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Filtros : "Indexado no Computer Abstracts" "INTELIGÊNCIA ARTIFICIAL" Removido: "Applied Intelligence" Limpar

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  • Artigo de periodico

    An approach to supporting incremental visual data classification (2015)

    Paiva, José Gustavo S; Schwartz, William Robson; Pedrini, Hélio; Minghim, Rosane

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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      PAIVA, José Gustavo S et al. An approach to supporting incremental visual data classification. IEEE Transactions on Visualization and Computer Graphics, v. 21, n. ja 2015, p. 4-17, 2015Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2014.2331979. Acesso em: 25 set. 2024.

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      Paiva, J. G. S., Schwartz, W. R., Pedrini, H., & Minghim, R. (2015). An approach to supporting incremental visual data classification. IEEE Transactions on Visualization and Computer Graphics, 21( ja 2015), 4-17. doi:10.1109/TVCG.2014.2331979

    • NLM

      Paiva JGS, Schwartz WR, Pedrini H, Minghim R. An approach to supporting incremental visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 4-17.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/TVCG.2014.2331979

    • Vancouver

      Paiva JGS, Schwartz WR, Pedrini H, Minghim R. An approach to supporting incremental visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 4-17.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/TVCG.2014.2331979

  • Artigo de periodico

    Perception-based evaluation of projection methods for multidimensional data visualization (2015)

    Etemadpour, Ronak; Motta, Robson; Paiva, José Gustavo de Souza; Minghim, Rosane ; Oliveira, Maria Cristina Ferreira de ; Linsen, Lars

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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      ETEMADPOUR, Ronak et al. Perception-based evaluation of projection methods for multidimensional data visualization. IEEE Transactions on Visualization and Computer Graphics, v. 21, n. ja 2015, p. 81-94, 2015Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2014.2330617. Acesso em: 25 set. 2024.

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      Etemadpour, R., Motta, R., Paiva, J. G. de S., Minghim, R., Oliveira, M. C. F. de, & Linsen, L. (2015). Perception-based evaluation of projection methods for multidimensional data visualization. IEEE Transactions on Visualization and Computer Graphics, 21( ja 2015), 81-94. doi:10.1109/TVCG.2014.2330617

    • NLM

      Etemadpour R, Motta R, Paiva JG de S, Minghim R, Oliveira MCF de, Linsen L. Perception-based evaluation of projection methods for multidimensional data visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 81-94.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/TVCG.2014.2330617

    • Vancouver

      Etemadpour R, Motta R, Paiva JG de S, Minghim R, Oliveira MCF de, Linsen L. Perception-based evaluation of projection methods for multidimensional data visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 81-94.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/TVCG.2014.2330617

  • Trabalho de evento-anais periodico

    Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons (2014)

    Liang, Xiaoming; Liang, Zhao

    Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      LIANG, Xiaoming e LIANG, Zhao. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.06.041. Acesso em: 25 set. 2024. , 2014

    • APA

      Liang, X., & Liang, Z. (2014). Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.06.041

    • NLM

      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041

    • Vancouver

      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041

  • Trabalho de evento-anais periodico

    A semi-supervised classification technique based on interacting forces (2014)

    Cupertino, Thiago H; Gueleri, Roberto; Liang, Zhao

    Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      CUPERTINO, Thiago H e GUELERI, Roberto e LIANG, Zhao. A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.05.050. Acesso em: 25 set. 2024. , 2014

    • APA

      Cupertino, T. H., Gueleri, R., & Liang, Z. (2014). A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.05.050

    • NLM

      Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050

    • Vancouver

      Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050

  • Artigo de periodico

    Data clustering using controlled consensus in complex networks (2013)

    Cupertino, Thiago H; Huertas, Jean; Liang, Zhao

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      CUPERTINO, Thiago H e HUERTAS, Jean e LIANG, Zhao. Data clustering using controlled consensus in complex networks. Neurocomputing, v. 118, p. 132-140, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2013.02.026. Acesso em: 25 set. 2024.

    • APA

      Cupertino, T. H., Huertas, J., & Liang, Z. (2013). Data clustering using controlled consensus in complex networks. Neurocomputing, 118, 132-140. doi:10.1016/j.neucom.2013.02.026

    • NLM

      Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026

    • Vancouver

      Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026

  • Artigo de periodico

    Semi-supervised learning guided by the modularity measure in complex networks (2012)

    Silva, Thiago C; Liang, Zhao

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago C e LIANG, Zhao. Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, v. fe 2012, n. 1, p. 30-37, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2011.04.042. Acesso em: 25 set. 2024.

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      Silva, T. C., & Liang, Z. (2012). Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, fe 2012( 1), 30-37. doi:10.1016/j.neucom.2011.04.042

    • NLM

      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042

    • Vancouver

      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042

  • Artigo de periodico

    A network of integrate and fire neurons for visual selection (2009)

    Quiles, Marcos Gonçalves; Liang Zhao; Breve, Fabricio A.; Romero, Roseli Aparecida Francelin

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      QUILES, Marcos Gonçalves et al. A network of integrate and fire neurons for visual selection. Neurocomputing, v. 72, n. 10-12, p. 2198-2208, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2008.10.024. Acesso em: 25 set. 2024.

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      Quiles, M. G., Liang Zhao,, Breve, F. A., & Romero, R. A. F. (2009). A network of integrate and fire neurons for visual selection. Neurocomputing, 72( 10-12), 2198-2208. doi:10.1016/j.neucom.2008.10.024

    • NLM

      Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024

    • Vancouver

      Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024

  • Artigo de periodico

    Design of associative memories using cellular neural networks (2009)

    Delbem, Alexandre Cláudio Botazzo ; Corrêa, Leonardo Garcia; Zhao, Liang

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      DELBEM, Alexandre Cláudio Botazzo e CORRÊA, Leonardo Garcia e ZHAO, Liang. Design of associative memories using cellular neural networks. Neurocomputing, v. 72, n. 10-12, p. 2180-2188, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2008.06.029. Acesso em: 25 set. 2024.

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      Delbem, A. C. B., Corrêa, L. G., & Zhao, L. (2009). Design of associative memories using cellular neural networks. Neurocomputing, 72( 10-12), 2180-2188. doi:10.1016/j.neucom.2008.06.029

    • NLM

      Delbem ACB, Corrêa LG, Zhao L. Design of associative memories using cellular neural networks [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2180-2188.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2008.06.029

    • Vancouver

      Delbem ACB, Corrêa LG, Zhao L. Design of associative memories using cellular neural networks [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2180-2188.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2008.06.029

  • Artigo de periodico

    Improvements on ICA mixture models for image pre-processing and segmentation (2008)

    Oliveira, Patrícia Rufino; Romero, Roseli Aparecida Francelin

    Source: Neurocomputing. Unidades: EACH, ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      OLIVEIRA, Patrícia Rufino e ROMERO, Roseli Aparecida Francelin. Improvements on ICA mixture models for image pre-processing and segmentation. Neurocomputing, v. 71, n. 10-12, p. 2180-2193, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2007.10.016. Acesso em: 25 set. 2024.

    • APA

      Oliveira, P. R., & Romero, R. A. F. (2008). Improvements on ICA mixture models for image pre-processing and segmentation. Neurocomputing, 71( 10-12), 2180-2193. doi:10.1016/j.neucom.2007.10.016

    • NLM

      Oliveira PR, Romero RAF. Improvements on ICA mixture models for image pre-processing and segmentation [Internet]. Neurocomputing. 2008 ; 71( 10-12): 2180-2193.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2007.10.016

    • Vancouver

      Oliveira PR, Romero RAF. Improvements on ICA mixture models for image pre-processing and segmentation [Internet]. Neurocomputing. 2008 ; 71( 10-12): 2180-2193.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.neucom.2007.10.016

  • Artigo de periodico

    SABio: a biologically plausible connectionist approach to automatic text summarization (2008)

    Orru, T.; Rosa, João Luís Garcia ; Andrade Netto, Márcio Luiz de

    Source: Applied Artificial Intelligence. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ORRU, T. e ROSA, João Luís Garcia e ANDRADE NETTO, Márcio Luiz de. SABio: a biologically plausible connectionist approach to automatic text summarization. Applied Artificial Intelligence, v. 22, n. 9, p. 896-920, 2008Tradução . . Disponível em: http://www.informaworld.com/smpp/title~content=g903561308~db=all. Acesso em: 25 set. 2024.

    • APA

      Orru, T., Rosa, J. L. G., & Andrade Netto, M. L. de. (2008). SABio: a biologically plausible connectionist approach to automatic text summarization. Applied Artificial Intelligence, 22( 9), 896-920. Recuperado de http://www.informaworld.com/smpp/title~content=g903561308~db=all

    • NLM

      Orru T, Rosa JLG, Andrade Netto ML de. SABio: a biologically plausible connectionist approach to automatic text summarization [Internet]. Applied Artificial Intelligence. 2008 ; 22( 9): 896-920.[citado 2024 set. 25 ] Available from: http://www.informaworld.com/smpp/title~content=g903561308~db=all

    • Vancouver

      Orru T, Rosa JLG, Andrade Netto ML de. SABio: a biologically plausible connectionist approach to automatic text summarization [Internet]. Applied Artificial Intelligence. 2008 ; 22( 9): 896-920.[citado 2024 set. 25 ] Available from: http://www.informaworld.com/smpp/title~content=g903561308~db=all

  • Artigo de periodico

    A fuzzy extension of the rand index and other related indexes for clustering and classification assessment (2007)

    Campello, Ricardo José Gabrielli Barreto

    Source: Pattern Recognition Letters. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      CAMPELLO, Ricardo José Gabrielli Barreto. A fuzzy extension of the rand index and other related indexes for clustering and classification assessment. Pattern Recognition Letters, v. 28, n. 7, p. 833-841, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2006.11.010. Acesso em: 25 set. 2024.

    • APA

      Campello, R. J. G. B. (2007). A fuzzy extension of the rand index and other related indexes for clustering and classification assessment. Pattern Recognition Letters, 28( 7), 833-841. doi:10.1016/j.patrec.2006.11.010

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      Campello RJGB. A fuzzy extension of the rand index and other related indexes for clustering and classification assessment [Internet]. Pattern Recognition Letters. 2007 ; 28( 7): 833-841.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.patrec.2006.11.010

    • Vancouver

      Campello RJGB. A fuzzy extension of the rand index and other related indexes for clustering and classification assessment [Internet]. Pattern Recognition Letters. 2007 ; 28( 7): 833-841.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.patrec.2006.11.010
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