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Artigo de periodico
A tourist walk approach for internal and external outlier detection (2020)
Rodrigues, Rafael Delalibera ; Liang, Zhao ; Zheng, Qiusheng; Zhang, Junbao
Source: Neurocomputing. Unidades: FFCLRP, ICMC
Subjects: TURISMO, MEMÓRIA (ELETRÔNICA DIGITAL), ATRATORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Rafael Delalibera et al. A tourist walk approach for internal and external outlier detection. Neurocomputing, v. 393, p. 203-213, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2018.10.113. Acesso em: 11 nov. 2024.
APA
Rodrigues, R. D., Liang, Z., Zheng, Q., & Zhang, J. (2020). A tourist walk approach for internal and external outlier detection. Neurocomputing, 393, 203-213. doi:10.1016/j.neucom.2018.10.113
NLM
Rodrigues RD, Liang Z, Zheng Q, Zhang J. A tourist walk approach for internal and external outlier detection [Internet]. Neurocomputing. 2020 ; 393 203-213.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.10.113
Vancouver
Rodrigues RD, Liang Z, Zheng Q, Zhang J. A tourist walk approach for internal and external outlier detection [Internet]. Neurocomputing. 2020 ; 393 203-213.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.10.113
Trabalho de evento
Particle competition for multilayer network community detection (2019)
Gao, Xubo; Zheng, Qiusheng; Verri, Filipe Alves Neto ; Rodrigues, Rafael Delalibera ; Liang, Zhao
Source: Proceedings. Conference titles: International Conference on Machine Learning and Computing - ICMLC. Unidades: FFCLRP, ICMC
Subjects: TEORIA DA COMPUTAÇÃO, ALGORITMOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAO, Xubo et al. Particle competition for multilayer network community detection. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3318299.3318320. Acesso em: 11 nov. 2024.
APA
Gao, X., Zheng, Q., Verri, F. A. N., Rodrigues, R. D., & Liang, Z. (2019). Particle competition for multilayer network community detection. In Proceedings. New York: ACM. doi:10.1145/3318299.3318320
NLM
Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1145/3318299.3318320
Vancouver
Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1145/3318299.3318320
Trabalho de evento
A network-based model for optimizing returns in the stock market (2019)
Colliri, Tiago Santos ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. A network-based model for optimizing returns in the stock market. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00118. Acesso em: 11 nov. 2024.
APA
Colliri, T. S., & Liang, Z. (2019). A network-based model for optimizing returns in the stock market. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00118
NLM
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
Vancouver
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
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
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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.5890/jand.2018.09.005
Trabalho de evento
Improving semantic role labeling using high-level classification in complex networks (2017)
Carneiro, Murilo G; Rosa, João Luís Garcia ; Qiusheng, Zheng; Xiaoming, Liu; Liang, Zhao
Source: Proceedings. Conference titles: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery - ICNC-FSKD. Unidades: ICMC, FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murilo G et al. Improving semantic role labeling using high-level classification in complex networks. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/FSKD.2017.8393113. Acesso em: 11 nov. 2024.
APA
Carneiro, M. G., Rosa, J. L. G., Qiusheng, Z., Xiaoming, L., & Liang, Z. (2017). Improving semantic role labeling using high-level classification in complex networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/FSKD.2017.8393113
NLM
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113
Vancouver
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113

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