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  • Source: IEEE Transactions on Learning Technologies. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO, AMBIENTE ESCOLAR

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      PEREIRA, Filipe Dwan et al. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams. IEEE Transactions on Learning Technologies, v. 16, n. 3, p. 457-472, 2023Tradução . . Disponível em: https://doi.org/10.1109/TLT.2022.3224121. Acesso em: 03 out. 2024.
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      Pereira, F. D., Rodrigues, L. A. L., Henklain, M. H. O., Freitas, H., Oliveira, D. F., Cristea, A. I., et al. (2023). Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams. IEEE Transactions on Learning Technologies, 16( 3), 457-472. doi:10.1109/TLT.2022.3224121
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      Pereira FD, Rodrigues LAL, Henklain MHO, Freitas H, Oliveira DF, Cristea AI, Carvalho LSG, Isotani S, Benedict A, Dorodchi M, Oliveira EHT de. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams [Internet]. IEEE Transactions on Learning Technologies. 2023 ; 16( 3): 457-472.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TLT.2022.3224121
    • Vancouver

      Pereira FD, Rodrigues LAL, Henklain MHO, Freitas H, Oliveira DF, Cristea AI, Carvalho LSG, Isotani S, Benedict A, Dorodchi M, Oliveira EHT de. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams [Internet]. IEEE Transactions on Learning Technologies. 2023 ; 16( 3): 457-472.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TLT.2022.3224121
  • Source: IEEE Access. Unidade: ICMC

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, REVISÃO SISTEMÁTICA

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      SHIGUIHARA PEDRO, e LOPES, Alneu de Andrade e MAURICIO, David. Dynamic bayesian network modeling, learning, and inference: a survey. IEEE Access, v. 9, p. 117639-117648, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3105520. Acesso em: 03 out. 2024.
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      Shiguihara Pedro,, Lopes, A. de A., & Mauricio, D. (2021). Dynamic bayesian network modeling, learning, and inference: a survey. IEEE Access, 9, 117639-117648. doi:10.1109/ACCESS.2021.3105520
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      Shiguihara Pedro, Lopes A de A, Mauricio D. Dynamic bayesian network modeling, learning, and inference: a survey [Internet]. IEEE Access. 2021 ; 9 117639-117648.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105520
    • Vancouver

      Shiguihara Pedro, Lopes A de A, Mauricio D. Dynamic bayesian network modeling, learning, and inference: a survey [Internet]. IEEE Access. 2021 ; 9 117639-117648.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105520
  • Source: Future Generation Computer Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, EDIFÍCIOS RESIDENCIAIS

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      ROCHA FILHO, Geraldo Pereira et al. A fog-enabled smart home solution for decision-making using smart objects. Future Generation Computer Systems, v. 103, p. 18-27, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.future.2019.09.045. Acesso em: 03 out. 2024.
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      Rocha Filho, G. P., Meneguette, R. I., Maia, G., Pessin, G., Gonçalves, V. P., Weigang, L., et al. (2020). A fog-enabled smart home solution for decision-making using smart objects. Future Generation Computer Systems, 103, 18-27. doi:10.1016/j.future.2019.09.045
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      Rocha Filho GP, Meneguette RI, Maia G, Pessin G, Gonçalves VP, Weigang L, Ueyama J, Villas LA. A fog-enabled smart home solution for decision-making using smart objects [Internet]. Future Generation Computer Systems. 2020 ; 103 18-27.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.future.2019.09.045
    • Vancouver

      Rocha Filho GP, Meneguette RI, Maia G, Pessin G, Gonçalves VP, Weigang L, Ueyama J, Villas LA. A fog-enabled smart home solution for decision-making using smart objects [Internet]. Future Generation Computer Systems. 2020 ; 103 18-27.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.future.2019.09.045
  • Source: Neurocomputing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      POLYCARPOU, Marios et al. Special issue HAIS 2014 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2017.09.001. Acesso em: 03 out. 2024. , 2019
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      Polycarpou, M., Carvalho, A. C. P. de L. F. de, Pan, J. -S., Wozniak, M., Quintián, H., & Corchado, E. (2019). Special issue HAIS 2014 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2017.09.001
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      Polycarpou M, Carvalho ACP de LF de, Pan J-S, Wozniak M, Quintián H, Corchado E. Special issue HAIS 2014 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2019 ; 326-327( Ja 2019): 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2017.09.001
    • Vancouver

      Polycarpou M, Carvalho ACP de LF de, Pan J-S, Wozniak M, Quintián H, Corchado E. Special issue HAIS 2014 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2019 ; 326-327( Ja 2019): 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2017.09.001
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, MINERAÇÃO DE DADOS, HEURÍSTICA, ALGORITMOS GENÉTICOS

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      OLIVEIRA, G. V et al. Improving k-means through distributed scalable metaheuristics. Neurocomputing, v. 246, p. 45-57, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.07.074. Acesso em: 03 out. 2024.
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      Oliveira, G. V., Coutinho, F. P., Campello, R. J. G. B., & Naldi, M. C. (2017). Improving k-means through distributed scalable metaheuristics. Neurocomputing, 246, 45-57. doi:10.1016/j.neucom.2016.07.074
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      Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
    • Vancouver

      Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
  • 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: 03 out. 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
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      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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
  • Source: Applied Intelligence. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, MINERAÇÃO DE DADOS, ELETROENCEFALOGRAFIA, EPILEPSIA

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      OLIVA, Jefferson Tales e ROSA, João Luís Garcia. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?. Applied Intelligence, v. 47, n. 1, p. 178-196, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0891-y. Acesso em: 03 out. 2024.
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      Oliva, J. T., & Rosa, J. L. G. (2017). How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? Applied Intelligence, 47( 1), 178-196. doi:10.1007/s10489-016-0891-y
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      Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
    • Vancouver

      Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
  • Source: Neurocomputing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      CORCHADO, Emilio et al. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2015.04.088. Acesso em: 03 out. 2024. , 2016
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      Corchado, E., Quintián, H., Abraham, A., Carvalho, A. C. P. de L. F. de, Wozniak, M., & Sung-Bae, C. (2016). Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2015.04.088
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      Corchado E, Quintián H, Abraham A, Carvalho ACP de LF de, Wozniak M, Sung-Bae C. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial] [Internet]. Neurocomputing. 2016 ; 176 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.088
    • Vancouver

      Corchado E, Quintián H, Abraham A, Carvalho ACP de LF de, Wozniak M, Sung-Bae C. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial] [Internet]. Neurocomputing. 2016 ; 176 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.088
  • Source: BMC Bioinformatics. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES

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      CERRI, Ricardo et al. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, v. 17, p. 1-24, 2016Tradução . . Disponível em: https://doi.org/10.1186/s12859-016-1232-1. Acesso em: 03 out. 2024.
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      Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Jin, Y. (2016). Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17, 1-24. doi:10.1186/s12859-016-1232-1
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      Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
    • Vancouver

      Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
  • Source: Journal of Applied Logic. Conference titles: International Conference on Soft Computing Models in Industrial and Environmental Applications - SOCO. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      HERRERO, Álvaro et al. Special issue SOCO13-JAL [Editorial]. Journal of Applied Logic. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jal.2015.09.003. Acesso em: 03 out. 2024. , 2016
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      Herrero, Á., Baruque, B., Klett, F., Abraham, A., Snásel, V., Carvalho, A. C. P. de L. F. de, et al. (2016). Special issue SOCO13-JAL [Editorial]. Journal of Applied Logic. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.jal.2015.09.003
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      Herrero Á, Baruque B, Klett F, Abraham A, Snásel V, Carvalho ACP de LF de, Bringas PG, Zelinka I, Quintián H, Corchado JM, Corchado E. Special issue SOCO13-JAL [Editorial] [Internet]. Journal of Applied Logic. 2016 ; 17 1-3.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.jal.2015.09.003
    • Vancouver

      Herrero Á, Baruque B, Klett F, Abraham A, Snásel V, Carvalho ACP de LF de, Bringas PG, Zelinka I, Quintián H, Corchado JM, Corchado E. Special issue SOCO13-JAL [Editorial] [Internet]. Journal of Applied Logic. 2016 ; 17 1-3.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.jal.2015.09.003
  • Source: Neurocomputing. Conference titles: International Conference on Hybrid Artificial Intelligent Systems - HAIS. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      QUINTIÁN, Héctor et al. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2015.02.077. Acesso em: 03 out. 2024. , 2015
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      Quintián, H., Corchado, E., Abraham, A., Carvalho, A. C. P. de L. F. de, Wozniak, M., Snásel, V., & Sung-Bae, C. (2015). Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2015.02.077
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      Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077
    • Vancouver

      Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077
  • Source: International Journal of Modelling, Identification and Control - IJMIC. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      OLIVEIRA, Gustavo H. C. et al. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part II: non-linear models. International Journal of Modelling, Identification and Control - IJMIC, v. 16, n. 1, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.1504/ijmic.2012.046691. Acesso em: 03 out. 2024.
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      Oliveira, G. H. C., Rosa, A. da, Campello, R. J. G. B., Machado, J. B., & Amaral, W. C. (2012). An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part II: non-linear models. International Journal of Modelling, Identification and Control - IJMIC, 16( 1), 1-14. doi:10.1504/ijmic.2012.046691
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      Oliveira GHC, Rosa A da, Campello RJGB, Machado JB, Amaral WC. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part II: non-linear models [Internet]. International Journal of Modelling, Identification and Control - IJMIC. 2012 ; 16( 1): 1-14.[citado 2024 out. 03 ] Available from: https://doi.org/10.1504/ijmic.2012.046691
    • Vancouver

      Oliveira GHC, Rosa A da, Campello RJGB, Machado JB, Amaral WC. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part II: non-linear models [Internet]. International Journal of Modelling, Identification and Control - IJMIC. 2012 ; 16( 1): 1-14.[citado 2024 out. 03 ] Available from: https://doi.org/10.1504/ijmic.2012.046691
  • Source: Intelligent Decision Technologies. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SANTOS, Fabiano Fernandes dos e CARVALHO, Veronica Oliveira de e REZENDE, Solange Oliveira. Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, n. 1, p. 43-58, 2012Tradução . . Disponível em: https://doi.org/10.3233/IDT-2012-0121. Acesso em: 03 out. 2024.
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      Santos, F. F. dos, Carvalho, V. O. de, & Rezende, S. O. (2012). Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, ( 1), 43-58. doi:10.3233/IDT-2012-0121
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      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.[citado 2024 out. 03 ] Available from: https://doi.org/10.3233/IDT-2012-0121
    • Vancouver

      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.[citado 2024 out. 03 ] Available from: https://doi.org/10.3233/IDT-2012-0121
  • Source: Europhysics Letters - EPL. Unidades: ICMC, IFSC

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES COMPLEXAS

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      AMANCIO, Diego Raphael et al. Complex networks analysis of language complexity. Europhysics Letters - EPL, v. 100, n. 5, p. 58002-p1-58002-p6, 2012Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/100/58002. Acesso em: 03 out. 2024.
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      Amancio, D. R., Aluísio, S. M., Oliveira Junior, O. N. de, & Costa, L. da F. (2012). Complex networks analysis of language complexity. Europhysics Letters - EPL, 100( 5), 58002-p1-58002-p6. doi:10.1209/0295-5075/100/58002
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      Amancio DR, Aluísio SM, Oliveira Junior ON de, Costa L da F. Complex networks analysis of language complexity [Internet]. Europhysics Letters - EPL. 2012 ; 100( 5): 58002-p1-58002-p6.[citado 2024 out. 03 ] Available from: https://doi.org/10.1209/0295-5075/100/58002
    • Vancouver

      Amancio DR, Aluísio SM, Oliveira Junior ON de, Costa L da F. Complex networks analysis of language complexity [Internet]. Europhysics Letters - EPL. 2012 ; 100( 5): 58002-p1-58002-p6.[citado 2024 out. 03 ] Available from: https://doi.org/10.1209/0295-5075/100/58002
  • Source: International Journal of Modelling, Identification and Control - IJMIC. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      OLIVEIRA, Gustavo H. C. et al. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models. International Journal of Modelling, Identification and Control - IJMIC, v. 14, n. 1/2, p. 121-132, 2011Tradução . . Disponível em: https://doi.org/10.1504/ijmic.2011.042346. Acesso em: 03 out. 2024.
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      Oliveira, G. H. C., Rosa, A. da, Campello, R. J. G. B., Machado, J. B., & Amaral, W. C. (2011). An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models. International Journal of Modelling, Identification and Control - IJMIC, 14( 1/2), 121-132. doi:10.1504/ijmic.2011.042346
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      Oliveira GHC, Rosa A da, Campello RJGB, Machado JB, Amaral WC. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models [Internet]. International Journal of Modelling, Identification and Control - IJMIC. 2011 ; 14( 1/2): 121-132.[citado 2024 out. 03 ] Available from: https://doi.org/10.1504/ijmic.2011.042346
    • Vancouver

      Oliveira GHC, Rosa A da, Campello RJGB, Machado JB, Amaral WC. An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models [Internet]. International Journal of Modelling, Identification and Control - IJMIC. 2011 ; 14( 1/2): 121-132.[citado 2024 out. 03 ] Available from: https://doi.org/10.1504/ijmic.2011.042346
  • Source: Applied Soft Computing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      NALDI, Murilo Coelho et al. Efficiency issues of evolutionary k-means. Applied Soft Computing, v. 11, n. 2, p. 1938-1952, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2010.06.010. Acesso em: 03 out. 2024.
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      Naldi, M. C., Campello, R. J. G. B., Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (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 de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
    • Vancouver

      Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SANTOS, Edimilson Batista dos et al. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms. 2010, Anais.. Piscataway: Institute of Electrical and Electronics Engineers - IEEE, 2010. Disponível em: https://doi.org/10.1109/CEC.2010.5586049. Acesso em: 03 out. 2024.
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      Santos, E. B. dos, Hruschka Junior, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2010). A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms. In Proceedings. Piscataway: Institute of Electrical and Electronics Engineers - IEEE. doi:10.1109/CEC.2010.5586049
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      Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms [Internet]. Proceedings. 2010 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/CEC.2010.5586049
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      Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms [Internet]. Proceedings. 2010 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/CEC.2010.5586049
  • Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Network - SBRN. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      VELLASCO, Marley e SOUTO, Marcílio C. P e CARVALHO, André Carlos Ponce de Leon Ferreira de. Special issue for the SBRN guest editorial [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2010.08.011. Acesso em: 03 out. 2024. , 2010
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      Vellasco, M., Souto, M. C. P., & Carvalho, A. C. P. de L. F. de. (2010). Special issue for the SBRN guest editorial [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2010.08.011
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      Vellasco M, Souto MCP, Carvalho ACP de LF de. Special issue for the SBRN guest editorial [Editorial] [Internet]. Neurocomputing. 2010 ; 73( 16/18): 2797-2798.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2010.08.011
    • Vancouver

      Vellasco M, Souto MCP, Carvalho ACP de LF de. Special issue for the SBRN guest editorial [Editorial] [Internet]. Neurocomputing. 2010 ; 73( 16/18): 2797-2798.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2010.08.011
  • Source: Information Sciences. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      CAMPELLO, Ricardo José Gabrielli Barreto e HRUSCHKA, Eduardo Raul. On comparing two sequences of numbers and its applications to clustering analysis. Information Sciences, v. 179, n. 8, p. 1025-1039, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2008.11.028. Acesso em: 03 out. 2024.
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      Campello, R. J. G. B., & Hruschka, E. R. (2009). On comparing two sequences of numbers and its applications to clustering analysis. Information Sciences, 179( 8), 1025-1039. doi:10.1016/j.ins.2008.11.028
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      Campello RJGB, Hruschka ER. On comparing two sequences of numbers and its applications to clustering analysis [Internet]. Information Sciences. 2009 ; 179( 8): 1025-1039.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ins.2008.11.028
    • Vancouver

      Campello RJGB, Hruschka ER. On comparing two sequences of numbers and its applications to clustering analysis [Internet]. Information Sciences. 2009 ; 179( 8): 1025-1039.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ins.2008.11.028
  • Source: Neural Computing & Applications. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SCHNEIDER, Marvin Oliver e ROSA, João Luís Garcia. Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, v. 18, n. 1, p. 65-75, 2009Tradução . . Disponível em: https://doi.org/10.1007/s00521-007-0156-0. Acesso em: 03 out. 2024.
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      Schneider, M. O., & Rosa, J. L. G. (2009). Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, 18( 1), 65-75. doi:10.1007/s00521-007-0156-0
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      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00521-007-0156-0
    • Vancouver

      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00521-007-0156-0

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