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Artigo de periodico
Online extra trees regressor (2023)
Mastelini, Saulo Martiello ; Nakano, Felipe Kenji; Vens, Celine ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASTELINI, Saulo Martiello et al. Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, v. 34, n. 10, p. 6755-6767, 2023Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2022.3212859. Acesso em: 30 nov. 2025.
APA
Mastelini, S. M., Nakano, F. K., Vens, C., & Carvalho, A. C. P. de L. F. de. (2023). Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, 34( 10), 6755-6767. doi:10.1109/TNNLS.2022.3212859
NLM
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Vancouver
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Artigo de periodico
Link prediction based on stochastic information diffusion (2022)
Vega-Oliveros, Didier Augusto ; Liang, Zhao ; Rocha, Anderson; Berton, Lilian
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: PROBABILIDADE, DISSEMINAÇÃO SELETIVA DA INFORMAÇÃO, REDES COMPLEXAS, EDITORES DE LIGAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VEGA-OLIVEROS, Didier Augusto et al. Link prediction based on stochastic information diffusion. IEEE Transactions on Neural Networks and Learning Systems, v. 33, n. 8, p. 3522-3532, 2022Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2021.3053263. Acesso em: 30 nov. 2025.
APA
Vega-Oliveros, D. A., Liang, Z., Rocha, A., & Berton, L. (2022). Link prediction based on stochastic information diffusion. IEEE Transactions on Neural Networks and Learning Systems, 33( 8), 3522-3532. doi:10.1109/TNNLS.2021.3053263
NLM
Vega-Oliveros DA, Liang Z, Rocha A, Berton L. Link prediction based on stochastic information diffusion [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2022 ; 33( 8): 3522-3532.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2021.3053263
Vancouver
Vega-Oliveros DA, Liang Z, Rocha A, Berton L. Link prediction based on stochastic information diffusion [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2022 ; 33( 8): 3522-3532.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2021.3053263
Artigo de periodico
Organizational data classification based on the importance concept of complex networks (2018)
Carneiro, Murillo Guimarães; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: 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, Murillo Guimarães e LIANG, Zhao. Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 8, p. 3361-3373, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2017.2726082. Acesso em: 30 nov. 2025.
APA
Carneiro, M. G., & Liang, Z. (2018). Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, 29( 8), 3361-3373. doi:10.1109/TNNLS.2017.2726082
NLM
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Vancouver
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Artigo de periodico
Network unfolding map by vertex-edge dynamics modeling (2018)
Verri, Filipe Alves Neto; Urio, Paulo Roberto; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: REDES NEURAIS, REDES COMPLEXAS, SISTEMAS DINÂMICOS
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 LIANG, Zhao. Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 2, p. 405-418, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2016.2626341. Acesso em: 30 nov. 2025.
APA
Verri, F. A. N., Urio, P. R., & Liang, Z. (2018). Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, 29( 2), 405-418. doi:10.1109/TNNLS.2016.2626341
NLM
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Vancouver
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Artigo de periodico
Competitive learning with pairwise constraints (2013)
Covões, Thiago F; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago F e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. ja 2013, p. 164-169, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2227064. Acesso em: 30 nov. 2025.
APA
Covões, T. F., Hruschka, E. R., & Ghosh, J. (2013). Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, 24( ja 2013), 164-169. doi:10.1109/TNNLS.2012.2227064
NLM
Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
Vancouver
Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
Artigo de periodico
Phase-noise-induced resonance in arrays of coupled excitable neural models (2013)
Xiaoming, Liang; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XIAOMING, Liang e LIANG, Zhao. Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. 8, p. 1339-1345, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2013.2254126. Acesso em: 30 nov. 2025.
APA
Xiaoming, L., & Liang, Z. (2013). Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, 24( 8), 1339-1345. doi:10.1109/TNNLS.2013.2254126
NLM
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
Vancouver
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126

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