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  • Source: Applied Soft Computing. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS

    Available on 2024-02-01Online source accessDOIHow to cite
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      RIBAS, Lucas Correia; SÁ JÚNIOR, Jarbas Joaci de Mesquita; MANZANERA, Antoine; BRUNO, Odemir Martinez. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, Amsterdam, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022. Disponível em: < https://doi.org/10.1016/j.asoc.2021.108035 > DOI: 10.1016/j.asoc.2021.108035.
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      Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
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      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.Available from: https://doi.org/10.1016/j.asoc.2021.108035
    • Vancouver

      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.Available from: https://doi.org/10.1016/j.asoc.2021.108035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES

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      BILEKI, Guilherme Augusto; BARBOZA, Flavio Luiz de Moraes; SILVA, Luis Henrique Claudino; BONATO, Vanderlei. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, Amsterdam, v. 116, p. 1-13, 2022. Disponível em: < https://doi.org/10.1016/j.asoc.2021.108274 > DOI: 10.1016/j.asoc.2021.108274.
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      Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
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      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.Available from: https://doi.org/10.1016/j.asoc.2021.108274
    • Vancouver

      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.Available from: https://doi.org/10.1016/j.asoc.2021.108274
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: JOGOS DE COMPUTADOR, OTIMIZAÇÃO RESTRITA, ALGORITMOS GENÉTICOS

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      VIANA, Breno Mauricio de Freitas; PEREIRA, Leonardo Tortoro; TOLEDO, Claudio Fabiano Motta; SANTOS, Selan Rodrigues dos; MAIA, Sílvia Maria Diniz Monteiro. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, Amsterdam, v. 119, p. 1-16, 2022. Disponível em: < https://doi.org/10.1016/j.asoc.2022.108586 > DOI: 10.1016/j.asoc.2022.108586.
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      Viana, B. M. de F., Pereira, L. T., Toledo, C. F. M., Santos, S. R. dos, & Maia, S. M. D. M. (2022). Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, 119, 1-16. doi:10.1016/j.asoc.2022.108586
    • NLM

      Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.Available from: https://doi.org/10.1016/j.asoc.2022.108586
    • Vancouver

      Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.Available from: https://doi.org/10.1016/j.asoc.2022.108586
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)

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      FERREIRA, Marcos Vinícius dos Santos; RIOS, Ricardo Araújo; MELLO, Rodrigo Fernandes de; RIOS, Tatiane Nogueira. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, Amsterdam, v. 113, p. 1-13, 2021. Disponível em: < https://doi.org/10.1016/j.asoc.2021.108011 > DOI: 10.1016/j.asoc.2021.108011.
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      Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011
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      Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.Available from: https://doi.org/10.1016/j.asoc.2021.108011
    • Vancouver

      Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.Available from: https://doi.org/10.1016/j.asoc.2021.108011
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS

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      WATANABE, Thomio; WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, Amsterdam, v. No 2021, p. 1-10, 2021. Disponível em: < https://doi.org/10.1016/j.asoc.2021.107851 > DOI: 10.1016/j.asoc.2021.107851.
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      Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
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      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.Available from: https://doi.org/10.1016/j.asoc.2021.107851
    • Vancouver

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.Available from: https://doi.org/10.1016/j.asoc.2021.107851
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ALGORITMOS PARA IMAGENS

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      PONTI, Moacir Antonelli; COSTA, Gabriel B. Paranhos da; SANTOS, Fernando P; SILVEIRA, Kaue U. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, Amsterdam, v. 80, p. 414-424, 2019. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2019.04.013 > DOI: 10.1016/j.asoc.2019.04.013.
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      Ponti, M. A., Costa, G. B. P. da, Santos, F. P., & Silveira, K. U. (2019). Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, 80, 414-424. doi:10.1016/j.asoc.2019.04.013
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      Ponti MA, Costa GBP da, Santos FP, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.Available from: http://dx.doi.org/10.1016/j.asoc.2019.04.013
    • Vancouver

      Ponti MA, Costa GBP da, Santos FP, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.Available from: http://dx.doi.org/10.1016/j.asoc.2019.04.013
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES

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      CERRI, Ricardo; BASGALUPP, Márcio P; BARROS, Rodrigo C; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, Amsterdam, v. 77, p. 584-604, 2019. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2019.01.017 > DOI: 10.1016/j.asoc.2019.01.017.
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      Cerri, R., Basgalupp, M. P., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2019). Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, 77, 584-604. doi:10.1016/j.asoc.2019.01.017
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      Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.Available from: http://dx.doi.org/10.1016/j.asoc.2019.01.017
    • Vancouver

      Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.Available from: http://dx.doi.org/10.1016/j.asoc.2019.01.017
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA

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      PADILHA, Victor Alexandre; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, Amsterdam, v. 85, p. 1-11, 2019. Disponível em: < https://doi.org/10.1016/j.asoc.2019.105688 > DOI: 10.1016/j.asoc.2019.105688.
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      Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688
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      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.Available from: https://doi.org/10.1016/j.asoc.2019.105688
    • Vancouver

      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.Available from: https://doi.org/10.1016/j.asoc.2019.105688
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, AVALIAÇÃO DE DESEMPENHO, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      PINTO, Renê de Souza; DELBEM, Alexandre Claudio Botazzo; MONACO, Francisco José. Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, Amsterdam, Netherlands, v. 71, p. 1133-1152, 2018. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2017.12.040 > DOI: 10.1016/j.asoc.2017.12.040.
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      Pinto, R. de S., Delbem, A. C. B., & Monaco, F. J. (2018). Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, 71, 1133-1152. doi:10.1016/j.asoc.2017.12.040
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      Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.Available from: http://dx.doi.org/10.1016/j.asoc.2017.12.040
    • Vancouver

      Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.Available from: http://dx.doi.org/10.1016/j.asoc.2017.12.040
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      ROSA, L. S; DELBEM, Alexandre Claudio Botazzo; TOLEDO, Claudio Fabiano Motta; BONATO, Vanderlei. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, Amsterdam, Netherlands, v. 49, p. 447-461, 2016. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2016.08.035 > DOI: 10.1016/j.asoc.2016.08.035.
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      Rosa, L. S., Delbem, A. C. B., Toledo, C. F. M., & Bonato, V. (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, 49, 447-461. doi:10.1016/j.asoc.2016.08.035
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      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.Available from: http://dx.doi.org/10.1016/j.asoc.2016.08.035
    • Vancouver

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.Available from: http://dx.doi.org/10.1016/j.asoc.2016.08.035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      PAIVA, Jonatas Lopes de; TOLEDO, Claudio Fabiano Motta; PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, Amsterdam, Netherlands, v. 46, p. 778-791, 2016. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2015.09.013 > DOI: 10.1016/j.asoc.2015.09.013.
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      Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013
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      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.Available from: http://dx.doi.org/10.1016/j.asoc.2015.09.013
    • Vancouver

      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.Available from: http://dx.doi.org/10.1016/j.asoc.2015.09.013
  • Source: Applied Soft Computing. Unidades: EESC, ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS, MÉTODO DE MONTE CARLO

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      PRADO, Ricardo Sérgio; SILVA, Rodrigo César Pedrosa; MANGELA NETO, Oriane; et al. Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, Amsterdam, v. 23, p. 498-508, 2014. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2014.06.005 > DOI: 10.1016/j.asoc.2014.06.005.
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      Prado, R. S., Silva, R. C. P., Mangela Neto, O., Guimarães, F. G., Sanches, D. S., London Junior, J. B. A., & Delbem, A. C. B. (2014). Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, 23, 498-508. doi:10.1016/j.asoc.2014.06.005
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      Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.Available from: http://dx.doi.org/10.1016/j.asoc.2014.06.005
    • Vancouver

      Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.Available from: http://dx.doi.org/10.1016/j.asoc.2014.06.005
  • Source: Applied Soft Computing. Unidade: ICMC

    Subject: OTIMIZAÇÃO

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      TOLEDO, Claudio Fabiano Motta; ARANTES, Márcio da Silva; OLIVEIRA, Renato Resende Ribeiro de; ALMADA-LOBO, Bernardo. Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, Amsterdam, v. 13, n. 3, p. 1352\20131364, 2013. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2012.03.074 > DOI: 10.1016/j.asoc.2012.03.074.
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      Toledo, C. F. M., Arantes, M. da S., Oliveira, R. R. R. de, & Almada-Lobo, B. (2013). Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, 13( 3), 1352\20131364. doi:10.1016/j.asoc.2012.03.074
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      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.Available from: http://dx.doi.org/10.1016/j.asoc.2012.03.074
    • Vancouver

      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.Available from: http://dx.doi.org/10.1016/j.asoc.2012.03.074
  • Source: Applied Soft Computing. Unidade: ICMC

    Subject: INTELIGÊNCIA ARTIFICIAL

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      NALDI, Murilo Coelho; CAMPELLO, Ricardo José Gabrielli Barreto; HRUSCHKA, Eduardo Raul; CARVALHO, André Carlos Ponce de Leon Ferreira. Efficiency issues of evolutionary k-means. Applied Soft Computing, Amsterdam, v. 11, n. 2, p. 1938-1952, 2011. Disponível em: < http://dx.doi.org/10.1016/j.asoc.2010.06.010 > DOI: 10.1016/j.asoc.2010.06.010.
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      Naldi, M. C., Campello, R. J. G. B., Hruschka, E. R., & Carvalho, A. C. P. de L. F. (2011). Efficiency issues of evolutionary k-means. Applied Soft Computing, 11( 2), 1938-1952. doi:10.1016/j.asoc.2010.06.010
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      Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.Available from: http://dx.doi.org/10.1016/j.asoc.2010.06.010
    • Vancouver

      Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.Available from: http://dx.doi.org/10.1016/j.asoc.2010.06.010

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