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Artigo de periodico
Continual object detection: a review of definitions, strategies, and challenges (2023)
Menezes, Angelo Garangau ; Moura, Gustavo de; Alves, Cézanne; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BENCHMARKS, REVISÃO SISTEMÁTICA
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ABNT
MENEZES, Angelo Garangau et al. Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, v. 161, p. 476-493, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2023.01.041. Acesso em: 16 nov. 2025.
APA
Menezes, A. G., Moura, G. de, Alves, C., & Carvalho, A. C. P. de L. F. de. (2023). Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, 161, 476-493. doi:10.1016/j.neunet.2023.01.041
NLM
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Vancouver
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Artigo de periodico
Learning image features with fewer labels using a semi-supervised deep convolutional network (2020)
Santos, Fernando Pereira dos ; Zor, Cemre ; Kittler, Josef ; Ponti, Moacir Antonelli
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos et al. Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, v. 132, p. 131-143, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2020.08.016. Acesso em: 16 nov. 2025.
APA
Santos, F. P. dos, Zor, C., Kittler, J., & Ponti, M. A. (2020). Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, 132, 131-143. doi:10.1016/j.neunet.2020.08.016
NLM
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Vancouver
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Artigo de periodico
Spike timing-dependent plasticity induces non-trivial topology in the brain (2017)
Borges, Rafael Ribaski; Borges, Fernando da Silva; Lameu, Ewandson Luiz; Batista, Antonio Marcos; Iarosz, Kelly Cristiane; Caldas, Iberê Luiz ; Antonopoulose, C G; Baptista, Murilo da Silva
Source: Neural Networks. Unidade: IF
Subjects: REDES NEURAIS, SINCRONIZAÇÃO
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ABNT
BORGES, Rafael Ribaski et al. Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, v. 88, p. 58–64, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2017.01.010. Acesso em: 16 nov. 2025.
APA
Borges, R. R., Borges, F. da S., Lameu, E. L., Batista, A. M., Iarosz, K. C., Caldas, I. L., et al. (2017). Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88, 58–64. doi:10.1016/j.neunet.2017.01.010
NLM
Borges RR, Borges F da S, Lameu EL, Batista AM, Iarosz KC, Caldas IL, Antonopoulose CG, Baptista M da S. Spike timing-dependent plasticity induces non-trivial topology in the brain [Internet]. Neural Networks. 2017 ; 88 58–64.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2017.01.010
Vancouver
Borges RR, Borges F da S, Lameu EL, Batista AM, Iarosz KC, Caldas IL, Antonopoulose CG, Baptista M da S. Spike timing-dependent plasticity induces non-trivial topology in the brain [Internet]. Neural Networks. 2017 ; 88 58–64.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2017.01.010
Trabalho de evento-anais periodico
Cross-situational learning of object-word mapping using neural modeling fields (2009)
Fontanari, José Fernando ; Tikhanoff, Vadim; Cangelosi, Angelo; Ilin, Roman; Perlovsky, Leonid I.
Source: Neural Networks. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: IFSC
Subjects: REDES NEURAIS, COGNIÇÃO, LINGUAGEM (AQUISIÇÃO), ALGORITMOS, NEUROCIÊNCIAS (MODELOS), LINGUÍSTICA COMPUTACIONAL, LÉXICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONTANARI, José Fernando et al. Cross-situational learning of object-word mapping using neural modeling fields. Neural Networks. Oxford: Pergamon-Elsevier Science. Disponível em: https://doi.org/10.1016/j.neunet.2009.06.010. Acesso em: 16 nov. 2025. , 2009
APA
Fontanari, J. F., Tikhanoff, V., Cangelosi, A., Ilin, R., & Perlovsky, L. I. (2009). Cross-situational learning of object-word mapping using neural modeling fields. Neural Networks. Oxford: Pergamon-Elsevier Science. doi:10.1016/j.neunet.2009.06.010
NLM
Fontanari JF, Tikhanoff V, Cangelosi A, Ilin R, Perlovsky LI. Cross-situational learning of object-word mapping using neural modeling fields [Internet]. Neural Networks. 2009 ; 22( 5/6): 579-585.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.010
Vancouver
Fontanari JF, Tikhanoff V, Cangelosi A, Ilin R, Perlovsky LI. Cross-situational learning of object-word mapping using neural modeling fields [Internet]. Neural Networks. 2009 ; 22( 5/6): 579-585.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.010
Artigo de periodico
Chaotic phase synchronization and desynchronization in an oscillator network for object selection (2009)
Breve, Fabricio A.; Zhao, Liang; Quiles, Marcos G; Macau, Elbert E N
Source: Neural Networks. Unidade: ICMC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 16 nov. 2025.
APA
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
NLM
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 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
Vancouver
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 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
Artigo de periodico
Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures (2005)
Del Moral Hernandez, Emilio
Source: Neural Networks. Unidade: EP
Assunto: REDES NEURAIS
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ABNT
DEL MORAL HERNANDEZ, Emilio. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, v. 18, n. 5-6, p. 532-540, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2005.06.035. Acesso em: 16 nov. 2025.
APA
Del Moral Hernandez, E. (2005). Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, 18( 5-6), 532-540. doi:10.1016/j.neunet.2005.06.035
NLM
Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
Vancouver
Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035

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