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Filtros : "Indexado no Current Contents" "Inglaterra" Removidos: "Fonseca, Benedito Antonio Lopes da" "FO/EE/FSP" Limpar

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  • Artigo de periodico

    Towards automatically filtering fake news in Portuguese (2020)

    Silva, Renato M; Santos, Roney Lira de Sales ; Almeida, Tiago A; Pardo, Thiago Alexandre Salgueiro

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, CORPUS, PORTUGUÊS DO BRASIL, NOTÍCIA

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      SILVA, Renato M et al. Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, v. 146, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113199. Acesso em: 20 ago. 2024.

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      Silva, R. M., Santos, R. L. de S., Almeida, T. A., & Pardo, T. A. S. (2020). Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, 146, 1-14. doi:10.1016/j.eswa.2020.113199

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      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199

    • Vancouver

      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199

  • Artigo de periodico

    Boosting collaborative filtering with an ensemble of co-trained recommenders (2019)

    Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES

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      COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, v. 115, n. Ja 2019, p. 427-441, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.020. Acesso em: 20 ago. 2024.

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      Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2019). Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, 115( Ja 2019), 427-441. doi:10.1016/j.eswa.2018.08.020

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      Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020

    • Vancouver

      Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020

  • Artigo de periodico

    On learning guarantees to unsupervised concept drift detection on data streams (2019)

    Mello, Rodrigo Fernandes de; Vaz, Yule; Grossi, Carlos Henrique ; Bifet, Albert

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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      MELLO, Rodrigo Fernandes de et al. On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, v. 117, p. 90-102, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.054. Acesso em: 20 ago. 2024.

    • APA

      Mello, R. F. de, Vaz, Y., Grossi, C. H., & Bifet, A. (2019). On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, 117, 90-102. doi:10.1016/j.eswa.2018.08.054

    • NLM

      Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054

    • Vancouver

      Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054

  • Artigo de periodico

    Combining semantic and term frequency similarities for text clustering (2019)

    Soares, Victor Hugo Andrade ; Campello, Ricardo José Gabrielli Barreto ; Nourashrafeddin, Seyednaser ; Milios, Evangelos ; Naldi, Murilo Coelho

    Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, DESCOBERTA DE CONHECIMENTO

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      SOARES, Victor Hugo Andrade et al. Combining semantic and term frequency similarities for text clustering. Knowledge and Information Systems, v. 61, n. 3, p. 1485-1516, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10115-018-1278-7. Acesso em: 20 ago. 2024.

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      Soares, V. H. A., Campello, R. J. G. B., Nourashrafeddin, S., Milios, E., & Naldi, M. C. (2019). Combining semantic and term frequency similarities for text clustering. Knowledge and Information Systems, 61( 3), 1485-1516. doi:10.1007/s10115-018-1278-7

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      Soares VHA, Campello RJGB, Nourashrafeddin S, Milios E, Naldi MC. Combining semantic and term frequency similarities for text clustering [Internet]. Knowledge and Information Systems. 2019 ; 61( 3): 1485-1516.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1007/s10115-018-1278-7

    • Vancouver

      Soares VHA, Campello RJGB, Nourashrafeddin S, Milios E, Naldi MC. Combining semantic and term frequency similarities for text clustering [Internet]. Knowledge and Information Systems. 2019 ; 61( 3): 1485-1516.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1007/s10115-018-1278-7

  • Artigo de periodico

    A multi-process pilot plant as a didactical tool for the teaching of industrial processes control in electrical engineering course (2019)

    Alves, Luiz F.; Brandão, Dennis; Oliveira, Marcelo A.

    Source: International Journal of Electrical Engineering. Unidade: EESC

    Subjects: ENGENHARIA ELÉTRICA, APRENDIZAGEM, CONTROLE DE PROCESSOS, ENGENHARIA ELÉTRICA

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      ALVES, Luiz F. e BRANDÃO, Dennis e OLIVEIRA, Marcelo A. A multi-process pilot plant as a didactical tool for the teaching of industrial processes control in electrical engineering course. International Journal of Electrical Engineering, v. 56, n. 1, p. 62-91, 2019Tradução . . Disponível em: https://doi.org/10.1177/0020720918787455. Acesso em: 20 ago. 2024.

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      Alves, L. F., Brandão, D., & Oliveira, M. A. (2019). A multi-process pilot plant as a didactical tool for the teaching of industrial processes control in electrical engineering course. International Journal of Electrical Engineering, 56( 1), 62-91. doi:10.1177/0020720918787455

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      Alves LF, Brandão D, Oliveira MA. A multi-process pilot plant as a didactical tool for the teaching of industrial processes control in electrical engineering course [Internet]. International Journal of Electrical Engineering. 2019 ; 56( 1): 62-91.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1177/0020720918787455

    • Vancouver

      Alves LF, Brandão D, Oliveira MA. A multi-process pilot plant as a didactical tool for the teaching of industrial processes control in electrical engineering course [Internet]. International Journal of Electrical Engineering. 2019 ; 56( 1): 62-91.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1177/0020720918787455

  • Artigo de periodico

    Depression biomarkers using non-invasive EEG: a review (2019)

    Aguiar Neto, Fernando Soares de ; Rosa, João Luís Garcia

    Source: Neuroscience & Biobehavioral Reviews. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS BIOMÉDICOS, TECNOLOGIAS DA SAÚDE, ELETROENCEFALOGRAFIA, DEPRESSÃO

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      AGUIAR NETO, Fernando Soares de e ROSA, João Luís Garcia. Depression biomarkers using non-invasive EEG: a review. Neuroscience & Biobehavioral Reviews, v. 105, p. 83-93, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neubiorev.2019.07.021. Acesso em: 20 ago. 2024.

    • APA

      Aguiar Neto, F. S. de, & Rosa, J. L. G. (2019). Depression biomarkers using non-invasive EEG: a review. Neuroscience & Biobehavioral Reviews, 105, 83-93. doi:10.1016/j.neubiorev.2019.07.021

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      Aguiar Neto FS de, Rosa JLG. Depression biomarkers using non-invasive EEG: a review [Internet]. Neuroscience & Biobehavioral Reviews. 2019 ; 105 83-93.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.neubiorev.2019.07.021

    • Vancouver

      Aguiar Neto FS de, Rosa JLG. Depression biomarkers using non-invasive EEG: a review [Internet]. Neuroscience & Biobehavioral Reviews. 2019 ; 105 83-93.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.neubiorev.2019.07.021

  • Artigo de periodico

    Designing architectures of convolutional neural networks to solve practical problems (2018)

    Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS

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      FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 20 ago. 2024.

    • APA

      Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052

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      Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052

    • Vancouver

      Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052

  • Artigo de periodico

    Latent association rule cluster based model to extract topics for classification and recommendation applications (2018)

    Santos, Fabiano Fernandes dos; Domingues, Marcos Aurélio; Sundermann, Camila Vaccari; Carvalho, Veronica Oliveira de; Moura, Maria Fernanda; Rezende, Solange Oliveira

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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      SANTOS, Fabiano Fernandes dos et al. Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, v. 112, p. 34-60, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.06.021. Acesso em: 20 ago. 2024.

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      Santos, F. F. dos, Domingues, M. A., Sundermann, C. V., Carvalho, V. O. de, Moura, M. F., & Rezende, S. O. (2018). Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, 112, 34-60. doi:10.1016/j.eswa.2018.06.021

    • NLM

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021

    • Vancouver

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021

  • Artigo de periodico

    Multidimensional surrogate stability to detect data stream concept drift (2017)

    Costa, Fausto G. da; Duarte, Felipe S. L. G; Vallim, Rosane M. M; Mello, Rodrigo Fernandes de

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, ANÁLISE DE SÉRIES TEMPORAIS

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      COSTA, Fausto G. da et al. Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, v. No 2017, p. 15-29, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.06.005. Acesso em: 20 ago. 2024.

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      Costa, F. G. da, Duarte, F. S. L. G., Vallim, R. M. M., & Mello, R. F. de. (2017). Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, No 2017, 15-29. doi:10.1016/j.eswa.2017.06.005

    • NLM

      Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005

    • Vancouver

      Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005

  • Artigo de periodico

    Segmentation of large images based on super-pixels and community detection in graphs (2017)

    Linares, Oscar A. C; Botelho, Glenda Michele; Rodrigues, Francisco Aparecido ; Batista Neto, João do Espírito Santo

    Source: IET Image Processing. Unidade: ICMC

    Subjects: RENDERIZAÇÃO, ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL

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      LINARES, Oscar A. C et al. Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, v. 11, n. 12, p. 1219-1228, 2017Tradução . . Disponível em: https://doi.org/10.1049/iet-ipr.2016.0072. Acesso em: 20 ago. 2024.

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      Linares, O. A. C., Botelho, G. M., Rodrigues, F. A., & Batista Neto, J. do E. S. (2017). Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, 11( 12), 1219-1228. doi:10.1049/iet-ipr.2016.0072

    • NLM

      Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072

    • Vancouver

      Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072

  • Artigo de periodico

    A decision cognizant Kullback-Leibler divergence (2017)

    Ponti, Moacir Antonelli ; Kittler, Josef; Riva, Mateus; Campos, Teófilo de; Zor, Cemre

    Source: Pattern Recognition. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES

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      PONTI, Moacir Antonelli et al. A decision cognizant Kullback-Leibler divergence. Pattern Recognition, v. 61, n. Ja 2017, p. 470-478, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2016.08.018. Acesso em: 20 ago. 2024.

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      Ponti, M. A., Kittler, J., Riva, M., Campos, T. de, & Zor, C. (2017). A decision cognizant Kullback-Leibler divergence. Pattern Recognition, 61( Ja 2017), 470-478. doi:10.1016/j.patcog.2016.08.018

    • NLM

      Ponti MA, Kittler J, Riva M, Campos T de, Zor C. A decision cognizant Kullback-Leibler divergence [Internet]. Pattern Recognition. 2017 ; 61( Ja 2017): 470-478.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.patcog.2016.08.018

    • Vancouver

      Ponti MA, Kittler J, Riva M, Campos T de, Zor C. A decision cognizant Kullback-Leibler divergence [Internet]. Pattern Recognition. 2017 ; 61( Ja 2017): 470-478.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.patcog.2016.08.018

  • Artigo de periodico

    Applying a kernel function on time-dependent data to provide supervised-learning guarantees (2017)

    Pagliosa, Lucas de Carvalho; Mello, Rodrigo Fernandes de

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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      PAGLIOSA, Lucas de Carvalho e MELLO, Rodrigo Fernandes de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, v. 71, p. 216-229, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 20 ago. 2024.

    • APA

      Pagliosa, L. de C., & Mello, R. F. de. (2017). Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, 71, 216-229. doi:10.1016/j.eswa.2016.11.028

    • NLM

      Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028

    • Vancouver

      Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028

  • Artigo de periodico

    Opinion summarization methods: comparing and extending extractive and abstractive approaches (2017)

    Condori, Roque Enrique López; Pardo, Thiago Alexandre Salgueiro

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RESUMOS

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      CONDORI, Roque Enrique López e PARDO, Thiago Alexandre Salgueiro. Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, v. 78, p. 124-134, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.02.006. Acesso em: 20 ago. 2024.

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      Condori, R. E. L., & Pardo, T. A. S. (2017). Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, 78, 124-134. doi:10.1016/j.eswa.2017.02.006

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      Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006

    • Vancouver

      Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006

  • Artigo de periodico

    An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)

    Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS

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      SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 20 ago. 2024.

    • APA

      Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020

    • NLM

      Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020

    • Vancouver

      Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020

  • Artigo de periodico

    Intelligent-guided adaptive search for the maximum covering location problem (2017)

    Máximo, Vinícius R; Nascimento, Mariá C. V; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: Computers and Operations Research. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, HEURÍSTICA

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      MÁXIMO, Vinícius R e NASCIMENTO, Mariá C. V e CARVALHO, André Carlos Ponce de Leon Ferreira de. Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, v. 78, p. 129-137, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.08.018. Acesso em: 20 ago. 2024.

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      Máximo, V. R., Nascimento, M. C. V., & Carvalho, A. C. P. de L. F. de. (2017). Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, 78, 129-137. doi:10.1016/j.cor.2016.08.018

    • NLM

      Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018

    • Vancouver

      Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018

  • Artigo de periodico

    Deep learning for biological image classification (2017)

    Affonso, Carlos; Rossi, André Luis Debiaso; Vieira, Fábio Henrique Antunes; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM

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      AFFONSO, Carlos et al. Deep learning for biological image classification. Expert Systems with Applications, v. No 2017, p. 114-122, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.05.039. Acesso em: 20 ago. 2024.

    • APA

      Affonso, C., Rossi, A. L. D., Vieira, F. H. A., & Carvalho, A. C. P. de L. F. de. (2017). Deep learning for biological image classification. Expert Systems with Applications, No 2017, 114-122. doi:10.1016/j.eswa.2017.05.039

    • NLM

      Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039

    • Vancouver

      Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039

  • Artigo de periodico

    Local descriptors for soybean disease recognition (2016)

    Pires, Rillian Diello Lucas; Gonçalves, Diogo Nunes; Oruê, Jonatan Patrick Margarido; Kanashiro, Wesley Eiji Sanches; Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli; Gonçalves, Wesley Nunes

    Source: Computers and Electronics in Agriculture. Unidade: ICMC

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL

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      PIRES, Rillian Diello Lucas et al. Local descriptors for soybean disease recognition. Computers and Electronics in Agriculture, v. 125, p. 48-55, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2016.04.032. Acesso em: 20 ago. 2024.

    • APA

      Pires, R. D. L., Gonçalves, D. N., Oruê, J. P. M., Kanashiro, W. E. S., Rodrigues Junior, J. F., Machado, B. B., & Gonçalves, W. N. (2016). Local descriptors for soybean disease recognition. Computers and Electronics in Agriculture, 125, 48-55. doi:10.1016/j.compag.2016.04.032

    • NLM

      Pires RDL, Gonçalves DN, Oruê JPM, Kanashiro WES, Rodrigues Junior JF, Machado BB, Gonçalves WN. Local descriptors for soybean disease recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 125 48-55.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.compag.2016.04.032

    • Vancouver

      Pires RDL, Gonçalves DN, Oruê JPM, Kanashiro WES, Rodrigues Junior JF, Machado BB, Gonçalves WN. Local descriptors for soybean disease recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 125 48-55.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.compag.2016.04.032

  • Artigo de periodico

    Using dynamical systems tools to detect concept drift in data streams (2016)

    Costa, F. G. da; Rios, R. A; Mello, Rodrigo Fernandes de

    Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS, ANÁLISE DE SÉRIES TEMPORAIS

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      COSTA, F. G. da e RIOS, R. A e MELLO, Rodrigo Fernandes de. Using dynamical systems tools to detect concept drift in data streams. Expert Systems with Applications, v. 60, p. 39-50, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.026. Acesso em: 20 ago. 2024.

    • APA

      Costa, F. G. da, Rios, R. A., & Mello, R. F. de. (2016). Using dynamical systems tools to detect concept drift in data streams. Expert Systems with Applications, 60, 39-50. doi:10.1016/j.eswa.2016.04.026

    • NLM

      Costa FG da, Rios RA, Mello RF de. Using dynamical systems tools to detect concept drift in data streams [Internet]. Expert Systems with Applications. 2016 ; 60 39-50.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.026

    • Vancouver

      Costa FG da, Rios RA, Mello RF de. Using dynamical systems tools to detect concept drift in data streams [Internet]. Expert Systems with Applications. 2016 ; 60 39-50.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.026

  • Artigo de periodico

    NOS1 and SNAP25 polymorphisms are associated with Attention-Deficit/Hyperactivity Disorder symptoms in adults but not in children (2016)

    Salatino-Oliveira, Angélica; Akutagava-Martins, Glaucia C.; Bruxel, Estela M.; Genro, Julia P.; Polanczyk, Guilherme V.; Zeni, Cristian; Kieling, Christian; Karam, Rafael G.; Rovaris, Diego Luiz ; Contini, Verônica; Cupertino, Renata B.; Mota, Nina R.; Grevet, Eugenio H.; Bau, Claiton H.; Rohde, Luis A.; Hutz, Mara H.

    Source: Journal of Psychiatric Research. Unidade: FM

    Subjects: SINAIS E SINTOMAS, POLIMORFISMO, CRIANÇAS, HIPERATIVIDADE

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    • ABNT

      SALATINO-OLIVEIRA, Angélica et al. NOS1 and SNAP25 polymorphisms are associated with Attention-Deficit/Hyperactivity Disorder symptoms in adults but not in children. Journal of Psychiatric Research, v. 75, p. 75-81, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jpsychires.2015.01.018. Acesso em: 20 ago. 2024.

    • APA

      Salatino-Oliveira, A., Akutagava-Martins, G. C., Bruxel, E. M., Genro, J. P., Polanczyk, G. V., Zeni, C., et al. (2016). NOS1 and SNAP25 polymorphisms are associated with Attention-Deficit/Hyperactivity Disorder symptoms in adults but not in children. Journal of Psychiatric Research, 75, 75-81. doi:10.1016/j.jpsychires.2015.01.018

    • NLM

      Salatino-Oliveira A, Akutagava-Martins GC, Bruxel EM, Genro JP, Polanczyk GV, Zeni C, Kieling C, Karam RG, Rovaris DL, Contini V, Cupertino RB, Mota NR, Grevet EH, Bau CH, Rohde LA, Hutz MH. NOS1 and SNAP25 polymorphisms are associated with Attention-Deficit/Hyperactivity Disorder symptoms in adults but not in children [Internet]. Journal of Psychiatric Research. 2016 ; 75 75-81.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.jpsychires.2015.01.018

    • Vancouver

      Salatino-Oliveira A, Akutagava-Martins GC, Bruxel EM, Genro JP, Polanczyk GV, Zeni C, Kieling C, Karam RG, Rovaris DL, Contini V, Cupertino RB, Mota NR, Grevet EH, Bau CH, Rohde LA, Hutz MH. NOS1 and SNAP25 polymorphisms are associated with Attention-Deficit/Hyperactivity Disorder symptoms in adults but not in children [Internet]. Journal of Psychiatric Research. 2016 ; 75 75-81.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.jpsychires.2015.01.018

  • Artigo de periodico

    Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts (2016)

    Rossi, Rafael Geraldeli; Lopes, Alneu de Andrade ; Rezende, Solange Oliveira

    Source: Information Processing and Management. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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      ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade e REZENDE, Solange Oliveira. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, v. 52, n. 2, p. 217-257, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2015.07.004. Acesso em: 20 ago. 2024.

    • APA

      Rossi, R. G., Lopes, A. de A., & Rezende, S. O. (2016). Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, 52( 2), 217-257. doi:10.1016/j.ipm.2015.07.004

    • NLM

      Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004

    • Vancouver

      Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004

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