Menu

Filtros : "Zhao, Liang" Limpar

Filtros

Refine with date range

1 - 20 (43 records)

  • Trabalho de evento

    Classification of coma etiology using convolutional neural networks and long-short term memory networks (2023)

    Baldo Júnior, Sérgio ; Carneiro, Murillo Guimarães; Destro-Filho, João Batista; Zhao, Liang ; Tinós, Renato

    Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: FFCLRP

    Subjects: ELETROENCEFALOGRAFIA, COMA, APRENDIZAGEM PROFUNDA, REDES NEURAIS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BALDO JÚNIOR, Sérgio et al. Classification of coma etiology using convolutional neural networks and long-short term memory networks. 2023, Anais.. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191203. Acesso em: 09 nov. 2024.

    • APA

      Baldo Júnior, S., Carneiro, M. G., Destro-Filho, J. B., Zhao, L., & Tinós, R. (2023). Classification of coma etiology using convolutional neural networks and long-short term memory networks. In Proceedings. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/IJCNN54540.2023.10191203

    • NLM

      Baldo Júnior S, Carneiro MG, Destro-Filho JB, Zhao L, Tinós R. Classification of coma etiology using convolutional neural networks and long-short term memory networks [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191203

    • Vancouver

      Baldo Júnior S, Carneiro MG, Destro-Filho JB, Zhao L, Tinós R. Classification of coma etiology using convolutional neural networks and long-short term memory networks [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191203

  • Artigo de periodico

    Analysis of the effectiveness of public health measures on COVID-19 transmission (2023)

    Silva, Thiago Christiano ; Anghinoni, Leandro ; Chagas, Cassia Pereira das; Zhao, Liang ; Tabak, Benjamin Miranda

    Source: International Journal of Environmental Research and Public Health. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COVID-19, APRENDIZADO COMPUTACIONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 09 nov. 2024.

    • APA

      Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758

    • NLM

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/ijerph20186758

    • Vancouver

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/ijerph20186758

  • Artigo de periodico

    Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey (2023)

    Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Parizi, Reza M ; Sheng, Quan Z ; Han, Meng ; Zhao, Liang ; Sannino, Giovanna ; Ranieri, Caetano Mazzoni ; Ueyama, Jó ; Batista, Daniel Macêdo

    Source: Electronics. Unidades: ICMC, IME

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

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.3390/electronics12122703

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.3390/electronics12122703

  • Artigo de periodico

    TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags (2023)

    Liu, Jiang; Ji, Donghong; Li, Jingye; Xie, Dongdong; Teng, Chong; Zhao, Liang; Li, Fei

    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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009

  • Trabalho de evento-anais periodico

    Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)

    Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong

    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

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024. , 2023

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192

  • Trabalho de evento

    Data classification via centrality measures of complex networks (2023)

    Fernandes, Janayna M.; Suzuki, Guilherme M.; Zhao, Liang ; Carneiro, Murillo Guimarães

    Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP

    Subjects: MATEMÁTICA DA COMPUTAÇÃO, REDES COMPLEXAS, ALGORITMOS

    PrivadoAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      FERNANDES, Janayna M. et al. Data classification via centrality measures of complex networks. 2023, Anais.. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. Disponível em: https://ieeexplore.ieee.org/document/10192048. Acesso em: 09 nov. 2024.

    • APA

      Fernandes, J. M., Suzuki, G. M., Zhao, L., & Carneiro, M. G. (2023). Data classification via centrality measures of complex networks. In Proceedings. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://ieeexplore.ieee.org/document/10192048

    • NLM

      Fernandes JM, Suzuki GM, Zhao L, Carneiro MG. Data classification via centrality measures of complex networks [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] Available from: https://ieeexplore.ieee.org/document/10192048

    • Vancouver

      Fernandes JM, Suzuki GM, Zhao L, Carneiro MG. Data classification via centrality measures of complex networks [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] Available from: https://ieeexplore.ieee.org/document/10192048

  • Artigo de periodico

    Diversity-induced resonance for optimally suprathreshold signals (2020)

    Liang, Xiaoming; Zhang, Xiyun; Zhao, Liang

    Source: Chaos: An Interdisciplinary Journal of Nonlinear Science. Unidade: FFCLRP

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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1063/5.0022065

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1063/5.0022065

  • Artigo de periodico

    Classifying el niño-southern oscillation combining network science and machine learning (2020)

    Santos, Matheus A. de Castro; Vega-Oliveros, Didier A.; Zhao, Liang ; Berton, Lilian

    Source: IEEE Access. Unidade: FFCLRP

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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1109/ACCESS.2020.2982035

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1109/ACCESS.2020.2982035

  • Artigo de periodico

    Particle swarm optimization for network-based data classification (2019)

    Carneiro, Murillo G.; Cheng, Ran; Zhao, Liang ; Jin, Yaochu

    Source: Neural Networks. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003

  • Artigo de periodico

    Advantages of edge-centric collective dynamics in machine learning tasks (2018)

    Verri, Filipe Alves Neto ; Urio, Paulo Roberto ; Zhao, Liang

    Source: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC

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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.5890/jand.2018.09.005

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.5890/jand.2018.09.005

  • Curadoria

    International Conference on Computing and Network Communications - CoCoNet, 2 (2018)

    Zhao, Liang (cur)

    Unidade: FFCLRP

    Assunto: REDES DE COMPUTADORES

    Versão PublicadaAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024. , 2018

    • APA

      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

    • NLM

      International Conference on Computing and Network Communications - CoCoNet, 2 [Internet]. 2018 ;[citado 2024 nov. 09 ] Available from: http://coconet-conference.org/2018/?q=node/12

    • Vancouver

      International Conference on Computing and Network Communications - CoCoNet, 2 [Internet]. 2018 ;[citado 2024 nov. 09 ] Available from: http://coconet-conference.org/2018/?q=node/12

  • Artigo de periodico

    NK hybrid genetic algorithm for clustering (2018)

    Tinós, Renato; Zhao, Liang; Chicano, Francisco; Whitley, Darrell

    Source: IEEE Transactions on Evolutionary Computation. Unidade: FFCLRP

    Subjects: ALGORITMOS GENÉTICOS, CLUSTERS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1109/tevc.2018.2828643

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1109/tevc.2018.2828643

  • Trabalho de evento

    A review of text-based and knowledge-based semantic similarity measures (2017)

    Ribeiro, A. A. P.; Zhao, Liang; Macedo, Alessandra Alaniz

    Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: FFCLRP

    Subjects: SEMÂNTICA DE PROGRAMAÇÃO, MINERAÇÃO DE DADOS

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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.

    • NLM

      Ribeiro AAP, Zhao L, Macedo AA. A review of text-based and knowledge-based semantic similarity measures. Proceedings. 2017 ;[citado 2024 nov. 09 ]

    • Vancouver

      Ribeiro AAP, Zhao L, Macedo AA. A review of text-based and knowledge-based semantic similarity measures. Proceedings. 2017 ;[citado 2024 nov. 09 ]

  • Curadoria

    International Joint Conference on Neural Networks, 2017f (2017)

    Zhao, Liang

    Unidade: FFCLRP

    Assunto: REDES NEURAIS

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024. , 2017

    • APA

      Zhao, L. (2017). International Joint Conference on Neural Networks, 2017f. Anchorage: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.

    • NLM

      Zhao L. International Joint Conference on Neural Networks, 2017f. 2017 ;[citado 2024 nov. 09 ]

    • Vancouver

      Zhao L. International Joint Conference on Neural Networks, 2017f. 2017 ;[citado 2024 nov. 09 ]

  • Curadoria

    International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5 (2016)

    Beingolea Garay, Jorge Rodolfo (cur) ; Zhao, Liang (cur)

    Unidades: FFCLRP, EP

    Subjects: CIÊNCIA DA COMPUTAÇÃO, COMUNICAÇÃO, INFORMÁTICA

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. . Jaipur: IEEE. . Acesso em: 09 nov. 2024. , 2016

    • APA

      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.

    • NLM

      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. 2016 ;[citado 2024 nov. 09 ]

    • Vancouver

      International Conference on Advances in Computing, Communications and Informatics - ICACCI, 5. 2016 ;[citado 2024 nov. 09 ]

  • Artigo de periodico

    An embedded imputation method via Attribute-based Decision Graphs (2016)

    Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Zhao, Liang

    Source: Expert Systems with Applications. Unidade: FFCLRP

    Subjects: REDES NEURAIS, REDES COMPLEXAS, INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.027

  • Artigo de periodico

    Network-based supervised data classification by using an heuristic of ease of access (2015)

    Cupertino, Thiago H.; Zhao, Liang; Carneiro, Murillo G.

    Source: Neurocomputing. Unidade: FFCLRP

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071

  • Artigo de periodico

    Characterizing chaotic melodies in automatic music composition (2010)

    Coca Salazar, Andrés Eduardo; Tost, Gerard O.; Zhao, Liang

    Source: Chaos (Woodbury, N.Y.). Unidade: ICMC

    Assunto: REDES NEURAIS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1063/1.3487516

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1063/1.3487516

  • Trabalho de evento

    Online classifier based on the optimal K-associated network (2010)

    Bertini Junior, João Roberto; Lopes, Alneu de Andrade ; Motta, Robson; Zhao, Liang

    Source: Anais. Conference titles: Joint Conference. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BERTINI JUNIOR, João Roberto et al. Online classifier based on the optimal K-associated network. 2010, Anais.. Porto Alegre: SBC, 2010. . Acesso em: 09 nov. 2024.

    • APA

      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.

    • NLM

      Bertini Junior JR, Lopes A de A, Motta R, Zhao L. Online classifier based on the optimal K-associated network. Anais. 2010 ;[citado 2024 nov. 09 ]

    • Vancouver

      Bertini Junior JR, Lopes A de A, Motta R, Zhao L. Online classifier based on the optimal K-associated network. Anais. 2010 ;[citado 2024 nov. 09 ]

  • Artigo de periodico

    Phase-disorder-induced double resonance of neuronal activity (2010)

    Liang, Xiaoming; Liu, Zonghua; Dhamala, Mukeshwar; Zhao, Liang

    Source: Physical Review E. Unidade: ICMC

    Assunto: REDES NEURAIS

    Acesso à fonteAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 09 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 09 ] Available from: https://doi.org/10.1103/physreve.82.010902

    • Vancouver

      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 nov. 09 ] Available from: https://doi.org/10.1103/physreve.82.010902

1 - 20 (43 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024