ReP USP - Resultado da busca

Artigo de periodico
Pruning deep convolutional neural networks architectures with evolution strategy (2021)
Fernandes Junior, Francisco Erivaldo ; Yen, Gary G
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo e YEN, Gary G. Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, v. 552, p. 29-47, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.11.009. Acesso em: 27 nov. 2025.
APA
Fernandes Junior, F. E., & Yen, G. G. (2021). Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, 552, 29-47. doi:10.1016/j.ins.2020.11.009
NLM
Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
Vancouver
Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
Artigo de periodico
Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy (2021)
Fernandes Junior, Francisco Erivaldo ; Yen, Gary G
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, ALGORITMOS GENÉTICOS, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo e YEN, Gary G. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. Information Sciences, v. 558, p. 91-102, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.12.086. Acesso em: 27 nov. 2025.
APA
Fernandes Junior, F. E., & Yen, G. G. (2021). Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. Information Sciences, 558, 91-102. doi:10.1016/j.ins.2020.12.086
NLM
Fernandes Junior FE, Yen GG. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy [Internet]. Information Sciences. 2021 ; 558 91-102.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.12.086
Vancouver
Fernandes Junior FE, Yen GG. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy [Internet]. Information Sciences. 2021 ; 558 91-102.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.12.086
Artigo de periodico
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning (2019)
Fernandes, Everlandio Rebouças Queiroz; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, v. 494, p. 141-154, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.04.052. Acesso em: 27 nov. 2025.
APA
Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
NLM
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Vancouver
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Artigo de periodico
Multi-objective genetic algorithms in the study of the genetic code’s adaptability (2018)
Oliveira, Lariza Laura de; Freitas, Alex A.; Tinós, Renato
Source: Information Sciences. Unidade: FFCLRP
Subjects: CÓDIGO GENÉTICO, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Lariza Laura de e FREITAS, Alex A. e TINÓS, Renato. Multi-objective genetic algorithms in the study of the genetic code’s adaptability. Information Sciences, v. 425, p. 48-61, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.10.022. Acesso em: 27 nov. 2025.
APA
Oliveira, L. L. de, Freitas, A. A., & Tinós, R. (2018). Multi-objective genetic algorithms in the study of the genetic code’s adaptability. Information Sciences, 425, 48-61. doi:10.1016/j.ins.2017.10.022
NLM
Oliveira LL de, Freitas AA, Tinós R. Multi-objective genetic algorithms in the study of the genetic code’s adaptability [Internet]. Information Sciences. 2018 ; 425 48-61.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2017.10.022
Vancouver
Oliveira LL de, Freitas AA, Tinós R. Multi-objective genetic algorithms in the study of the genetic code’s adaptability [Internet]. Information Sciences. 2018 ; 425 48-61.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2017.10.022

USP Schools

ReP

Filtros

Authors

Subjects

Funding Agencies

Indexado em