ReP USP - Resultado da busca

Artigo de periodico
Network-based supervised data classification by using an heuristic of ease of access (2015)
Cupertino, Thiago H.; Zhao, Liang; Carneiro, Murillo G.
Source: Neurocomputing. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H. e ZHAO, Liang e CARNEIRO, Murillo G. Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, v. 149, p. 86-92, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.03.071. Acesso em: 12 nov. 2025.
APA
Cupertino, T. H., Zhao, L., & Carneiro, M. G. (2015). Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, 149, 86-92. doi:10.1016/j.neucom.2014.03.071
NLM
Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
Vancouver
Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
Artigo de periodico
Effect of label noise in the complexity of classification problems (2015)
Garcia, Luís P. F; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana C
Source: Neurocomputing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Luís P. F e CARVALHO, André Carlos Ponce de Leon Ferreira de e LORENA, Ana C. Effect of label noise in the complexity of classification problems. Neurocomputing, v. 160, p. 108-119, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.10.085. Acesso em: 12 nov. 2025.
APA
Garcia, L. P. F., Carvalho, A. C. P. de L. F. de, & Lorena, A. C. (2015). Effect of label noise in the complexity of classification problems. Neurocomputing, 160, 108-119. doi:10.1016/j.neucom.2014.10.085
NLM
Garcia LPF, Carvalho ACP de LF de, Lorena AC. Effect of label noise in the complexity of classification problems [Internet]. Neurocomputing. 2015 ; 160 108-119.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.10.085
Vancouver
Garcia LPF, Carvalho ACP de LF de, Lorena AC. Effect of label noise in the complexity of classification problems [Internet]. Neurocomputing. 2015 ; 160 108-119.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.10.085
Artigo de periodico
Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings (2015)
Matias, Paulo; Slaets, Jan Frans Willem; Pinto, Reynaldo Daniel
Source: Neurocomputing. Unidade: IFSC
Subjects: NEUROCIÊNCIAS (SISTEMAS;PESQUISA), BIOFÍSICA, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Paulo e SLAETS, Jan Frans Willem e PINTO, Reynaldo Daniel. Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings. Neurocomputing, v. 153, p. 191-198, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.11.037. Acesso em: 12 nov. 2025.
APA
Matias, P., Slaets, J. F. W., & Pinto, R. D. (2015). Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings. Neurocomputing, 153, 191-198. doi:10.1016/j.neucom.2014.11.037
NLM
Matias P, Slaets JFW, Pinto RD. Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings [Internet]. Neurocomputing. 2015 ; 153 191-198.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.037
Vancouver
Matias P, Slaets JFW, Pinto RD. Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings [Internet]. Neurocomputing. 2015 ; 153 191-198.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.037
Artigo de periodico
LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces (2015)
Fadel, Samuel G; Fatore, Francisco M; Duarte, Felipe S. L. G; Paulovich, Fernando Vieira
Source: Neurocomputing. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FADEL, Samuel G et al. LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces. Neurocomputing, v. fe 2015, p. 546-556, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.071. Acesso em: 12 nov. 2025.
APA
Fadel, S. G., Fatore, F. M., Duarte, F. S. L. G., & Paulovich, F. V. (2015). LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces. Neurocomputing, fe 2015, 546-556. doi:10.1016/j.neucom.2014.07.071
NLM
Fadel SG, Fatore FM, Duarte FSLG, Paulovich FV. LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces [Internet]. Neurocomputing. 2015 ; fe 2015 546-556.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.071
Vancouver
Fadel SG, Fatore FM, Duarte FSLG, Paulovich FV. LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces [Internet]. Neurocomputing. 2015 ; fe 2015 546-556.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.071
Artigo de periodico
Projection inspector: assessment and synthesis of multidimensional projections (2015)
Pagliosa, Paulo; Paulovich, Fernando Vieira ; Minghim, Rosane ; Levkowitz, Haim; Nonato, Luis Gustavo
Source: Neurocomputing. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAGLIOSA, Paulo et al. Projection inspector: assessment and synthesis of multidimensional projections. Neurocomputing, v. fe 2015, p. 599-610, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.072. Acesso em: 12 nov. 2025.
APA
Pagliosa, P., Paulovich, F. V., Minghim, R., Levkowitz, H., & Nonato, L. G. (2015). Projection inspector: assessment and synthesis of multidimensional projections. Neurocomputing, fe 2015, 599-610. doi:10.1016/j.neucom.2014.07.072
NLM
Pagliosa P, Paulovich FV, Minghim R, Levkowitz H, Nonato LG. Projection inspector: assessment and synthesis of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 599-610.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.072
Vancouver
Pagliosa P, Paulovich FV, Minghim R, Levkowitz H, Nonato LG. Projection inspector: assessment and synthesis of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 599-610.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.072
Artigo de periodico
A framework for classification of non-linear loads in smart grids using artificial neural networks and multi-agent systems (2015)
Saraiva, Filipe de Oliveira; Bernardes, Wellington Maycon Santos; Asada, Eduardo Nobuhiro
Source: Neurocomputing. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, SISTEMAS MULTIAGENTES, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Filipe de Oliveira e BERNARDES, Wellington Maycon Santos e ASADA, Eduardo Nobuhiro. A framework for classification of non-linear loads in smart grids using artificial neural networks and multi-agent systems. Neurocomputing, v. 170, p. 328-338, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.02.090. Acesso em: 12 nov. 2025.
APA
Saraiva, F. de O., Bernardes, W. M. S., & Asada, E. N. (2015). A framework for classification of non-linear loads in smart grids using artificial neural networks and multi-agent systems. Neurocomputing, 170, 328-338. doi:10.1016/j.neucom.2015.02.090
NLM
Saraiva F de O, Bernardes WMS, Asada EN. A framework for classification of non-linear loads in smart grids using artificial neural networks and multi-agent systems [Internet]. Neurocomputing. 2015 ; 170 328-338.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.090
Vancouver
Saraiva F de O, Bernardes WMS, Asada EN. A framework for classification of non-linear loads in smart grids using artificial neural networks and multi-agent systems [Internet]. Neurocomputing. 2015 ; 170 328-338.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.090
Artigo de periodico
A complex network approach for dynamic texture recognition (2015)
Gonçalves, Wesley Nunes; Machado, Bruno Brandoli; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: TEXTURA (ANÁLISE), REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Wesley Nunes e MACHADO, Bruno Brandoli e BRUNO, Odemir Martinez. A complex network approach for dynamic texture recognition. Neurocomputing, v. 153, p. 211-220, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.11.034. Acesso em: 12 nov. 2025.
APA
Gonçalves, W. N., Machado, B. B., & Bruno, O. M. (2015). A complex network approach for dynamic texture recognition. Neurocomputing, 153, 211-220. doi:10.1016/j.neucom.2014.11.034
NLM
Gonçalves WN, Machado BB, Bruno OM. A complex network approach for dynamic texture recognition [Internet]. Neurocomputing. 2015 ; 153 211-220.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.034
Vancouver
Gonçalves WN, Machado BB, Bruno OM. A complex network approach for dynamic texture recognition [Internet]. Neurocomputing. 2015 ; 153 211-220.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.034
Artigo de periodico
Comparison of distributed evolutionary k-means clustering algorithms (2015)
Naldi, M. C; Campello, Ricardo José Gabrielli Barreto
Source: Neurocomputing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NALDI, M. C e CAMPELLO, Ricardo José Gabrielli Barreto. Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing, v. 163, p. 78-93, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.083. Acesso em: 12 nov. 2025.
APA
Naldi, M. C., & Campello, R. J. G. B. (2015). Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing, 163, 78-93. doi:10.1016/j.neucom.2014.07.083
NLM
Naldi MC, Campello RJGB. Comparison of distributed evolutionary k-means clustering algorithms [Internet]. Neurocomputing. 2015 ; 163 78-93.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.083
Vancouver
Naldi MC, Campello RJGB. Comparison of distributed evolutionary k-means clustering algorithms [Internet]. Neurocomputing. 2015 ; 163 78-93.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.083
Artigo de periodico
Improved texture image classification through the use of a corrosion-inspired cellular automaton (2015)
Silva, Núbia Rosa da; Van der Weeën, Pieter; Baets, Bernard De; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: NEUROCIÊNCIAS (SISTEMAS;PESQUISA), ESTIMULAÇÃO VISUAL (REGENERAÇÃO), TEMPO-REAL (CONTROLE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing, v. 149, p. 1560-1572, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.08.036. Acesso em: 12 nov. 2025.
APA
Silva, N. R. da, Van der Weeën, P., Baets, B. D., & Bruno, O. M. (2015). Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing, 149, 1560-1572. doi:10.1016/j.neucom.2014.08.036
NLM
Silva NR da, Van der Weeën P, Baets BD, Bruno OM. Improved texture image classification through the use of a corrosion-inspired cellular automaton [Internet]. Neurocomputing. 2015 ; 149 1560-1572.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.036
Vancouver
Silva NR da, Van der Weeën P, Baets BD, Bruno OM. Improved texture image classification through the use of a corrosion-inspired cellular automaton [Internet]. Neurocomputing. 2015 ; 149 1560-1572.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.036
Artigo de periodico
Particle competition and cooperation for semi-supervised learning with label noise (2015)
Breve, Fabricio A; Liang, Zhao; Quiles, Marcos G
Source: Neurocomputing. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BREVE, Fabricio A e LIANG, Zhao e QUILES, Marcos G. Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing, v. 160, p. 63-72, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.08.082. Acesso em: 12 nov. 2025.
APA
Breve, F. A., Liang, Z., & Quiles, M. G. (2015). Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing, 160, 63-72. doi:10.1016/j.neucom.2014.08.082
NLM
Breve FA, Liang Z, Quiles MG. Particle competition and cooperation for semi-supervised learning with label noise [Internet]. Neurocomputing. 2015 ; 160 63-72.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.082
Vancouver
Breve FA, Liang Z, Quiles MG. Particle competition and cooperation for semi-supervised learning with label noise [Internet]. Neurocomputing. 2015 ; 160 63-72.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.082
Artigo de periodico-carta/editorial
Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems (2015)
Quintián, Héctor; Corchado, Emilio; Abraham, Ajith; Carvalho, André Carlos Ponce de Leon Ferreira de ; Wozniak, Michal; Snásel, Václav; Sung-Bae, Cho
Source: Neurocomputing. Conference titles: International Conference on Hybrid Artificial Intelligent Systems - HAIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUINTIÁN, Héctor et al. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2015.02.077. Acesso em: 12 nov. 2025. , 2015
APA
Quintián, H., Corchado, E., Abraham, A., Carvalho, A. C. P. de L. F. de, Wozniak, M., Snásel, V., & Sung-Bae, C. (2015). Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2015.02.077
NLM
Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077
Vancouver
Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077
Artigo de periodico
Improving the kernel regularized least squares method for small-sample regression (2015)
Braga, Igor; Monard, Maria Carolina
Source: Neurocomputing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAGA, Igor e MONARD, Maria Carolina. Improving the kernel regularized least squares method for small-sample regression. Neurocomputing, v. 163, p. 106-114, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.12.097. Acesso em: 12 nov. 2025.
APA
Braga, I., & Monard, M. C. (2015). Improving the kernel regularized least squares method for small-sample regression. Neurocomputing, 163, 106-114. doi:10.1016/j.neucom.2014.12.097
NLM
Braga I, Monard MC. Improving the kernel regularized least squares method for small-sample regression [Internet]. Neurocomputing. 2015 ; 163 106-114.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.12.097
Vancouver
Braga I, Monard MC. Improving the kernel regularized least squares method for small-sample regression [Internet]. Neurocomputing. 2015 ; 163 106-114.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.12.097
Artigo de periodico
Graph-based measures to assist user assessment of multidimensional projections (2015)
Motta, Robson; Minghim, Rosane ; Lopes, Alneu de Andrade ; Oliveira, Maria Cristina Ferreira de
Source: Neurocomputing. 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
MOTTA, Robson et al. Graph-based measures to assist user assessment of multidimensional projections. Neurocomputing, v. fe 2015, p. 583-598, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.09.063. Acesso em: 12 nov. 2025.
APA
Motta, R., Minghim, R., Lopes, A. de A., & Oliveira, M. C. F. de. (2015). Graph-based measures to assist user assessment of multidimensional projections. Neurocomputing, fe 2015, 583-598. doi:10.1016/j.neucom.2014.09.063
NLM
Motta R, Minghim R, Lopes A de A, Oliveira MCF de. Graph-based measures to assist user assessment of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 583-598.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.09.063
Vancouver
Motta R, Minghim R, Lopes A de A, Oliveira MCF de. Graph-based measures to assist user assessment of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 583-598.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.09.063
Artigo de periodico
A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets (2015)
Espezua, Soledad; Villanueva, Edwin; Maciel, Carlos Dias ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Neurocomputing. Unidades: EESC, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE SINAIS, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPEZUA, Soledad et al. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing, v. fe 2015, p. 767-776, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.057. Acesso em: 12 nov. 2025.
APA
Espezua, S., Villanueva, E., Maciel, C. D., & Carvalho, A. C. P. de L. F. de. (2015). A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing, fe 2015, 767-776. doi:10.1016/j.neucom.2014.07.057
NLM
Espezua S, Villanueva E, Maciel CD, Carvalho ACP de LF de. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets [Internet]. Neurocomputing. 2015 ; fe 2015 767-776.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.057
Vancouver
Espezua S, Villanueva E, Maciel CD, Carvalho ACP de LF de. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets [Internet]. Neurocomputing. 2015 ; fe 2015 767-776.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.057

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