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Trabalho de evento
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning (2012)
Breve, Fabricio; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BREVE, Fabricio e LIANG, Zhao. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.16. Acesso em: 05 out. 2024.
APA
Breve, F., & Liang, Z. (2012). Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.16
NLM
Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.16
Vancouver
Breve F, Liang Z. Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.16
Trabalho de evento
Firing activity induced by nonidentical signal phases in two coupled excitable neurons (2012)
Xiaoming, Liang; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XIAOMING, Liang e LIANG, Zhao. Firing activity induced by nonidentical signal phases in two coupled excitable neurons. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.18. Acesso em: 05 out. 2024.
APA
Xiaoming, L., & Liang, Z. (2012). Firing activity induced by nonidentical signal phases in two coupled excitable neurons. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.18
NLM
Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.18
Vancouver
Xiaoming L, Liang Z. Firing activity induced by nonidentical signal phases in two coupled excitable neurons [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.18
Trabalho de evento
Using interacting forces to perform semi-supervised learning (2012)
Cupertino, Thiago H; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e LIANG, Zhao. Using interacting forces to perform semi-supervised learning. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.24. Acesso em: 05 out. 2024.
APA
Cupertino, T. H., & Liang, Z. (2012). Using interacting forces to perform semi-supervised learning. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.24
NLM
Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.24
Vancouver
Cupertino TH, Liang Z. Using interacting forces to perform semi-supervised learning [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.24
Trabalho de evento
An object-based visual selection model with bottom-up and top-down modulations (2012)
Benicasa, Alcides X; Quiles, Marcos G; Liang, Zhao; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
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 with bottom-up and top-down modulations. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.48. Acesso em: 05 out. 2024.
APA
Benicasa, A. X., Quiles, M. G., Liang, Z., & Romero, R. A. F. (2012). An object-based visual selection model with bottom-up and top-down modulations. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.48
NLM
Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.48
Vancouver
Benicasa AX, Quiles MG, Liang Z, Romero RAF. An object-based visual selection model with bottom-up and top-down modulations [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.48
Trabalho de evento
Robustness analysis of network-based semi-supervised learning algorithms (2012)
Araújo, Bilzã; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Bilzã e LIANG, Zhao. Robustness analysis of network-based semi-supervised learning algorithms. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.47. Acesso em: 05 out. 2024.
APA
Araújo, B., & Liang, Z. (2012). Robustness analysis of network-based semi-supervised learning algorithms. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.47
NLM
Araújo B, Liang Z. Robustness analysis of network-based semi-supervised learning algorithms [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.47
Vancouver
Araújo B, Liang Z. Robustness analysis of network-based semi-supervised learning algorithms [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.47
Trabalho de evento
An energy exchanging mechanism for data clustering (2012)
Gueleri, Roberto Alves; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUELERI, Roberto Alves e LIANG, Zhao. An energy exchanging mechanism for data clustering. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.34. Acesso em: 05 out. 2024.
APA
Gueleri, R. A., & Liang, Z. (2012). An energy exchanging mechanism for data clustering. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.34
NLM
Gueleri RA, Liang Z. An energy exchanging mechanism for data clustering [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.34
Vancouver
Gueleri RA, Liang Z. An energy exchanging mechanism for data clustering [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.34
Trabalho de evento
Using Katz centrality to classify multiple pattern transformations (2012)
Cupertino, Thiago H; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUPERTINO, Thiago H e LIANG, Zhao. Using Katz centrality to classify multiple pattern transformations. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.23. Acesso em: 05 out. 2024.
APA
Cupertino, T. H., & Liang, Z. (2012). Using Katz centrality to classify multiple pattern transformations. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.23
NLM
Cupertino TH, Liang Z. Using Katz centrality to classify multiple pattern transformations [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.23
Vancouver
Cupertino TH, Liang Z. Using Katz centrality to classify multiple pattern transformations [Internet]. Proceedings. 2012 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/SBRN.2012.23

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