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Artigo de periodico
Attribute-based decision graphs: a framework for multiclass data classification (2017)
Bertini Júnior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Neural Networks. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
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ABNT
BERTINI JÚNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Attribute-based decision graphs: a framework for multiclass data classification. Neural Networks, v. 85, p. 69-84, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2016.09.008. Acesso em: 06 nov. 2024.
APA
Bertini Júnior, J. R., Nicoletti, M. do C., & Liang, Z. (2017). Attribute-based decision graphs: a framework for multiclass data classification. Neural Networks, 85, 69-84. doi:10.1016/j.neunet.2016.09.008
NLM
Bertini Júnior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs: a framework for multiclass data classification [Internet]. Neural Networks. 2017 ; 85 69-84.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.neunet.2016.09.008
Vancouver
Bertini Júnior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs: a framework for multiclass data classification [Internet]. Neural Networks. 2017 ; 85 69-84.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.neunet.2016.09.008
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: 06 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. 06 ] 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. 06 ] 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
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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: 06 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. 06 ] 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. 06 ] 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: 06 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. 06 ] 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. 06 ] 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: 06 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. 06 ] 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. 06 ] Available from: https://doi.org/10.1103/PhysRevE.88.012910
Trabalho de evento
Computer-aided music composition with LSTM neural network and chaotic inspiration (2013)
Coca, Andrés E.; Corrêa, Débora C.; 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
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COCA, Andrés E. e CORRÊA, Débora C. e LIANG, Zhao. Computer-aided music composition with LSTM neural network and chaotic inspiration. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IJCNN.2013.6706747. Acesso em: 06 nov. 2024.
APA
Coca, A. E., Corrêa, D. C., & Liang, Z. (2013). Computer-aided music composition with LSTM neural network and chaotic inspiration. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2013.6706747
NLM
Coca AE, Corrêa DC, Liang Z. Computer-aided music composition with LSTM neural network and chaotic inspiration [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706747
Vancouver
Coca AE, Corrêa DC, Liang Z. Computer-aided music composition with LSTM neural network and chaotic inspiration [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706747
Trabalho de evento
Classificação de alto nível baseada em entropia da rede (2013)
Alves Neto, Filipe; Liang, Zhao
Source: Anais. Conference titles: Congresso da Sociedade Brasileira de Computação - CSBC. 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
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ALVES NETO, Filipe e LIANG, Zhao. Classificação de alto nível baseada em entropia da rede. 2013, Anais.. Porto Alegre: SBC, 2013. Disponível em: http://www.ic.ufal.br/csbc2013/noticias/anais. Acesso em: 06 nov. 2024.
APA
Alves Neto, F., & Liang, Z. (2013). Classificação de alto nível baseada em entropia da rede. In Anais. Porto Alegre: SBC. Recuperado de http://www.ic.ufal.br/csbc2013/noticias/anais
NLM
Alves Neto F, Liang Z. Classificação de alto nível baseada em entropia da rede [Internet]. Anais. 2013 ;[citado 2024 nov. 06 ] Available from: http://www.ic.ufal.br/csbc2013/noticias/anais
Vancouver
Alves Neto F, Liang Z. Classificação de alto nível baseada em entropia da rede [Internet]. Anais. 2013 ;[citado 2024 nov. 06 ] Available from: http://www.ic.ufal.br/csbc2013/noticias/anais
Trabalho de evento
Dimensionality reduction with the k-associated optimal graph applied to image classification (2013)
Cupertino, Thiago H; Carneiro, Murillo G; Liang, Zhao
Source: Proceedings. Conference titles: IEEE International Conference on Imaging Systems and Techniques - IST. 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 H e CARNEIRO, Murillo G e LIANG, Zhao. Dimensionality reduction with the k-associated optimal graph applied to image classification. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IST.2013.6729723. Acesso em: 06 nov. 2024.
APA
Cupertino, T. H., Carneiro, M. G., & Liang, Z. (2013). Dimensionality reduction with the k-associated optimal graph applied to image classification. In Proceedings. Piscataway: IEEE. doi:10.1109/IST.2013.6729723
NLM
Cupertino TH, Carneiro MG, Liang Z. Dimensionality reduction with the k-associated optimal graph applied to image classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IST.2013.6729723
Vancouver
Cupertino TH, Carneiro MG, Liang Z. Dimensionality reduction with the k-associated optimal graph applied to image classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IST.2013.6729723
Trabalho de evento-anais periodico
Bias-guided random walk for network-based data classification (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: FFCLRP
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. Bias-guided random walk for network-based data classification. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-39068-5_46. Acesso em: 06 nov. 2024. , 2013
APA
Cupertino, T. H., & Liang, Z. (2013). Bias-guided random walk for network-based data classification. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-39068-5_46
NLM
Cupertino TH, Liang Z. Bias-guided random walk for network-based data classification [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 375-384.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_46
Vancouver
Cupertino TH, Liang Z. Bias-guided random walk for network-based data classification [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 375-384.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_46
Trabalho de evento-anais periodico
Top-down biasing and modulation for object-based visual attention (2013)
Benicasa, Alcides X; Quiles, Marcos G; Liang, Zhao; Romero, Roseli Aparecida Francelin
Source: Lecture Notes on Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. 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
BENICASA, Alcides X et al. Top-down biasing and modulation for object-based visual attention. Lecture Notes on Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-42051-1_41. Acesso em: 06 nov. 2024. , 2013
APA
Benicasa, A. X., Quiles, M. G., Liang, Z., & Romero, R. A. F. (2013). Top-down biasing and modulation for object-based visual attention. Lecture Notes on Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-42051-1_41
NLM
Benicasa AX, Quiles MG, Liang Z, Romero RAF. Top-down biasing and modulation for object-based visual attention [Internet]. Lecture Notes on Computer Science. 2013 ; 8228 325-332.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-42051-1_41
Vancouver
Benicasa AX, Quiles MG, Liang Z, Romero RAF. Top-down biasing and modulation for object-based visual attention [Internet]. Lecture Notes on Computer Science. 2013 ; 8228 325-332.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-42051-1_41
Trabalho de evento
Ensemble of complete P-partite graph classifiers for non-stationary environments (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. 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
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Ensemble of complete P-partite graph classifiers for non-stationary environments. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557779. Acesso em: 06 nov. 2024.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Ensemble of complete P-partite graph classifiers for non-stationary environments. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557779
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Trabalho de evento
Attribute-based decision graphs for multiclass data classification (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. 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
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Attribute-based decision graphs for multiclass data classification. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557776. Acesso em: 06 nov. 2024.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Attribute-based decision graphs for multiclass data classification. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557776
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/CEC.2013.6557776
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/CEC.2013.6557776
Trabalho de evento
Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix (2013)
Sousa, Fabiano Berardo de; 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
SOUSA, Fabiano Berardo de e LIANG, Zhao. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IJCNN.2013.6706846. Acesso em: 06 nov. 2024.
APA
Sousa, F. B. de, & Liang, Z. (2013). Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2013.6706846
NLM
Sousa FB de, Liang Z. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706846
Vancouver
Sousa FB de, Liang Z. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706846
Trabalho de evento
A network-based semi-supervised outlier detection technique using particle competition and cooperation (2013)
Zamoner, Fabio Willian; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. 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
ZAMONER, Fabio Willian e LIANG, Zhao. A network-based semi-supervised outlier detection technique using particle competition and cooperation. 2013, Anais.. Los Alamitos: Conference Publishing Services, 2013. Disponível em: https://doi.org/10.1109/BRACIS.2013.45. Acesso em: 06 nov. 2024.
APA
Zamoner, F. W., & Liang, Z. (2013). A network-based semi-supervised outlier detection technique using particle competition and cooperation. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2013.45
NLM
Zamoner FW, Liang Z. A network-based semi-supervised outlier detection technique using particle competition and cooperation [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/BRACIS.2013.45
Vancouver
Zamoner FW, Liang Z. A network-based semi-supervised outlier detection technique using particle competition and cooperation [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/BRACIS.2013.45
Trabalho de evento
Handwritten digits recognition using a high level network-based approach (2013)
Silva, Thiago Christiano; Liang, Zhao
Source: Proceedings. Conference titles: IEEE International Conference on Imaging Systems and Techniques - IST. 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
SILVA, Thiago Christiano e LIANG, Zhao. Handwritten digits recognition using a high level network-based approach. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IST.2013.6729700. Acesso em: 06 nov. 2024.
APA
Silva, T. C., & Liang, Z. (2013). Handwritten digits recognition using a high level network-based approach. In Proceedings. Piscataway: IEEE. doi:10.1109/IST.2013.6729700
NLM
Silva TC, Liang Z. Handwritten digits recognition using a high level network-based approach [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IST.2013.6729700
Vancouver
Silva TC, Liang Z. Handwritten digits recognition using a high level network-based approach [Internet]. Proceedings. 2013 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IST.2013.6729700
Artigo de periodico
Synthetic aperture sonar images segmentation using dynamical modeling analysis (2013)
Conti, Luis Américo; Baptista, Murilo da Silva
Source: Revista Brasileira de Geofísica. Unidade: EACH
Subjects: SONAR, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS, DINÂMICA SIMBÓLICA, SEDIMENTOLOGIA MARINHA, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, SENSORIAMENTO REMOTO, GEOMORFOLOGIA LITORÂNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTI, Luis Américo e BAPTISTA, Murilo da Silva. Synthetic aperture sonar images segmentation using dynamical modeling analysis. Revista Brasileira de Geofísica, v. 31, n. 3, p. 455-462, 2013Tradução . . Disponível em: http://sys2.sbgf.org.br/revista/index.php/rbgf/article/view/315. Acesso em: 06 nov. 2024.
APA
Conti, L. A., & Baptista, M. da S. (2013). Synthetic aperture sonar images segmentation using dynamical modeling analysis. Revista Brasileira de Geofísica, 31( 3), 455-462. Recuperado de http://sys2.sbgf.org.br/revista/index.php/rbgf/article/view/315
NLM
Conti LA, Baptista M da S. Synthetic aperture sonar images segmentation using dynamical modeling analysis [Internet]. Revista Brasileira de Geofísica. 2013 ; 31( 3): 455-462.[citado 2024 nov. 06 ] Available from: http://sys2.sbgf.org.br/revista/index.php/rbgf/article/view/315
Vancouver
Conti LA, Baptista M da S. Synthetic aperture sonar images segmentation using dynamical modeling analysis [Internet]. Revista Brasileira de Geofísica. 2013 ; 31( 3): 455-462.[citado 2024 nov. 06 ] Available from: http://sys2.sbgf.org.br/revista/index.php/rbgf/article/view/315
Trabalho de evento-anais periodico
A purity measure based transductive learning algorithm (2013)
Bertini Junior, João Roberto; 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
BERTINI JUNIOR, João Roberto e LIANG, Zhao. A purity measure based transductive learning algorithm. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-39068-5_49. Acesso em: 06 nov. 2024. , 2013
APA
Bertini Junior, J. R., & Liang, Z. (2013). A purity measure based transductive learning algorithm. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-39068-5_49
NLM
Bertini Junior JR, Liang Z. A purity measure based transductive learning algorithm [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 405-412.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_49
Vancouver
Bertini Junior JR, Liang Z. A purity measure based transductive learning algorithm [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 405-412.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_49
Trabalho de evento
Particle competition and cooperation in networks for semi-supervised learning with concept drift (2012)
Breve, Fabricio; Liang, Zhao
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
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ABNT
BREVE, Fabricio e LIANG, Zhao. Particle competition and cooperation in networks for semi-supervised learning with concept drift. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252617. Acesso em: 06 nov. 2024.
APA
Breve, F., & Liang, Z. (2012). Particle competition and cooperation in networks for semi-supervised learning with concept drift. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252617
NLM
Breve F, Liang Z. Particle competition and cooperation in networks for semi-supervised learning with concept drift [Internet]. Proceedings. 2012 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252617
Vancouver
Breve F, Liang Z. Particle competition and cooperation in networks for semi-supervised learning with concept drift [Internet]. Proceedings. 2012 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252617
Trabalho de evento
QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes (2012)
Ferreira, Leonardo N; Pinto, A. R; Liang, Zhao
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. 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
FERREIRA, Leonardo N e PINTO, A. R e LIANG, Zhao. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252477. Acesso em: 06 nov. 2024.
APA
Ferreira, L. N., Pinto, A. R., & Liang, Z. (2012). QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252477
NLM
Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477
Vancouver
Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477
Trabalho de evento-anais periodico
Preventing error propagation in semi-supervised learning (2012)
Silva, Thiago C; 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
SILVA, Thiago C e LIANG, Zhao. Preventing error propagation in semi-supervised learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31346-2. Acesso em: 06 nov. 2024. , 2012
APA
Silva, T. C., & Liang, Z. (2012). Preventing error propagation in semi-supervised learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31346-2
NLM
Silva TC, Liang Z. Preventing error propagation in semi-supervised learning [Internet]. Lecture Notes in Computer Science. 2012 ; 7367 565-572.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-31346-2
Vancouver
Silva TC, Liang Z. Preventing error propagation in semi-supervised learning [Internet]. Lecture Notes in Computer Science. 2012 ; 7367 565-572.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-642-31346-2

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