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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
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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
Detecting and preventing error propagation via competitive learning (2013)
Silva, Thiago Christiano; Liang, Zhao
Source: Neural Networks. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.11.001. Acesso em: 16 nov. 2025.
APA
Silva, T. C., & Liang, Z. (2013). Detecting and preventing error propagation via competitive learning. Neural Networks, 41, 70-84. doi:10.1016/j.neunet.2012.11.001
NLM
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
Vancouver
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
Artigo de periodico
Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling (2012)
Xiaoming, Liang; Liang, Zhao
Source: Neural Networks. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XIAOMING, Liang e LIANG, Zhao. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. no 2012, p. 40-45, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.08.002. Acesso em: 16 nov. 2025.
APA
Xiaoming, L., & Liang, Z. (2012). Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, no 2012, 40-45. doi:10.1016/j.neunet.2012.08.002
NLM
Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
Vancouver
Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
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
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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
Trabalho de evento-anais periodico
How language can help discrimination in the neural modelling fields framework (2008)
Fontanari, José Fernando ; Perlovsky, Leonid I.
Source: Neural Networks. Conference titles: International Joint Conference on Neural Networks. Unidade: IFSC
Subjects: AQUISIÇÃO DA LINGUAGEM, ALGORITMOS, PALAVRA, INTELIGÊNCIA ARTIFICIAL, NEUROCIÊNCIAS (MODELOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONTANARI, José Fernando e PERLOVSKY, Leonid I. How language can help discrimination in the neural modelling fields framework. Neural Networks. Oxford: Pergamon Elsevier Science. Disponível em: https://doi.org/10.1016/j.neunet.2007.12.007. Acesso em: 16 nov. 2025. , 2008
APA
Fontanari, J. F., & Perlovsky, L. I. (2008). How language can help discrimination in the neural modelling fields framework. Neural Networks. Oxford: Pergamon Elsevier Science. doi:10.1016/j.neunet.2007.12.007
NLM
Fontanari JF, Perlovsky LI. How language can help discrimination in the neural modelling fields framework [Internet]. Neural Networks. 2008 ; 21( 2/3): 250-256.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2007.12.007
Vancouver
Fontanari JF, Perlovsky LI. How language can help discrimination in the neural modelling fields framework [Internet]. Neural Networks. 2008 ; 21( 2/3): 250-256.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2007.12.007
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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
Artigo de periodico
Anxiety-like behavior in rats: a computational model (2000)
Salum, Cristiane; Carvalho, Sílvio Morato de; Roque-da-Silva, Antonio Carlos
Source: Neural Networks. Unidade: FFCLRP
Subjects: PSICOBIOLOGIA, PSICOLOGIA (MÉTODOS DE PESQUISA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALUM, Cristiane e CARVALHO, Sílvio Morato de e ROQUE-DA-SILVA, Antonio Carlos. Anxiety-like behavior in rats: a computational model. Neural Networks, v. 13, n. 1, p. 21-29, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0893-6080(99)00099-4. Acesso em: 16 nov. 2025.
APA
Salum, C., Carvalho, S. M. de, & Roque-da-Silva, A. C. (2000). Anxiety-like behavior in rats: a computational model. Neural Networks, 13( 1), 21-29. doi:10.1016/s0893-6080(99)00099-4
NLM
Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4
Vancouver
Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4

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