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  • In: Information Sciences. Unidades: FMRP, ICMC, INTER: ICMC -UFSCAR

    Subjects: Análise De Dados, Análise De Séries Temporais, Eletroencefalografia

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      NASCIMENTO, Diego Carvalho; PIMENTEL, Bruno Almeida; SOUZA, Renata; et al. Dynamic time series smoothing for symbolic interval data applied to neuroscience. Information Sciences, Philadelphia, Elsevier, v. 517, p. 415-426, 2020. Disponível em: < https://doi.org/10.1016/j.ins.2019.12.026 > DOI: 10.1016/j.ins.2019.12.026.
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      Nascimento, D. C., Pimentel, B. A., Souza, R., Leite, J. P., Edwards, D. J., Pontelli, T. E. G. dos S., & Louzada Neto, F. (2020). Dynamic time series smoothing for symbolic interval data applied to neuroscience. Information Sciences, 517, 415-426. doi:10.1016/j.ins.2019.12.026
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      Nascimento DC, Pimentel BA, Souza R, Leite JP, Edwards DJ, Pontelli TEG dos S, Louzada Neto F. Dynamic time series smoothing for symbolic interval data applied to neuroscience [Internet]. Information Sciences. 2020 ;517 415-426.Available from: https://doi.org/10.1016/j.ins.2019.12.026
    • Vancouver

      Nascimento DC, Pimentel BA, Souza R, Leite JP, Edwards DJ, Pontelli TEG dos S, Louzada Neto F. Dynamic time series smoothing for symbolic interval data applied to neuroscience [Internet]. Information Sciences. 2020 ;517 415-426.Available from: https://doi.org/10.1016/j.ins.2019.12.026
  • In: Information Sciences. Unidades: IFSC, ICMC

    Subjects: Reconhecimento De Padrões, Redes Complexas

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      RIBAS, Lucas Correia; MACHICAO, Jeaneth; BRUNO, Odemir Martinez. Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, Philadelphia, Elsevier, v. 55, p. 156-168, 2020. Disponível em: < http://dx.doi.org/10.1016/j.ins.2019.09.063 > DOI: 10.1016/j.ins.2019.09.063.
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      Ribas, L. C., Machicao, J., & Bruno, O. M. (2020). Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, 55, 156-168. doi:10.1016/j.ins.2019.09.063
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      Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.Available from: http://dx.doi.org/10.1016/j.ins.2019.09.063
    • Vancouver

      Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.Available from: http://dx.doi.org/10.1016/j.ins.2019.09.063
  • In: Information Sciences. Unidades: IFSC, ICMC

    Subjects: Reconhecimento De Imagem, Processamento De Imagens, Redes Complexas

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      SCABINI, Leonardo Felipe dos Santos; RIBAS, Lucas Correia; BRUNO, Odemir Martinez. Spatio-spectral networks for color-texture analysis. Information Sciences, New York, Elsevier, v. 515, p. 64-79, 2020. Disponível em: < https://doi.org/10.1016/j.ins.2019.11.042 > DOI: 10.1016/j.ins.2019.11.042.
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      Scabini, L. F. dos S., Ribas, L. C., & Bruno, O. M. (2020). Spatio-spectral networks for color-texture analysis. Information Sciences, 515, 64-79. doi:10.1016/j.ins.2019.11.042
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      Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.Available from: https://doi.org/10.1016/j.ins.2019.11.042
    • Vancouver

      Scabini LF dos S, Ribas LC, Bruno OM. Spatio-spectral networks for color-texture analysis [Internet]. Information Sciences. 2020 ; 515 64-79.Available from: https://doi.org/10.1016/j.ins.2019.11.042
  • In: Information Sciences. Unidade: ICMC

    Subjects: Aprendizado Computacional, Reconhecimento De Padrões, Métodos Estatísticos Para Aprendizagem

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      MANTOVANI, Rafael G; ROSSI, André Luis Debiaso; ALCOBAÇA, Edesio; VANSCHOREN, Joaquin; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, New York, Elsevier, v. 501, p. 193-221, 2019. Disponível em: < http://dx.doi.org/10.1016/j.ins.2019.06.005 > DOI: 10.1016/j.ins.2019.06.005.
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      Mantovani, R. G., Rossi, A. L. D., Alcobaça, E., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2019). A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, 501, 193-221. doi:10.1016/j.ins.2019.06.005
    • NLM

      Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.Available from: http://dx.doi.org/10.1016/j.ins.2019.06.005
    • Vancouver

      Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.Available from: http://dx.doi.org/10.1016/j.ins.2019.06.005
  • In: Information Sciences. Unidade: ICMC

    Subjects: Aprendizado Computacional, Reconhecimento De Padrões

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      PIMENTEL, Bruno Almeida; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, New York, Elsevier, v. 477, p. 203-219, 2019. Disponível em: < http://dx.doi.org/10.1016/j.ins.2018.10.043 > DOI: 10.1016/j.ins.2018.10.043.
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      Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2019). A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, 477, 203-219. doi:10.1016/j.ins.2018.10.043
    • NLM

      Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.Available from: http://dx.doi.org/10.1016/j.ins.2018.10.043
    • Vancouver

      Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.Available from: http://dx.doi.org/10.1016/j.ins.2018.10.043
  • In: Information Sciences. Unidade: ICMC

    Subjects: Aprendizado Computacional, Análise De Séries Temporais, Mineração De Dados

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      PARMEZAN, Antonio Rafael Sabino; SOUZA, Vinícius M. A; BATISTA, Gustavo Enrique de Almeida Prado Alves. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model. Information Sciences, New York, Elsevier, v. 484, p. 302-337, 2019. Disponível em: < http://dx.doi.org/10.1016/j.ins.2019.01.076 > DOI: 10.1016/j.ins.2019.01.076.
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      Parmezan, A. R. S., Souza, V. M. A., & Batista, G. E. de A. P. A. (2019). Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model. Information Sciences, 484, 302-337. doi:10.1016/j.ins.2019.01.076
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      Parmezan ARS, Souza VMA, Batista GE de APA. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model [Internet]. Information Sciences. 2019 ; 484 302-337.Available from: http://dx.doi.org/10.1016/j.ins.2019.01.076
    • Vancouver

      Parmezan ARS, Souza VMA, Batista GE de APA. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model [Internet]. Information Sciences. 2019 ; 484 302-337.Available from: http://dx.doi.org/10.1016/j.ins.2019.01.076
  • In: Information Sciences. Unidade: ICMC

    Subjects: Aprendizado Computacional, Algoritmos Genéticos, Reconhecimento De Padrões

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      FERNANDES, Everlandio Rebouças Queiroz; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, New York, Elsevier, v. 494, p. 141-154, 2019. Disponível em: < http://dx.doi.org/10.1016/j.ins.2019.04.052 > DOI: 10.1016/j.ins.2019.04.052.
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      Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
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      Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.Available from: http://dx.doi.org/10.1016/j.ins.2019.04.052
    • Vancouver

      Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.Available from: http://dx.doi.org/10.1016/j.ins.2019.04.052
  • In: Information Sciences. Unidade: ICMC

    Subjects: Processamento De Linguagem Natural, Redes Complexas, Reconhecimento De Texto

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      CORRÊA JUNIOR, Edilson A; LOPES, Alneu de Andrade; AMANCIO, Diego Raphael. Word sense disambiguation: a complex network approach. Information Sciences, New York, Elsevier, v. 442-443, p. 103-113, 2018. Disponível em: < http://dx.doi.org/10.1016/j.ins.2018.02.047 > DOI: 10.1016/j.ins.2018.02.047.
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      Corrêa Junior, E. A., Lopes, A. de A., & Amancio, D. R. (2018). Word sense disambiguation: a complex network approach. Information Sciences, 442-443, 103-113. doi:10.1016/j.ins.2018.02.047
    • NLM

      Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.Available from: http://dx.doi.org/10.1016/j.ins.2018.02.047
    • Vancouver

      Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.Available from: http://dx.doi.org/10.1016/j.ins.2018.02.047
  • In: Information Sciences. Unidade: ICMC

    Subjects: Aprendizado Computacional, Reconhecimento De Padrões, Algoritmos

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      CUNHA, Tiago; SOARES, Carlos; CARVALHO, Andre Carlos Ponce de Leon Ferreira de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, New York, Elsevier, v. 423, n. Ja 2018, p. 128-144, 2018. Disponível em: < http://dx.doi.org/10.1016/j.ins.2017.09.050 > DOI: 10.1016/j.ins.2017.09.050.
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      Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, 423( Ja 2018), 128-144. doi:10.1016/j.ins.2017.09.050
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      Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.Available from: http://dx.doi.org/10.1016/j.ins.2017.09.050
    • Vancouver

      Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.Available from: http://dx.doi.org/10.1016/j.ins.2017.09.050
  • In: Information Sciences. Unidade: ICMC

    Subjects: Banco De Dados, Computação Gráfica, Reconhecimento De Padrões, Web 2.0, Difamação

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      GIMENES, Gabriel; CORDEIRO, Robson Leonardo Ferreira; RODRIGUES JUNIOR, José Fernando. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation. Information Sciences, New York, Elsevier, v. 379, p. 274-287, 2017. Disponível em: < http://dx.doi.org/10.1016/j.ins.2016.09.006 > DOI: 10.1016/j.ins.2016.09.006.
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      Gimenes, G., Cordeiro, R. L. F., & Rodrigues Junior, J. F. (2017). ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation. Information Sciences, 379, 274-287. doi:10.1016/j.ins.2016.09.006
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      Gimenes G, Cordeiro RLF, Rodrigues Junior JF. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation [Internet]. Information Sciences. 2017 ; 379 274-287.Available from: http://dx.doi.org/10.1016/j.ins.2016.09.006
    • Vancouver

      Gimenes G, Cordeiro RLF, Rodrigues Junior JF. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation [Internet]. Information Sciences. 2017 ; 379 274-287.Available from: http://dx.doi.org/10.1016/j.ins.2016.09.006
  • In: Information Sciences. Unidades: IFSC, ICMC

    Subjects: Reconhecimento De Padrões, Fractais, Processamento De Imagens, Redes Complexas

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      ARRUDA, Henrique F.; SILVA, Filipi N.; COSTA, Luciano da Fontoura; AMANCIO, Diego Raphael. Knowledge acquisition: a complex networks approach. Information Sciences, Philadelphia, Elsevier, v. 421, p. 154-166, 2017. Disponível em: < http://dx.doi.org/10.1016/j.ins.2017.08.091 > DOI: 10.1016/j.ins.2017.08.091.
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      Arruda, H. F., Silva, F. N., Costa, L. da F., & Amancio, D. R. (2017). Knowledge acquisition: a complex networks approach. Information Sciences, 421, 154-166. doi:10.1016/j.ins.2017.08.091
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      Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.Available from: http://dx.doi.org/10.1016/j.ins.2017.08.091
    • Vancouver

      Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.Available from: http://dx.doi.org/10.1016/j.ins.2017.08.091
  • In: Information Sciences. Unidade: ICMC

    Subjects: Inteligência Artificial, Fuzzy (inteligência Artificial)

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      CINTRA, M. E; CAMARGO, H. A; MONARD, Maria Carolina. Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, New York, Elsevier, v. 349-350, p. 199-215, 2016. Disponível em: < http://dx.doi.org/10.1016/j.ins.2016.02.026 > DOI: 10.1016/j.ins.2016.02.026.
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      Cintra, M. E., Camargo, H. A., & Monard, M. C. (2016). Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, 349-350, 199-215. doi:10.1016/j.ins.2016.02.026
    • NLM

      Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.Available from: http://dx.doi.org/10.1016/j.ins.2016.02.026
    • Vancouver

      Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.Available from: http://dx.doi.org/10.1016/j.ins.2016.02.026
  • In: Information Sciences. Unidades: ICMC, IFSC

    Subjects: Redes Complexas, Teoria Dos Grafos, Probabilidade, Simetria, Medidas

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      SILVA, Filipi N; COMIN, César H; PERON, Thomas K. DM; et al. Concentric network symmetry. Information Sciences, Philadelphia, Elsevier, v. 333, p. 61-80, 2016. Disponível em: < http://dx.doi.org/10.1016/j.ins.2015.11.014 > DOI: 10.1016/j.ins.2015.11.014.
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      Silva, F. N., Comin, C. H., Peron, T. K. D. M., Rodrigues, F. A., Ye, C., Wilson, R. C., et al. (2016). Concentric network symmetry. Information Sciences, 333, 61-80. doi:10.1016/j.ins.2015.11.014
    • NLM

      Silva FN, Comin CH, Peron TKDM, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.Available from: http://dx.doi.org/10.1016/j.ins.2015.11.014
    • Vancouver

      Silva FN, Comin CH, Peron TKDM, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.Available from: http://dx.doi.org/10.1016/j.ins.2015.11.014
  • In: Information Sciences. Unidade: ICMC

    Subjects: Inteligência Artificial, Aprendizado Computacional, Mídias Sociais

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      SILVA, Nádia Felix Felipe da; COLETTA, Luiz F. S; HRUSCHKA, Eduardo Raul; HRUSCHKA JUNIOR, Estevam R. Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, New York, Elsevier, v. 355, p. 348-365, 2016. Disponível em: < http://dx.doi.org/10.1016/j.ins.2016.02.002 > DOI: 10.1016/j.ins.2016.02.002.
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      Silva, N. F. F. da, Coletta, L. F. S., Hruschka, E. R., & Hruschka Junior, E. R. (2016). Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, 355, 348-365. doi:10.1016/j.ins.2016.02.002
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      Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.Available from: http://dx.doi.org/10.1016/j.ins.2016.02.002
    • Vancouver

      Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.Available from: http://dx.doi.org/10.1016/j.ins.2016.02.002
  • In: Information Sciences. Unidade: ICMC

    Subjects: Banco De Dados, Computação Gráfica, Processamento De Imagens

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      TEKLI, Joe; CHBEIR, Richard; TRAINA, Agma Juci Machado; TRAINA JÚNIOR, Caetano; FILETO, Renato. Approximate XML structure validation based on document-grammar tree similarity. Information Sciences, New York, Elsevier, v. fe 2015, p. 258-302, 2015. Disponível em: < http://dx.doi.org/10.1016/j.ins.2014.09.044 > DOI: 10.1016/j.ins.2014.09.044.
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      Tekli, J., Chbeir, R., Traina, A. J. M., Traina Júnior, C., & Fileto, R. (2015). Approximate XML structure validation based on document-grammar tree similarity. Information Sciences, fe 2015, 258-302. doi:10.1016/j.ins.2014.09.044
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      Tekli J, Chbeir R, Traina AJM, Traina Júnior C, Fileto R. Approximate XML structure validation based on document-grammar tree similarity [Internet]. Information Sciences. 2015 ; fe 2015 258-302.Available from: http://dx.doi.org/10.1016/j.ins.2014.09.044
    • Vancouver

      Tekli J, Chbeir R, Traina AJM, Traina Júnior C, Fileto R. Approximate XML structure validation based on document-grammar tree similarity [Internet]. Information Sciences. 2015 ; fe 2015 258-302.Available from: http://dx.doi.org/10.1016/j.ins.2014.09.044
  • In: Information Sciences. Unidade: ICMC

    Subjects: Inteligência Artificial

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      BASGALUPP, Márcio P; BARROS, Rodrigo C; CARVALHO, André Carlos Ponce de Leon Ferreira de; FREITAS, Alex A. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Information Sciences, New York, Elsevier, v. fe 2014, p. 160-181, 2014. Disponível em: < http://dx.doi.org/10.1016/j.ins.2013.07.025 > DOI: 10.1016/j.ins.2013.07.025.
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      Basgalupp, M. P., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2014). Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Information Sciences, fe 2014, 160-181. doi:10.1016/j.ins.2013.07.025
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      Basgalupp MP, Barros RC, Carvalho ACP de LF de, Freitas AA. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation [Internet]. Information Sciences. 2014 ; fe 2014 160-181.Available from: http://dx.doi.org/10.1016/j.ins.2013.07.025
    • Vancouver

      Basgalupp MP, Barros RC, Carvalho ACP de LF de, Freitas AA. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation [Internet]. Information Sciences. 2014 ; fe 2014 160-181.Available from: http://dx.doi.org/10.1016/j.ins.2013.07.025
  • In: Information Sciences. Unidade: ICMC

    Subjects: Banco De Dados, Computação Gráfica, Processamento De Imagens

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      CORDEIRO, Robson Leonardo Ferreira; GUO, Fan; HAVERKAMP, Donna S; et al. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases. Information Sciences, New York, Elsevier, v. 264, p. 211-229, 2014. Disponível em: < http://dx.doi.org/10.1016/j.ins.2013.11.013 > DOI: 10.1016/j.ins.2013.11.013.
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      Cordeiro, R. L. F., Guo, F., Haverkamp, D. S., Horne, J. H., Hughes, E. K., Kim, G., et al. (2014). QuMinS: fast and scalable querying, mining and summarizing multi-modal databases. Information Sciences, 264, 211-229. doi:10.1016/j.ins.2013.11.013
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      Cordeiro RLF, Guo F, Haverkamp DS, Horne JH, Hughes EK, Kim G, Romani LAS, Coltri PP, Souza TT, Traina AJM, Traina Júnior C, Faloutsos C. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases [Internet]. Information Sciences. 2014 ; 264 211-229.Available from: http://dx.doi.org/10.1016/j.ins.2013.11.013
    • Vancouver

      Cordeiro RLF, Guo F, Haverkamp DS, Horne JH, Hughes EK, Kim G, Romani LAS, Coltri PP, Souza TT, Traina AJM, Traina Júnior C, Faloutsos C. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases [Internet]. Information Sciences. 2014 ; 264 211-229.Available from: http://dx.doi.org/10.1016/j.ins.2013.11.013
  • In: Information Sciences. Unidade: ICMC

    Subjects: Inteligência Artificial, Computação Gráfica, Processamento De Imagens

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      SILVA, Thiago Christiano; LIANG, Zhao. Uncovering overlapping cluster structures via stochastic competitive learning. Information Sciences, New York, Elsevier, v. 247, p. 40-61, 2013. Disponível em: < http://dx.doi.org/10.1016/j.ins.2013.06.024 > DOI: 10.1016/j.ins.2013.06.024.
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      Silva, T. C., & Liang, Z. (2013). Uncovering overlapping cluster structures via stochastic competitive learning. Information Sciences, 247, 40-61. doi:10.1016/j.ins.2013.06.024
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      Silva TC, Liang Z. Uncovering overlapping cluster structures via stochastic competitive learning [Internet]. Information Sciences. 2013 ; 247 40-61.Available from: http://dx.doi.org/10.1016/j.ins.2013.06.024
    • Vancouver

      Silva TC, Liang Z. Uncovering overlapping cluster structures via stochastic competitive learning [Internet]. Information Sciences. 2013 ; 247 40-61.Available from: http://dx.doi.org/10.1016/j.ins.2013.06.024
  • In: Information Sciences. Unidade: ICMC

    Subjects: Inteligência Artificial, Computação Gráfica, Processamento De Imagens

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    • ABNT

      BERTINI JR, João R; LIANG, Zhao; LOPES, Alneu de Andrade. An incremental learning algorithm based on the k-associated graph for non-stationary data classification. Information Sciences, New York, Elsevier, v. 246, p. 52-68, 2013. Disponível em: < http://dx.doi.org/10.1016/j.ins.2013.05.016 > DOI: 10.1016/j.ins.2013.05.016.
    • APA

      Bertini Jr, J. R., Liang, Z., & Lopes, A. de A. (2013). An incremental learning algorithm based on the k-associated graph for non-stationary data classification. Information Sciences, 246, 52-68. doi:10.1016/j.ins.2013.05.016
    • NLM

      Bertini Jr JR, Liang Z, Lopes A de A. An incremental learning algorithm based on the k-associated graph for non-stationary data classification [Internet]. Information Sciences. 2013 ; 246 52-68.Available from: http://dx.doi.org/10.1016/j.ins.2013.05.016
    • Vancouver

      Bertini Jr JR, Liang Z, Lopes A de A. An incremental learning algorithm based on the k-associated graph for non-stationary data classification [Internet]. Information Sciences. 2013 ; 246 52-68.Available from: http://dx.doi.org/10.1016/j.ins.2013.05.016
  • In: Information Sciences. Unidade: ICMC

    Subjects: Sistemas Embutidos, Computação Evolutiva, Robótica

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

      MELO, Vinícius Veloso de; DELBEM, Alexandre Claudio Botazzo. Investigating smart sampling as a population initialization method for differential evolution in continuous problems. Information Sciences, Amsterdam, Elsevier, v. 193, p. 36-53, 2012. Disponível em: < http://dx.doi.org/10.1016/j.ins.2011.12.037 > DOI: 10.1016/j.ins.2011.12.037.
    • APA

      Melo, V. V. de, & Delbem, A. C. B. (2012). Investigating smart sampling as a population initialization method for differential evolution in continuous problems. Information Sciences, 193, 36-53. doi:10.1016/j.ins.2011.12.037
    • NLM

      Melo VV de, Delbem ACB. Investigating smart sampling as a population initialization method for differential evolution in continuous problems [Internet]. Information Sciences. 2012 ; 193 36-53.Available from: http://dx.doi.org/10.1016/j.ins.2011.12.037
    • Vancouver

      Melo VV de, Delbem ACB. Investigating smart sampling as a population initialization method for differential evolution in continuous problems [Internet]. Information Sciences. 2012 ; 193 36-53.Available from: http://dx.doi.org/10.1016/j.ins.2011.12.037


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