ReP USP - Resultado da busca

Artigo de periodico
Multilevel coarsening for interactive visualization of large bipartite networks (2022)
Valejo, Alan Demetrius Baria ; Fabbri, Renato ; Lopes, Alneu de Andrade ; Liang, Zhao; Oliveira, Maria Cristina Ferreira de
Source: Frontiers in Research Metrics and Analytics. Unidades: ICMC, FFCLRP
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALEJO, Alan Demetrius Baria et al. Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, v. 7, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.3389/frma.2022.855165. Acesso em: 10 nov. 2024.
APA
Valejo, A. D. B., Fabbri, R., Lopes, A. de A., Liang, Z., & Oliveira, M. C. F. de. (2022). Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, 7, 1-18. doi:10.3389/frma.2022.855165
NLM
Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3389/frma.2022.855165
Vancouver
Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3389/frma.2022.855165
Trabalho de evento
Echo state network performance analysis using non-random topologies (2020)
Arroyo, Diana Carolina Roca ; Florez, Alexander Ylnner Choquenaira ; Flores, Daniela Milón ; Romero, Roseli Aparecida Francelin ; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Colombian Conference on Applications of Computational Intelligence - ColCACI. Unidades: ICMC, FFCLRP
Subjects: SISTEMAS DINÂMICOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARROYO, Diana Carolina Roca et al. Echo state network performance analysis using non-random topologies. 2020, Anais.. Danvers: IEEE, 2020. Disponível em: https://doi.org/10.1109/ColCACI50549.2020.9248714. Acesso em: 10 nov. 2024.
APA
Arroyo, D. C. R., Florez, A. Y. C., Flores, D. M., Romero, R. A. F., & Liang, Z. (2020). Echo state network performance analysis using non-random topologies. In Proceedings. Danvers: IEEE. doi:10.1109/ColCACI50549.2020.9248714
NLM
Arroyo DCR, Florez AYC, Flores DM, Romero RAF, Liang Z. Echo state network performance analysis using non-random topologies [Internet]. Proceedings. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ColCACI50549.2020.9248714
Vancouver
Arroyo DCR, Florez AYC, Flores DM, Romero RAF, Liang Z. Echo state network performance analysis using non-random topologies [Internet]. Proceedings. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ColCACI50549.2020.9248714
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: 10 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. 10 ] 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. 10 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113
Curadoria
Symposium on knowledge discovery, mining and learning, 5 (2017)
Carvalho, André Carlos Ponce de Leon Ferreira de (cur) ; Razente, Humberto Luiz (cur); Pereira, João Henrique de Souza (cur); Paiva, José Gustavo de Souza (cur); Martins, Luiz Gustavo Almeida (cur); Nascimento, Marcelo Zanchetta do (cur); Barioni, Maria Camila Nardini (cur); Escarpinati, Mauricio Cunha (cur); Carneiro, Murillo Guimarães (cur); Gabriel, Paulo Henrique Ribeiro (cur); Sousa, Elaine Parros Machado de (cur) ; Cozman, Fabio Gagliardi (cur) ; Liang, Zhao (cur); Nascimento, Mariá (cur); Tinós, Renato (cur); Rezende, Solange Oliveira (cur)
Unidades: ICMC, EP, FFCLRP
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Symposium on knowledge discovery, mining and learning, 5. . Uberlândia: SBC. Disponível em: http://www.facom.ufu.br/~kdmile/committes/index.html. Acesso em: 10 nov. 2024. , 2017
APA
Symposium on knowledge discovery, mining and learning, 5. (2017). Symposium on knowledge discovery, mining and learning, 5. Uberlândia: SBC. Recuperado de http://www.facom.ufu.br/~kdmile/committes/index.html
NLM
Symposium on knowledge discovery, mining and learning, 5 [Internet]. 2017 ;[citado 2024 nov. 10 ] Available from: http://www.facom.ufu.br/~kdmile/committes/index.html
Vancouver
Symposium on knowledge discovery, mining and learning, 5 [Internet]. 2017 ;[citado 2024 nov. 10 ] Available from: http://www.facom.ufu.br/~kdmile/committes/index.html
Curadoria
International Conference on Nonlinear Science and Complexity - NSC, 6 (2016)
Silva Filho, Antônio Carlos Roque da (cur); Caldas, Iberê Luiz (cur) ; Eisencraft, Marcio (cur) ; Tufaile, Alberto (cur); Rodrigues, Francisco Aparecido (cur) ; Piqueira, José Roberto Castilho (cur) ; Romero, Roseli Aparecida Francelin (cur) ; Liang, Zhao (cur)
Unidades: FFCLRP, IF, EP, EACH, ICMC
Subjects: SISTEMAS NÃO LINEARES, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
International Conference on Nonlinear Science and Complexity - NSC, 6. . São José dos Campos: INPE. . Acesso em: 10 nov. 2024. , 2016
APA
International Conference on Nonlinear Science and Complexity - NSC, 6. (2016). International Conference on Nonlinear Science and Complexity - NSC, 6. São José dos Campos: INPE.
NLM
International Conference on Nonlinear Science and Complexity - NSC, 6. 2016 ;[citado 2024 nov. 10 ]
Vancouver
International Conference on Nonlinear Science and Complexity - NSC, 6. 2016 ;[citado 2024 nov. 10 ]
Curadoria
Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29 (2016)
Ferreira, Carlos Eduardo (cur) ; Liang, Zhao (cur); Digiampietri, Luciano Antonio (cur); Pimentel, Maria da Graça Campos (cur)
Unidades: IME, FFCLRP, EACH, ICMC
Assunto: CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29. . Porto Alegre: SBC. . Acesso em: 10 nov. 2024. , 2016
APA
Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29. (2016). Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29. Porto Alegre: SBC.
NLM
Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29. 2016 ;[citado 2024 nov. 10 ]
Vancouver
Congresso da Sociedade Brasileira de Computação, 36 / Concurso de Teses e Dissertações - CTD, 29. 2016 ;[citado 2024 nov. 10 ]
Trabalho de evento
Graph-based semi-supervised learning for semantic role diffusion (2016)
Carneiro, M. G; Liang, Zhao; Rosa, João Luís Garcia
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidades: FFCLRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, M. G e LIANG, Zhao e ROSA, João Luís Garcia. Graph-based semi-supervised learning for semantic role diffusion. 2016, Anais.. Porto Alegre: SBC, 2016. . Acesso em: 10 nov. 2024.
APA
Carneiro, M. G., Liang, Z., & Rosa, J. L. G. (2016). Graph-based semi-supervised learning for semantic role diffusion. In Proceedings. Porto Alegre: SBC.
NLM
Carneiro MG, Liang Z, Rosa JLG. Graph-based semi-supervised learning for semantic role diffusion. Proceedings. 2016 ;[citado 2024 nov. 10 ]
Vancouver
Carneiro MG, Liang Z, Rosa JLG. Graph-based semi-supervised learning for semantic role diffusion. Proceedings. 2016 ;[citado 2024 nov. 10 ]
Artigo de periodico
An object-based visual selection framework (2016)
Benicasa, Alcides X; Quiles, Marcos G; Silva, Thiago C; Liang, Zhao; Romero, Roseli Aparecida Francelin
Source: Neurocomputing. Unidades: FFCLRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE OBJETOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENICASA, Alcides X et al. An object-based visual selection framework. Neurocomputing, v. 180, p. 35-54, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.10.111. Acesso em: 10 nov. 2024.
APA
Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2016). An object-based visual selection framework. Neurocomputing, 180, 35-54. doi:10.1016/j.neucom.2015.10.111
NLM
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
Vancouver
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
Trabalho de evento
An object-based visual selection model combining physical features and memory (2014)
Benicasa, Alcides X; Quiles, Marcos G; Silva, Thiago C; Liang, Zhao; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENICASA, Alcides X et al. An object-based visual selection model combining physical features and memory. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.50. Acesso em: 10 nov. 2024.
APA
Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2014). An object-based visual selection model combining physical features and memory. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.50
NLM
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection model combining physical features and memory [Internet]. Proceedings. 2014 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/BRACIS.2014.50
Vancouver
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection model combining physical features and memory [Internet]. Proceedings. 2014 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/BRACIS.2014.50
Trabalho de evento
A flocking-like technique to perform semi-supervised learning (2014)
Gueleri, Roberto A; Cupertino, Thiago H; Carvalho, André Carlos Ponce de Leon Ferreira de ; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, COMPUTAÇÃO BIOINSPIRADA, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUELERI, Roberto A et al. A flocking-like technique to perform semi-supervised learning. 2014, Anais.. Piscataway: IEEE, 2014. Disponível em: https://doi.org/10.1109/IJCNN.2014.6889434. Acesso em: 10 nov. 2024.
APA
Gueleri, R. A., Cupertino, T. H., Carvalho, A. C. P. de L. F. de, & Liang, Z. (2014). A flocking-like technique to perform semi-supervised learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2014.6889434
NLM
Gueleri RA, Cupertino TH, Carvalho ACP de LF de, Liang Z. A flocking-like technique to perform semi-supervised learning [Internet]. Proceedings. 2014 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2014.6889434
Vancouver
Gueleri RA, Cupertino TH, Carvalho ACP de LF de, Liang Z. A flocking-like technique to perform semi-supervised learning [Internet]. Proceedings. 2014 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2014.6889434
Artigo de periodico
Network-based data classification: combining k-associated optimal graphs and high-level prediction (2014)
Carneiro, Murillo G; Rosa, João Luís Garcia ; Lopes, Alneu de Andrade ; Liang, Zhao
Source: Journal of the Brazilian Computer Society. Unidades: ICMC, FFCLRP
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murillo G et al. Network-based data classification: combining k-associated optimal graphs and high-level prediction. Journal of the Brazilian Computer Society, v. 20, p. 1-14, 2014Tradução . . Disponível em: https://doi.org/10.1186/1678-4804-20-14. Acesso em: 10 nov. 2024.
APA
Carneiro, M. G., Rosa, J. L. G., Lopes, A. de A., & Liang, Z. (2014). Network-based data classification: combining k-associated optimal graphs and high-level prediction. Journal of the Brazilian Computer Society, 20, 1-14. doi:10.1186/1678-4804-20-14
NLM
Carneiro MG, Rosa JLG, Lopes A de A, Liang Z. Network-based data classification: combining k-associated optimal graphs and high-level prediction [Internet]. Journal of the Brazilian Computer Society. 2014 ; 20 1-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1186/1678-4804-20-14
Vancouver
Carneiro MG, Rosa JLG, Lopes A de A, Liang Z. Network-based data classification: combining k-associated optimal graphs and high-level prediction [Internet]. Journal of the Brazilian Computer Society. 2014 ; 20 1-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1186/1678-4804-20-14
Trabalho de evento-anais periodico
Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons (2014)
Liang, Xiaoming; Liang, Zhao
Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIANG, Xiaoming e LIANG, Zhao. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.06.041. Acesso em: 10 nov. 2024. , 2014
APA
Liang, X., & Liang, Z. (2014). Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.06.041
NLM
Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
Vancouver
Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
Trabalho de evento-anais periodico
A semi-supervised classification technique based on interacting forces (2014)
Cupertino, Thiago H; Gueleri, Roberto; Liang, Zhao
Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e GUELERI, Roberto e LIANG, Zhao. A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.05.050. Acesso em: 10 nov. 2024. , 2014
APA
Cupertino, T. H., Gueleri, R., & Liang, Z. (2014). A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.05.050
NLM
Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
Vancouver
Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
Trabalho de evento-anais periodico
Regular graph construction for semi-supervised learning (2014)
Vega-Oliveros, Didier A; Berton, Lilian; Eberle, Andre Mantini; Lopes, Alneu de Andrade ; Liang, Zhao
Source: Journal of Physics : Conference Series. Conference titles: International Conference on Mathematical Modelling in Physical Sciences - IC-MSQUARE. Unidades: ICMC, FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VEGA-OLIVEROS, Didier A et al. Regular graph construction for semi-supervised learning. Journal of Physics : Conference Series. Bristol: IOP Publishing. Disponível em: https://doi.org/10.1088/1742-6596/490/1/012022. Acesso em: 10 nov. 2024. , 2014
APA
Vega-Oliveros, D. A., Berton, L., Eberle, A. M., Lopes, A. de A., & Liang, Z. (2014). Regular graph construction for semi-supervised learning. Journal of Physics : Conference Series. Bristol: IOP Publishing. doi:10.1088/1742-6596/490/1/012022
NLM
Vega-Oliveros DA, Berton L, Eberle AM, Lopes A de A, Liang Z. Regular graph construction for semi-supervised learning [Internet]. Journal of Physics : Conference Series. 2014 ; 490 012022-1-012022-4.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012022
Vancouver
Vega-Oliveros DA, Berton L, Eberle AM, Lopes A de A, Liang Z. Regular graph construction for semi-supervised learning [Internet]. Journal of Physics : Conference Series. 2014 ; 490 012022-1-012022-4.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012022
Artigo de periodico
Classification of multiple observation sets via network modularity (2013)
Cupertino, Thiago H; Silva, Thiago C; Liang, Zhao
Source: Neural Computing & Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e SILVA, Thiago C e LIANG, Zhao. Classification of multiple observation sets via network modularity. Neural Computing & Applications, v. 23, n. 7-8, p. 1923-1929, 2013Tradução . . Disponível em: https://doi.org/10.1007/s00521-012-1115-y. Acesso em: 10 nov. 2024.
APA
Cupertino, T. H., Silva, T. C., & Liang, Z. (2013). Classification of multiple observation sets via network modularity. Neural Computing & Applications, 23( 7-8), 1923-1929. doi:10.1007/s00521-012-1115-y
NLM
Cupertino TH, Silva TC, Liang Z. Classification of multiple observation sets via network modularity [Internet]. Neural Computing & Applications. 2013 ; 23( 7-8): 1923-1929.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00521-012-1115-y
Vancouver
Cupertino TH, Silva TC, Liang Z. Classification of multiple observation sets via network modularity [Internet]. Neural Computing & Applications. 2013 ; 23( 7-8): 1923-1929.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00521-012-1115-y
Artigo de periodico
Data clustering using controlled consensus in complex networks (2013)
Cupertino, Thiago H; Huertas, Jean; Liang, Zhao
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e HUERTAS, Jean e LIANG, Zhao. Data clustering using controlled consensus in complex networks. Neurocomputing, v. 118, p. 132-140, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2013.02.026. Acesso em: 10 nov. 2024.
APA
Cupertino, T. H., Huertas, J., & Liang, Z. (2013). Data clustering using controlled consensus in complex networks. Neurocomputing, 118, 132-140. doi:10.1016/j.neucom.2013.02.026
NLM
Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026
Vancouver
Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026
Trabalho de evento
Detecting and labeling representative nodes for network-based semi-supervised learning (2013)
Araújo, Bilzã; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Bilzã e LIANG, Zhao. Detecting and labeling representative nodes for network-based semi-supervised learning. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IJCNN.2013.6706948. Acesso em: 10 nov. 2024.
APA
Araújo, B., & Liang, Z. (2013). Detecting and labeling representative nodes for network-based semi-supervised learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2013.6706948
NLM
Araújo B, Liang Z. Detecting and labeling representative nodes for network-based semi-supervised learning [Internet]. Proceedings. 2013 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706948
Vancouver
Araújo B, Liang Z. Detecting and labeling representative nodes for network-based semi-supervised learning [Internet]. Proceedings. 2013 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706948
Trabalho de evento
High level data classification based on network entropy (2013)
Alves Neto, Filipe; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES NETO, Filipe e LIANG, Zhao. High level data classification based on network entropy. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IJCNN.2013.6707042. Acesso em: 10 nov. 2024.
APA
Alves Neto, F., & Liang, Z. (2013). High level data classification based on network entropy. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2013.6707042
NLM
Alves Neto F, Liang Z. High level data classification based on network entropy [Internet]. Proceedings. 2013 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2013.6707042
Vancouver
Alves Neto F, Liang Z. High level data classification based on network entropy [Internet]. Proceedings. 2013 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2013.6707042
Trabalho de evento-anais periodico
Semi-supervised learning using random walk limiting probabilities (2013)
Cupertino, Thiago Henrique; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: International Symposium on Neural Networks : Advances in Neural Networks - ISNN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago Henrique e LIANG, Zhao. Semi-supervised learning using random walk limiting probabilities. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-39068-5_48. Acesso em: 10 nov. 2024. , 2013
APA
Cupertino, T. H., & Liang, Z. (2013). Semi-supervised learning using random walk limiting probabilities. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-39068-5_48
NLM
Cupertino TH, Liang Z. Semi-supervised learning using random walk limiting probabilities [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 395-404.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_48
Vancouver
Cupertino TH, Liang Z. Semi-supervised learning using random walk limiting probabilities [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 395-404.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_48
Artigo de periodico
Gating-signal propagation by a feed-forward neural motif (2013)
Liang, Xiaoming; Yanchuk, Serhiy; Liang, Zhao
Source: Physical Review E. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIANG, Xiaoming e YANCHUK, Serhiy e LIANG, Zhao. Gating-signal propagation by a feed-forward neural motif. Physical Review E, v. 88, n. 1, p. 012910-1-012910-7, 2013Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.88.012910. Acesso em: 10 nov. 2024.
APA
Liang, X., Yanchuk, S., & Liang, Z. (2013). Gating-signal propagation by a feed-forward neural motif. Physical Review E, 88( 1), 012910-1-012910-7. doi:10.1103/PhysRevE.88.012910
NLM
Liang X, Yanchuk S, Liang Z. Gating-signal propagation by a feed-forward neural motif [Internet]. Physical Review E. 2013 ; 88( 1): 012910-1-012910-7.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1103/PhysRevE.88.012910
Vancouver
Liang X, Yanchuk S, Liang Z. Gating-signal propagation by a feed-forward neural motif [Internet]. Physical Review E. 2013 ; 88( 1): 012910-1-012910-7.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1103/PhysRevE.88.012910

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration