Filtros : "Zhao, Liang" Limpar

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  • Source: Electronics. Unidades: ICMC, IME

    Subjects: INTERNET DAS COISAS, TECNOLOGIAS DA SAÚDE, PRIVACIDADE, APRENDIZAGEM

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      MOSAIYEBZADEH, Fatemeh et al. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, v. 12, n. 12, p. 1-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/electronics12122703. Acesso em: 30 abr. 2024.
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      Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., et al. (2023). Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, 12( 12), 1-28. doi:10.3390/electronics12122703
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      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2024 abr. 30 ] Available from: https://doi.org/10.3390/electronics12122703
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      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2024 abr. 30 ] Available from: https://doi.org/10.3390/electronics12122703
  • Source: IEEE/ACM Transactions on Audio, Speech, and Language Processing. Unidade: FFCLRP

    Subjects: DESIGNS (CONFIGURAÇÕES COMBINATÓRIAS), ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, PROCESSAMENTO DE LINGUAGEM NATURAL

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      LIU, Jiang et al. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 31, p. 177-187, 2023Tradução . . Disponível em: https://doi.org/10.1109/TASLP.2022.3221009. Acesso em: 30 abr. 2024.
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      Liu, J., Ji, D., Li, J., Xie, D., Teng, C., Zhao, L., & Li, F. (2023). TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 177-187. doi:10.1109/TASLP.2022.3221009
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      Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009
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      Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009
  • Source: Proceedings. Conference titles: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC

    Subjects: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO

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      ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 30 abr. 2024. , 2023
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      Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
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      Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
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      Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
  • Source: Chaos: An Interdisciplinary Journal of Nonlinear Science. Unidade: FFCLRP

    Subjects: POTENCIAIS DE AÇÃO, SIMULAÇÃO (APRENDIZAGEM), MODELOS ANATÔMICOS, NEURÔNIOS

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      LIANG, Xiaoming e ZHANG, Xiyun e ZHAO, Liang. Diversity-induced resonance for optimally suprathreshold signals. Chaos: An Interdisciplinary Journal of Nonlinear Science, v. 30, n. 10, 2020Tradução . . Disponível em: https://doi.org/10.1063/5.0022065. Acesso em: 30 abr. 2024.
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      Liang, X., Zhang, X., & Zhao, L. (2020). Diversity-induced resonance for optimally suprathreshold signals. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30( 10). doi:10.1063/5.0022065
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      Liang X, Zhang X, Zhao L. Diversity-induced resonance for optimally suprathreshold signals [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2020 ; 30( 10):[citado 2024 abr. 30 ] Available from: https://doi.org/10.1063/5.0022065
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      Liang X, Zhang X, Zhao L. Diversity-induced resonance for optimally suprathreshold signals [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2020 ; 30( 10):[citado 2024 abr. 30 ] Available from: https://doi.org/10.1063/5.0022065
  • Source: IEEE Access. Unidade: FFCLRP

    Subjects: ALGORITMOS, REDES COMPLEXAS, EL NIÑO, APRENDIZADO COMPUTACIONAL

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      SANTOS, Matheus A. de Castro et al. Classifying el niño-southern oscillation combining network science and machine learning. IEEE Access, v. 8, p. 55711-55723, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.2982035. Acesso em: 30 abr. 2024.
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      Santos, M. A. de C., Vega-Oliveros, D. A., Zhao, L., & Berton, L. (2020). Classifying el niño-southern oscillation combining network science and machine learning. IEEE Access, 8, 55711-55723. doi:10.1109/ACCESS.2020.2982035
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      Santos MA de C, Vega-Oliveros DA, Zhao L, Berton L. Classifying el niño-southern oscillation combining network science and machine learning [Internet]. IEEE Access. 2020 ; 8 55711-55723.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/ACCESS.2020.2982035
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      Santos MA de C, Vega-Oliveros DA, Zhao L, Berton L. Classifying el niño-southern oscillation combining network science and machine learning [Internet]. IEEE Access. 2020 ; 8 55711-55723.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/ACCESS.2020.2982035
  • Source: Neural Networks. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA

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      CARNEIRO, Murillo G. et al. Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2018.12.003. Acesso em: 30 abr. 2024.
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      Carneiro, M. G., Cheng, R., Zhao, L., & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. doi:10.1016/j.neunet.2018.12.003
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      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
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      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
  • Source: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC

    Subjects: PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL, REDES NEURAIS

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      VERRI, Filipe Alves Neto e URIO, Paulo Roberto e ZHAO, Liang. Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, v. 7, n. 3, p. 269-285, 2018Tradução . . Disponível em: https://doi.org/10.5890/jand.2018.09.005. Acesso em: 30 abr. 2024.
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      Verri, F. A. N., Urio, P. R., & Zhao, L. (2018). Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, 7( 3), 269-285. doi:10.5890/jand.2018.09.005
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      Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2024 abr. 30 ] Available from: https://doi.org/10.5890/jand.2018.09.005
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      Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2024 abr. 30 ] Available from: https://doi.org/10.5890/jand.2018.09.005
  • Unidade: FFCLRP

    Assunto: REDES DE COMPUTADORES

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      International Conference on Computing and Network Communications - CoCoNet, 2. . Astana: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: http://coconet-conference.org/2018/?q=node/12. Acesso em: 30 abr. 2024. , 2018
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      International Conference on Computing and Network Communications - CoCoNet, 2. (2018). International Conference on Computing and Network Communications - CoCoNet, 2. Astana: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de http://coconet-conference.org/2018/?q=node/12
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      International Conference on Computing and Network Communications - CoCoNet, 2 [Internet]. 2018 ;[citado 2024 abr. 30 ] Available from: http://coconet-conference.org/2018/?q=node/12
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      International Conference on Computing and Network Communications - CoCoNet, 2 [Internet]. 2018 ;[citado 2024 abr. 30 ] Available from: http://coconet-conference.org/2018/?q=node/12
  • Source: IEEE Transactions on Evolutionary Computation. Unidade: FFCLRP

    Subjects: ALGORITMOS GENÉTICOS, CLUSTERS

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      TINÓS, Renato et al. NK hybrid genetic algorithm for clustering. IEEE Transactions on Evolutionary Computation, v. 22, n. 5, p. 748-761, 2018Tradução . . Disponível em: https://doi.org/10.1109/tevc.2018.2828643. Acesso em: 30 abr. 2024.
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      Tinós, R., Zhao, L., Chicano, F., & Whitley, D. (2018). NK hybrid genetic algorithm for clustering. IEEE Transactions on Evolutionary Computation, 22( 5), 748-761. doi:10.1109/tevc.2018.2828643
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      Tinós R, Zhao L, Chicano F, Whitley D. NK hybrid genetic algorithm for clustering [Internet]. IEEE Transactions on Evolutionary Computation. 2018 ; 22( 5): 748-761.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/tevc.2018.2828643
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      Tinós R, Zhao L, Chicano F, Whitley D. NK hybrid genetic algorithm for clustering [Internet]. IEEE Transactions on Evolutionary Computation. 2018 ; 22( 5): 748-761.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/tevc.2018.2828643
  • Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: FFCLRP

    Subjects: SEMÂNTICA DE PROGRAMAÇÃO, MINERAÇÃO DE DADOS

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      RIBEIRO, A. A. P. e ZHAO, Liang e MACEDO, Alessandra Alaniz. A review of text-based and knowledge-based semantic similarity measures. 2017, Anais.. Uberlândia: UFU, 2017. . Acesso em: 30 abr. 2024.
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      Ribeiro, A. A. P., Zhao, L., & Macedo, A. A. (2017). A review of text-based and knowledge-based semantic similarity measures. In Proceedings. Uberlândia: UFU.
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      Ribeiro AAP, Zhao L, Macedo AA. A review of text-based and knowledge-based semantic similarity measures. Proceedings. 2017 ;[citado 2024 abr. 30 ]
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      Ribeiro AAP, Zhao L, Macedo AA. A review of text-based and knowledge-based semantic similarity measures. Proceedings. 2017 ;[citado 2024 abr. 30 ]
  • Unidade: FFCLRP

    Assunto: REDES NEURAIS

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      ZHAO, Liang. International Joint Conference on Neural Networks, 2017f. . Anchorage: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 30 abr. 2024. , 2017
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      Zhao, L. (2017). International Joint Conference on Neural Networks, 2017f. Anchorage: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
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      Zhao L. International Joint Conference on Neural Networks, 2017f. 2017 ;[citado 2024 abr. 30 ]
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      Zhao L. International Joint Conference on Neural Networks, 2017f. 2017 ;[citado 2024 abr. 30 ]
  • Unidades: FFCLRP, EP

    Subjects: CIÊNCIA DA COMPUTAÇÃO, COMUNICAÇÃO, INFORMÁTICA

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      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. . Jaipur: IEEE. . Acesso em: 30 abr. 2024. , 2016
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      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. (2016). International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. Jaipur: IEEE.
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      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. 2016 ;[citado 2024 abr. 30 ]
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      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. 2016 ;[citado 2024 abr. 30 ]
  • Source: Expert Systems with Applications. Unidade: FFCLRP

    Subjects: REDES NEURAIS, REDES COMPLEXAS, INTELIGÊNCIA ARTIFICIAL

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      BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e ZHAO, Liang. An embedded imputation method via Attribute-based Decision Graphs. Expert Systems with Applications, v. 57, p. 159-177, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.03.027. Acesso em: 30 abr. 2024.
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      Bertini Junior, J. R., Nicoletti, M. do C., & Zhao, L. (2016). An embedded imputation method via Attribute-based Decision Graphs. Expert Systems with Applications, 57, 159-177. doi:10.1016/j.eswa.2016.03.027
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      Bertini Junior JR, Nicoletti M do C, Zhao L. An embedded imputation method via Attribute-based Decision Graphs [Internet]. Expert Systems with Applications. 2016 ; 57 159-177.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027
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      Bertini Junior JR, Nicoletti M do C, Zhao L. An embedded imputation method via Attribute-based Decision Graphs [Internet]. Expert Systems with Applications. 2016 ; 57 159-177.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

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      CUPERTINO, Thiago H. e ZHAO, Liang e CARNEIRO, Murillo G. Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, v. 149, p. 86-92, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.03.071. Acesso em: 30 abr. 2024.
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      Cupertino, T. H., Zhao, L., & Carneiro, M. G. (2015). Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, 149, 86-92. doi:10.1016/j.neucom.2014.03.071
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      Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
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      Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
  • Source: Chaos (Woodbury, N.Y.). Unidade: ICMC

    Assunto: REDES NEURAIS

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      COCA SALAZAR, Andrés Eduardo e TOST, Gerard O. e ZHAO, Liang. Characterizing chaotic melodies in automatic music composition. Chaos (Woodbury, N.Y.), v. 20, n. 3, p. 033125-1-033125-12, 2010Tradução . . Disponível em: https://doi.org/10.1063/1.3487516. Acesso em: 30 abr. 2024.
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      Coca Salazar, A. E., Tost, G. O., & Zhao, L. (2010). Characterizing chaotic melodies in automatic music composition. Chaos (Woodbury, N.Y.), 20( 3), 033125-1-033125-12. doi:10.1063/1.3487516
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      Coca Salazar AE, Tost GO, Zhao L. Characterizing chaotic melodies in automatic music composition [Internet]. Chaos (Woodbury, N.Y.). 2010 ; 20( 3): 033125-1-033125-12.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1063/1.3487516
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      Coca Salazar AE, Tost GO, Zhao L. Characterizing chaotic melodies in automatic music composition [Internet]. Chaos (Woodbury, N.Y.). 2010 ; 20( 3): 033125-1-033125-12.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1063/1.3487516
  • Source: Anais. Conference titles: Joint Conference. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BERTINI JUNIOR, João Roberto et al. Online classifier based on the optimal K-associated network. 2010, Anais.. Porto Alegre: SBC, 2010. . Acesso em: 30 abr. 2024.
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      Bertini Junior, J. R., Lopes, A. de A., Motta, R., & Zhao, L. (2010). Online classifier based on the optimal K-associated network. In Anais. Porto Alegre: SBC.
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      Bertini Junior JR, Lopes A de A, Motta R, Zhao L. Online classifier based on the optimal K-associated network. Anais. 2010 ;[citado 2024 abr. 30 ]
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      Bertini Junior JR, Lopes A de A, Motta R, Zhao L. Online classifier based on the optimal K-associated network. Anais. 2010 ;[citado 2024 abr. 30 ]
  • Source: Physical Review E. Unidade: ICMC

    Assunto: REDES NEURAIS

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      LIANG, Xiaoming et al. Phase-disorder-induced double resonance of neuronal activity. Physical Review E, v. 82, n. 1, p. 010902_1-010902_4, 2010Tradução . . Disponível em: https://doi.org/10.1103/physreve.82.010902. Acesso em: 30 abr. 2024.
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      Liang, X., Liu, Z., Dhamala, M., & Zhao, L. (2010). Phase-disorder-induced double resonance of neuronal activity. Physical Review E, 82( 1), 010902_1-010902_4. doi:10.1103/physreve.82.010902
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      Liang X, Liu Z, Dhamala M, Zhao L. Phase-disorder-induced double resonance of neuronal activity [Internet]. Physical Review E. 2010 ; 82( 1): 010902_1-010902_4.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/physreve.82.010902
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      Liang X, Liu Z, Dhamala M, Zhao L. Phase-disorder-induced double resonance of neuronal activity [Internet]. Physical Review E. 2010 ; 82( 1): 010902_1-010902_4.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/physreve.82.010902
  • Source: Neural Networks. Unidade: ICMC

    Assunto: REDES NEURAIS

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      BREVE, Fabricio A. et al. Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, v. 22, n. 5-6, p. 728-737, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2009.06.027. Acesso em: 30 abr. 2024.
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      Breve, F. A., Zhao, L., Quiles, M. G., & Macau, E. E. N. (2009). Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, 22( 5-6), 728-737. doi:10.1016/j.neunet.2009.06.027
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      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
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      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
  • 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: 30 abr. 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
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      Delbem ACB, Corrêa LG, Zhao L. Design of associative memories using cellular neural networks [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2180-2188.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neucom.2008.06.029
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      Delbem ACB, Corrêa LG, Zhao L. Design of associative memories using cellular neural networks [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2180-2188.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.neucom.2008.06.029
  • Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidade: ICMC

    Assunto: COMPUTAÇÃO BIOINSPIRADA

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      QUILES, Marcos Gonçalves e ZHAO, Liang e ROMERO, Roseli Aparecida Francelin. A visual selection mechanism based on a pulse-coupled neural network. 2007, Anais.. Los Alamitos: IEEE, 2007. . Acesso em: 30 abr. 2024.
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      Quiles, M. G., Zhao, L., & Romero, R. A. F. (2007). A visual selection mechanism based on a pulse-coupled neural network. In Proceedings. Los Alamitos: IEEE.
    • NLM

      Quiles MG, Zhao L, Romero RAF. A visual selection mechanism based on a pulse-coupled neural network. Proceedings. 2007 ;[citado 2024 abr. 30 ]
    • Vancouver

      Quiles MG, Zhao L, Romero RAF. A visual selection mechanism based on a pulse-coupled neural network. Proceedings. 2007 ;[citado 2024 abr. 30 ]

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