICASA, Alcides X et al. An object-based visual selection model with bottom-up and top-down modulations. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.48. Acesso em: 11 nov. 2024.
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      Benicasa, A. X., Quiles, M. G., Liang, Z., & Romero, R. A. F. (2012). An object-based visual selection model with bottom-up and top-down modulations. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.48
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      Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.48
    • Vancouver

      Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.48
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SESTARO, Davidson M e COVÕES, Thiago F e HRUSCHKA, Eduardo Raul. A semi-supervised approach to estimate the number of clusters per class. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.31. Acesso em: 11 nov. 2024.
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      Sestaro, D. M., Covões, T. F., & Hruschka, E. R. (2012). A semi-supervised approach to estimate the number of clusters per class. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.31
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      Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.31
    • Vancouver

      Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.31
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      ARAÚJO, Bilzã e LIANG, Zhao. Robustness analysis of network-based semi-supervised learning algorithms. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.47. Acesso em: 11 nov. 2024.
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      Araújo, B., & Liang, Z. (2012). Robustness analysis of network-based semi-supervised learning algorithms. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.47
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      Araújo B, Liang Z. Robustness analysis of network-based semi-supervised learning algorithms [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.47
    • Vancouver

      Araújo B, Liang Z. Robustness analysis of network-based semi-supervised learning algorithms [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.47
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      VALLIM, Rosane M. M et al. A density-based clustering approach for behavior change detection in data streams. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.22. Acesso em: 11 nov. 2024.
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      Vallim, R. M. M., Andrade Filho, J. A., Carvalho, A. C. P. de L. F. de, & Gama, J. (2012). A density-based clustering approach for behavior change detection in data streams. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.22
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      Vallim RMM, Andrade Filho JA, Carvalho ACP de LF de, Gama J. A density-based clustering approach for behavior change detection in data streams [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.22
    • Vancouver

      Vallim RMM, Andrade Filho JA, Carvalho ACP de LF de, Gama J. A density-based clustering approach for behavior change detection in data streams [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.22
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      GUELERI, Roberto Alves e LIANG, Zhao. An energy exchanging mechanism for data clustering. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.34. Acesso em: 11 nov. 2024.
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      Gueleri, R. A., & Liang, Z. (2012). An energy exchanging mechanism for data clustering. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.34
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      Gueleri RA, Liang Z. An energy exchanging mechanism for data clustering [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.34
    • Vancouver

      Gueleri RA, Liang Z. An energy exchanging mechanism for data clustering [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.34
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

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      CUPERTINO, Thiago H e LIANG, Zhao. Using Katz centrality to classify multiple pattern transformations. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.23. Acesso em: 11 nov. 2024.
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      Cupertino, T. H., & Liang, Z. (2012). Using Katz centrality to classify multiple pattern transformations. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.23
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      Cupertino TH, Liang Z. Using Katz centrality to classify multiple pattern transformations [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.23
    • Vancouver

      Cupertino TH, Liang Z. Using Katz centrality to classify multiple pattern transformations [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.23
  • Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      GARCIA, Luís Paulo F e LORENA, Ana Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira de. A study on class noise detection and elimination. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.49. Acesso em: 11 nov. 2024.
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      Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2012). A study on class noise detection and elimination. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.49
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      Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study on class noise detection and elimination [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.49
    • Vancouver

      Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study on class noise detection and elimination [Internet]. Proceedings. 2012 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/SBRN.2012.49

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