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  • In: Model Assisted Statistics and Applications. Unidade: ICMC

    Subjects: Análise De Sobrevivência, Distribuições (probabilidade), Métodos Mcmc, Inferência Bayesiana

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      BARRIGA, Gladys Dorotea Cacsire; DEY, Dipak Kumar; CANCHO, Vicente Garibay; SUZUKI, Adriano Kamimura. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, Amsterdam, IOS Press, n. 1, p. 35-51, 2020. Disponível em: < https://doi.org/10.3233/MAS-190477 > DOI: 10.3233/MAS-190477.
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      Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
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      Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.Available from: https://doi.org/10.3233/MAS-190477
    • Vancouver

      Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.Available from: https://doi.org/10.3233/MAS-190477
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Aprendizado Computacional, Mineração De Dados

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      FALEIROS, Thiago de Paulo; VALEJO, Alan Demetrius Baria; LOPES, Alneu de Andrade. Unsupervised learning of textual pattern based on propagation in bipartite graph. Intelligent Data Analysis, Amsterdam, IOS Press, v. 24, n. 3, p. 543-565, 2020. Disponível em: < https://doi.org/10.3233/IDA-194528 > DOI: 10.3233/IDA-194528.
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      Faleiros, T. de P., Valejo, A. D. B., & Lopes, A. de A. (2020). Unsupervised learning of textual pattern based on propagation in bipartite graph. Intelligent Data Analysis, 24( 3), 543-565. doi:10.3233/IDA-194528
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      Faleiros T de P, Valejo ADB, Lopes A de A. Unsupervised learning of textual pattern based on propagation in bipartite graph [Internet]. Intelligent Data Analysis. 2020 ; 24( 3): 543-565.Available from: https://doi.org/10.3233/IDA-194528
    • Vancouver

      Faleiros T de P, Valejo ADB, Lopes A de A. Unsupervised learning of textual pattern based on propagation in bipartite graph [Internet]. Intelligent Data Analysis. 2020 ; 24( 3): 543-565.Available from: https://doi.org/10.3233/IDA-194528
  • In: Proceedings. Conference title: World Congress of Medical and Health Informatics - MEDINFO. Unidade: ICMC

    Subjects: Banco De Dados Relacionais, Sql, Recuperação Da Informação, Sistemas Computadorizados De Registros Médicos

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      LIMA, Daniel Mário de; RODRIGUES JUNIOR, José Fernando; TRAINA, Agma Juci Machado; PIRES, Fábio Antero; GUTIERREZ, Marco Antonio. Transforming two decades of ePR data to OMOP CDM for clinical research. Anais.. Amsterdam: IOS Press, 2019.Disponível em: DOI: 10.3233/SHTI190218.
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      Lima, D. M. de, Rodrigues Junior, J. F., Traina, A. J. M., Pires, F. A., & Gutierrez, M. A. (2019). Transforming two decades of ePR data to OMOP CDM for clinical research. In Proceedings. Amsterdam: IOS Press. doi:10.3233/SHTI190218
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      Lima DM de, Rodrigues Junior JF, Traina AJM, Pires FA, Gutierrez MA. Transforming two decades of ePR data to OMOP CDM for clinical research [Internet]. Proceedings. 2019 ;Available from: http://dx.doi.org/10.3233/SHTI190218
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      Lima DM de, Rodrigues Junior JF, Traina AJM, Pires FA, Gutierrez MA. Transforming two decades of ePR data to OMOP CDM for clinical research [Internet]. Proceedings. 2019 ;Available from: http://dx.doi.org/10.3233/SHTI190218
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Aprendizado Computacional, Análise De Séries Temporais, Mineração De Dados, Algoritmos úteis E Específicos

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      VERDECIA-CABRERA, Alberto; BLANCO, Isvani Frías; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. An online adaptive classifier ensemble for mining non-stationary data streams. Intelligent Data Analysis, Amsterdam, IOS Press, v. 22, n. 4, p. 787-806, 2018. Disponível em: < http://dx.doi.org/10.3233/IDA-173522 > DOI: 10.3233/IDA-173522.
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      Verdecia-Cabrera, A., Blanco, I. F., & Carvalho, A. C. P. de L. F. de. (2018). An online adaptive classifier ensemble for mining non-stationary data streams. Intelligent Data Analysis, 22( 4), 787-806. doi:10.3233/IDA-173522
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      Verdecia-Cabrera A, Blanco IF, Carvalho ACP de LF de. An online adaptive classifier ensemble for mining non-stationary data streams [Internet]. Intelligent Data Analysis. 2018 ; 22( 4): 787-806.Available from: http://dx.doi.org/10.3233/IDA-173522
    • Vancouver

      Verdecia-Cabrera A, Blanco IF, Carvalho ACP de LF de. An online adaptive classifier ensemble for mining non-stationary data streams [Internet]. Intelligent Data Analysis. 2018 ; 22( 4): 787-806.Available from: http://dx.doi.org/10.3233/IDA-173522
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Aprendizado Computacional, Computação Móvel, Biometria

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      PISANI, Paulo Henrique; LORENA, Ana Carolina; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Adaptive algorithms applied to accelerometer biometrics in a data stream context. Intelligent Data Analysis, Amsterdam, IOS Press, v. 21, n. 2, p. 353-370, 2017. Disponível em: < http://dx.doi.org/10.3233/IDA-150403 > DOI: 10.3233/IDA-150403.
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      Pisani, P. H., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2017). Adaptive algorithms applied to accelerometer biometrics in a data stream context. Intelligent Data Analysis, 21( 2), 353-370. doi:10.3233/IDA-150403
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      Pisani PH, Lorena AC, Carvalho ACP de LF de. Adaptive algorithms applied to accelerometer biometrics in a data stream context [Internet]. Intelligent Data Analysis. 2017 ; 21( 2): 353-370.Available from: http://dx.doi.org/10.3233/IDA-150403
    • Vancouver

      Pisani PH, Lorena AC, Carvalho ACP de LF de. Adaptive algorithms applied to accelerometer biometrics in a data stream context [Internet]. Intelligent Data Analysis. 2017 ; 21( 2): 353-370.Available from: http://dx.doi.org/10.3233/IDA-150403
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Aprendizado Computacional, Reconhecimento De Padrões, Análise De Séries Temporais

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      SOUZA, Vinícius M. A; ROSSI, Rafael G; BATISTA, Gustavo Enrique de Almeida Prado Alves; REZENDE, Solange Oliveira. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, Amsterdam, IOS Press, v. 21, n. 5, p. 1061-1095, 2017. Disponível em: < http://dx.doi.org/10.3233/IDA-163075 > DOI: 10.3233/IDA-163075.
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      Souza, V. M. A., Rossi, R. G., Batista, G. E. de A. P. A., & Rezende, S. O. (2017). Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, 21( 5), 1061-1095. doi:10.3233/IDA-163075
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      Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.Available from: http://dx.doi.org/10.3233/IDA-163075
    • Vancouver

      Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.Available from: http://dx.doi.org/10.3233/IDA-163075
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Aprendizado Computacional, Análise De Séries Temporais, Algoritmos

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      ROSSI, André Luis Debiaso; SOUZA, Bruno Feres de; SOARES, Carlos; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. A guidance of data stream characterization for meta-learning. Intelligent Data Analysis, Amsterdam, IOS Press, v. 21, n. 4, p. 1015-1035, 2017. Disponível em: < http://dx.doi.org/10.3233/IDA-160083 > DOI: 10.3233/IDA-160083.
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      Rossi, A. L. D., Souza, B. F. de, Soares, C., & Carvalho, A. C. P. de L. F. de. (2017). A guidance of data stream characterization for meta-learning. Intelligent Data Analysis, 21( 4), 1015-1035. doi:10.3233/IDA-160083
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      Rossi ALD, Souza BF de, Soares C, Carvalho ACP de LF de. A guidance of data stream characterization for meta-learning [Internet]. Intelligent Data Analysis. 2017 ; 21( 4): 1015-1035.Available from: http://dx.doi.org/10.3233/IDA-160083
    • Vancouver

      Rossi ALD, Souza BF de, Soares C, Carvalho ACP de LF de. A guidance of data stream characterization for meta-learning [Internet]. Intelligent Data Analysis. 2017 ; 21( 4): 1015-1035.Available from: http://dx.doi.org/10.3233/IDA-160083
  • In: Proceedings. Conference title: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC

    Subjects: Inteligência Artificial, Aprendizado Computacional, Processamento De Imagens, Computação Gráfica

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      RIVA, Mateus; PONTI, Moacir Antonelli; CAMPOS, Teófilo de. One-class to multi-class model update using the class-incremental optimum-path forest classifier. Anais.. Amsterdam: IOS Press, 2016.Disponível em: DOI: 10.3233/978-1-61499-672-9-216.
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      Riva, M., Ponti, M. A., & Campos, T. de. (2016). One-class to multi-class model update using the class-incremental optimum-path forest classifier. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-61499-672-9-216
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      Riva M, Ponti MA, Campos T de. One-class to multi-class model update using the class-incremental optimum-path forest classifier [Internet]. Proceedings. 2016 ;Available from: http://dx.doi.org/10.3233/978-1-61499-672-9-216
    • Vancouver

      Riva M, Ponti MA, Campos T de. One-class to multi-class model update using the class-incremental optimum-path forest classifier [Internet]. Proceedings. 2016 ;Available from: http://dx.doi.org/10.3233/978-1-61499-672-9-216
  • In: Integrated Computer-Aided Engineering. Unidade: ICMC

    Subjects: Inteligência Artificial, Algoritmos

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      COLETTA, Luiz F. S; HRUSCHKA, Eduardo Raul; ACHARYA, Ayan; GHOSH, Joydeep. Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering, Amsterdam, IOS Press, v. 22, n. 3, p. 229-242, 2015. Disponível em: < http://dx.doi.org/10.3233/ICA-150485 > DOI: 10.3233/ICA-150485.
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      Coletta, L. F. S., Hruschka, E. R., Acharya, A., & Ghosh, J. (2015). Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering, 22( 3), 229-242. doi:10.3233/ICA-150485
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      Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Using metaheuristics to optimize the combination of classifier and cluster ensembles [Internet]. Integrated Computer-Aided Engineering. 2015 ; 22( 3): 229-242.Available from: http://dx.doi.org/10.3233/ICA-150485
    • Vancouver

      Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Using metaheuristics to optimize the combination of classifier and cluster ensembles [Internet]. Integrated Computer-Aided Engineering. 2015 ; 22( 3): 229-242.Available from: http://dx.doi.org/10.3233/ICA-150485
  • In: Journal of Intelligent and Fuzzy Systems. Unidade: ICMC

    Subjects: Sistemas Embutidos, Computação Evolutiva, Robótica

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      MARTINS, Jean P; DELBEM, Alexandre Cláudio Botazzo. Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection. Journal of Intelligent and Fuzzy Systems, Amsterdam, IOS Press, v. 26, p. 2537-2545, 2014. Disponível em: < http://dx.doi.org/10.3233/IFS-130925 > DOI: 10.3233/IFS-130925.
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      Martins, J. P., & Delbem, A. C. B. (2014). Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection. Journal of Intelligent and Fuzzy Systems, 26, 2537-2545. doi:10.3233/IFS-130925
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      Martins JP, Delbem ACB. Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 26 2537-2545.Available from: http://dx.doi.org/10.3233/IFS-130925
    • Vancouver

      Martins JP, Delbem ACB. Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 26 2537-2545.Available from: http://dx.doi.org/10.3233/IFS-130925
  • In: Journal of Intelligent and Fuzzy Systems. Unidade: ICMC

    Subjects: Veículos Autônomos, Redes Neurais, Visão Computacional

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      PESSIN, Gustavo; SOUZA, Jefferson Rodrigo de; OSÓRIO, Fernando Santos; et al. Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, Amsterdam, IOS Press, v. 27, n. 6, p. 3047-3058, 2014. Disponível em: < http://dx.doi.org/10.3233/IFS-141262 > DOI: 10.3233/IFS-141262.
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      Pessin, G., Souza, J. R. de, Osório, F. S., Faiçal, B. S., Filho, G. P. R., Ueyama, J., et al. (2014). Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, 27( 6), 3047-3058. doi:10.3233/IFS-141262
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      Pessin G, Souza JR de, Osório FS, Faiçal BS, Filho GPR, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.Available from: http://dx.doi.org/10.3233/IFS-141262
    • Vancouver

      Pessin G, Souza JR de, Osório FS, Faiçal BS, Filho GPR, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.Available from: http://dx.doi.org/10.3233/IFS-141262
  • In: International Journal of Hybrid Intelligent Systems. Unidade: ICMC

    Subjects: Inteligência Artificial, Aprendizado Computacional

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      PRIYA, Rattan; SOUZA, Bruno Feres de; ROSSI, André L. D; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, Amsterdam, IOS Press, v. 10, p. 23-32, 2013. Disponível em: < http://dx.doi.org/10.3233/HIS-130162 > DOI: 10.3233/HIS-130162.
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      Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2013). Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, 10, 23-32. doi:10.3233/HIS-130162
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      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.Available from: http://dx.doi.org/10.3233/HIS-130162
    • Vancouver

      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.Available from: http://dx.doi.org/10.3233/HIS-130162
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Inteligência Artificial

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      COVÕES, Thiago F; HRUSCHKA, Eduardo Raul; GHOSH, Joydeep. A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis, Amsterdam, IOS Press, v. 17, n. 3, p. 485-505, 2013.
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      Covões, T. F., Hruschka, E. R., & Ghosh, J. (2013). A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis, 17( 3), 485-505.
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      Covões TF, Hruschka ER, Ghosh J. A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis. 2013 ; 17( 3): 485-505.
    • Vancouver

      Covões TF, Hruschka ER, Ghosh J. A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis. 2013 ; 17( 3): 485-505.
  • In: Intelligent Decision Technologies. Unidade: ICMC

    Subjects: Inteligência Artificial

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      SANTOS, Fabiano Fernandes dos; CARVALHO, Veronica Oliveira de; REZENDE, Solange Oliveira. Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, Amsterdam, IOS Press, n. 1, p. 43-58, 2012. Disponível em: < http://dx.doi.org/10.3233/IDT-2012-0121 > DOI: 10.3233/IDT-2012-0121.
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      Santos, F. F. dos, Carvalho, V. O. de, & Rezende, S. O. (2012). Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, ( 1), 43-58. doi:10.3233/IDT-2012-0121
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      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.Available from: http://dx.doi.org/10.3233/IDT-2012-0121
    • Vancouver

      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.Available from: http://dx.doi.org/10.3233/IDT-2012-0121
  • In: International Journal of Hybrid Intelligent Systems. Unidade: ICMC

    Subjects: Inteligência Artificial

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      KANDA, Jorge Yoshio; CARVALHO, André Carlos Ponce de Leon Ferreira; HRUSCHKA, Eduardo Raul; SOARES, Carlos. Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, Amsterdam, IOS Press, v. 8, n. 3, p. 117-128, 2011. Disponível em: < http://dx.doi.org/10.3233/HIS-2011-0133 > DOI: 10.3233/HIS-2011-0133.
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      Kanda, J. Y., Carvalho, A. C. P. de L. F., Hruschka, E. R., & Soares, C. (2011). Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, 8( 3), 117-128. doi:10.3233/HIS-2011-0133
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      Kanda JY, Carvalho ACP de LF, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.Available from: http://dx.doi.org/10.3233/HIS-2011-0133
    • Vancouver

      Kanda JY, Carvalho ACP de LF, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.Available from: http://dx.doi.org/10.3233/HIS-2011-0133
  • In: Intelligent Data Analysis : an International Journal. Unidade: ICMC

    Subjects: Inteligência Artificial

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      SANTOS, Edimilson Batista dos; HRUSCHKA JÚNIOR, Estevam Rafael; HRUSCHKA, Eduardo Raul; EBECKEN, Nelson Francisco Favilla. Bayesian network classifiers: beyond classification accuracy. Intelligent Data Analysis : an International Journal, Amsterdam, IOS Press, v. 15, n. 3, p. 279-298, 2011. Disponível em: < http://dx.doi.org/10.3233/IDA-2010-0468 > DOI: 10.3233/IDA-2010-0468.
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      Santos, E. B. dos, Hruschka Júnior, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2011). Bayesian network classifiers: beyond classification accuracy. Intelligent Data Analysis : an International Journal, 15( 3), 279-298. doi:10.3233/IDA-2010-0468
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      Santos EB dos, Hruschka Júnior ER, Hruschka ER, Ebecken NFF. Bayesian network classifiers: beyond classification accuracy [Internet]. Intelligent Data Analysis : an International Journal. 2011 ;15( 3): 279-298.Available from: http://dx.doi.org/10.3233/IDA-2010-0468
    • Vancouver

      Santos EB dos, Hruschka Júnior ER, Hruschka ER, Ebecken NFF. Bayesian network classifiers: beyond classification accuracy [Internet]. Intelligent Data Analysis : an International Journal. 2011 ;15( 3): 279-298.Available from: http://dx.doi.org/10.3233/IDA-2010-0468
  • In: Intelligent Data Analysis. Unidade: ICMC

    Subjects: Inteligência Artificial

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      CERRI, Ricardo; CARVALHO, André Carlos Ponce de Leon Ferreira de; FREITAS, Alex A. Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intelligent Data Analysis, Amsterdam, IOS Press, v. 15, p. 861-887, 2011. Disponível em: < http://dx.doi.org/10.3233/IDA-2011-0500 > DOI: 10.3233/IDA-2011-0500.
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      Cerri, R., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2011). Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intelligent Data Analysis, 15, 861-887. doi:10.3233/IDA-2011-0500
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      Cerri R, Carvalho ACP de LF de, Freitas AA. Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification [Internet]. Intelligent Data Analysis. 2011 ; 15 861-887.Available from: http://dx.doi.org/10.3233/IDA-2011-0500
    • Vancouver

      Cerri R, Carvalho ACP de LF de, Freitas AA. Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification [Internet]. Intelligent Data Analysis. 2011 ; 15 861-887.Available from: http://dx.doi.org/10.3233/IDA-2011-0500
  • In: Journal of Computational Methods in Sciences and Engineering. Unidade: ICMC

    Subjects: Inteligência Artificial

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      HRUSCHKA, Estevam R.; HRUSCHKA, Eduardo Raul; EBECKEN, Nelson F. F. A Bayesian imputation method for a clustering genetic algorithm. Journal of Computational Methods in Sciences and Engineering, Amsterdam, IOS Press, v. 11, n. 4, p. 173-183, 2011. Disponível em: < http://dx.doi.org/10.3233/JCM-2011-0362 > DOI: 10.3233/JCM-2011-0362.
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      Hruschka, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2011). A Bayesian imputation method for a clustering genetic algorithm. Journal of Computational Methods in Sciences and Engineering, 11( 4), 173-183. doi:10.3233/JCM-2011-0362
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      Hruschka ER, Hruschka ER, Ebecken NFF. A Bayesian imputation method for a clustering genetic algorithm [Internet]. Journal of Computational Methods in Sciences and Engineering. 2011 ; 11( 4): 173-183.Available from: http://dx.doi.org/10.3233/JCM-2011-0362
    • Vancouver

      Hruschka ER, Hruschka ER, Ebecken NFF. A Bayesian imputation method for a clustering genetic algorithm [Internet]. Journal of Computational Methods in Sciences and Engineering. 2011 ; 11( 4): 173-183.Available from: http://dx.doi.org/10.3233/JCM-2011-0362
  • In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Unidade: ICMC

    Subjects: Inteligência Artificial, Mineração De Dados

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    • ABNT

      GAMA, João; RODRIGUES, Pedro Pereira; SPINOSA, Eduardo; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Knowledge discovery from data streams. In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web[S.l: s.n.], 2010.Disponível em: DOI: 10.3233/978-1-60750-611-9-125.
    • APA

      Gama, J., Rodrigues, P. P., Spinosa, E., & Carvalho, A. C. P. de L. F. de. (2010). Knowledge discovery from data streams. In Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press. doi:10.3233/978-1-60750-611-9-125
    • NLM

      Gama J, Rodrigues PP, Spinosa E, Carvalho ACP de LF de. Knowledge discovery from data streams [Internet]. In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press; 2010. Available from: http://dx.doi.org/10.3233/978-1-60750-611-9-125
    • Vancouver

      Gama J, Rodrigues PP, Spinosa E, Carvalho ACP de LF de. Knowledge discovery from data streams [Internet]. In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press; 2010. Available from: http://dx.doi.org/10.3233/978-1-60750-611-9-125
  • In: Proceedings. Conference title: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC

    Subjects: Inteligência Artificial

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GUTIÉRREZ, Víctor Antonio Laguna; LOPES, Alneu de Andrade. Combining local and global KNN with cotraining. Anais.. Amsterdam: IOS Press, 2010.Disponível em: DOI: 10.3233/978-1-60750-606-5-815.
    • APA

      Gutiérrez, V. A. L., & Lopes, A. de A. (2010). Combining local and global KNN with cotraining. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-60750-606-5-815
    • NLM

      Gutiérrez VAL, Lopes A de A. Combining local and global KNN with cotraining [Internet]. Proceedings. 2010 ;Available from: http://dx.doi.org/10.3233/978-1-60750-606-5-815
    • Vancouver

      Gutiérrez VAL, Lopes A de A. Combining local and global KNN with cotraining [Internet]. Proceedings. 2010 ;Available from: http://dx.doi.org/10.3233/978-1-60750-606-5-815


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