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Trabalho de evento
Classification of evolving data streams with infinitely delayed labels (2015)
Souza, Vinícius M. A; Silva, Diego Furtado ; Batista, Gustavo Enrique de Almeida Prado Alves; Gama, João
Source: Proceedings. Conference titles: IEEE International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
SOUZA, Vinícius M. A et al. Classification of evolving data streams with infinitely delayed labels. 2015, Anais.. Los Alamitos: CPS, 2015. Disponível em: https://doi.org/10.1109/ICMLA.2015.174. Acesso em: 16 nov. 2024.
APA
Souza, V. M. A., Silva, D. F., Batista, G. E. de A. P. A., & Gama, J. (2015). Classification of evolving data streams with infinitely delayed labels. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2015.174
NLM
Souza VMA, Silva DF, Batista GE de APA, Gama J. Classification of evolving data streams with infinitely delayed labels [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2015.174
Vancouver
Souza VMA, Silva DF, Batista GE de APA, Gama J. Classification of evolving data streams with infinitely delayed labels [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2015.174
Trabalho de evento
A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction (2015)
Parmezan, Antonio Rafael Sabino; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: IEEE International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
PARMEZAN, Antonio Rafael Sabino e BATISTA, Gustavo Enrique de Almeida Prado Alves. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction. 2015, Anais.. Los Alamitos: CPS, 2015. Disponível em: https://doi.org/10.1109/ICMLA.2015.174. Acesso em: 16 nov. 2024.
APA
Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2015). A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2015.174
NLM
Parmezan ARS, Batista GE de APA. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2015.174
Vancouver
Parmezan ARS, Batista GE de APA. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2015.174
Trabalho de evento
Post-processing association rules using networks and transductive learning (2014)
Padua, Renan de; Rezende, Solange Oliveira ; Carvalho, Veronica Oliveira de
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
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ABNT
PADUA, Renan de e REZENDE, Solange Oliveira e CARVALHO, Veronica Oliveira de. Post-processing association rules using networks and transductive learning. 2014, Anais.. Los Alamitos: CPS, 2014. Disponível em: https://doi.org/10.1109/ICMLA.2014.57. Acesso em: 16 nov. 2024.
APA
Padua, R. de, Rezende, S. O., & Carvalho, V. O. de. (2014). Post-processing association rules using networks and transductive learning. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2014.57
NLM
Padua R de, Rezende SO, Carvalho VO de. Post-processing association rules using networks and transductive learning [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2014.57
Vancouver
Padua R de, Rezende SO, Carvalho VO de. Post-processing association rules using networks and transductive learning [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2014.57
Trabalho de evento
Adding diversity to rank examples in anytime nearest neighbor classification (2014)
Lemes, Cristiano Inácio; Silva, Diego Furtado ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
LEMES, Cristiano Inácio e SILVA, Diego Furtado e BATISTA, Gustavo Enrique de Almeida Prado Alves. Adding diversity to rank examples in anytime nearest neighbor classification. 2014, Anais.. Los Alamitos: CPS, 2014. Disponível em: https://doi.org/10.1109/ICMLA.2014.26. Acesso em: 16 nov. 2024.
APA
Lemes, C. I., Silva, D. F., & Batista, G. E. de A. P. A. (2014). Adding diversity to rank examples in anytime nearest neighbor classification. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2014.26
NLM
Lemes CI, Silva DF, Batista GE de APA. Adding diversity to rank examples in anytime nearest neighbor classification [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2014.26
Vancouver
Lemes CI, Silva DF, Batista GE de APA. Adding diversity to rank examples in anytime nearest neighbor classification [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA.2014.26
Trabalho de evento
KS-SIFT: a keyframe extraction method based on local features (2014)
Barbieri, Tamires Tessarolli de Souza; Goularte, Rudinei
Source: Proceedings. Conference titles: IEEE International Symposium on Multimedia - ISM. Unidade: ICMC
Subjects: WORLD WIDE WEB, SISTEMAS MULTIMÍDIA
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ABNT
BARBIERI, Tamires Tessarolli de Souza e GOULARTE, Rudinei. KS-SIFT: a keyframe extraction method based on local features. 2014, Anais.. Los Alamitos: CPS, 2014. Disponível em: https://doi.org/10.1109/ISM.2014.52. Acesso em: 16 nov. 2024.
APA
Barbieri, T. T. de S., & Goularte, R. (2014). KS-SIFT: a keyframe extraction method based on local features. In Proceedings. Los Alamitos: CPS. doi:10.1109/ISM.2014.52
NLM
Barbieri TT de S, Goularte R. KS-SIFT: a keyframe extraction method based on local features [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ISM.2014.52
Vancouver
Barbieri TT de S, Goularte R. KS-SIFT: a keyframe extraction method based on local features [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ISM.2014.52
Trabalho de evento
Combining information from distributed evolutionary k-means (2012)
Naldi, Murilo Coelho; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
NALDI, Murilo Coelho e CAMPELLO, Ricardo José Gabrielli Barreto. Combining information from distributed evolutionary k-means. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.11. Acesso em: 16 nov. 2024.
APA
Naldi, M. C., & Campello, R. J. G. B. (2012). Combining information from distributed evolutionary k-means. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.11
NLM
Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.11
Vancouver
Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.11
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
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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.16
Trabalho de evento
Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis (2012)
Miranda, Péricles B. C; Prudêncio, Ricardo B. C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
MIRANDA, Péricles B. C et al. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.12. Acesso em: 16 nov. 2024.
APA
Miranda, P. B. C., Prudêncio, R. B. C., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.12
NLM
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.12
Vancouver
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. Combining Meta-Learning with Multi-Objective Particle Swarm algorithms for SVM parameter selection: an experimental analysis [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.12
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
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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] 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
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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.24
Trabalho de evento
Meta-learning for periodic algorithm selection in time-changing data (2012)
Rossi, André Luis Debiaso; Carvalho, André Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
ROSSI, André Luis Debiaso e CARVALHO, André Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Meta-learning for periodic algorithm selection in time-changing data. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.50. Acesso em: 16 nov. 2024.
APA
Rossi, A. L. D., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). Meta-learning for periodic algorithm selection in time-changing data. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.50
NLM
Rossi ALD, Carvalho ACP de LF de, Soares C. Meta-learning for periodic algorithm selection in time-changing data [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.50
Vancouver
Rossi ALD, Carvalho ACP de LF de, Soares C. Meta-learning for periodic algorithm selection in time-changing data [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.50
Trabalho de evento
Imitation of facial expressions for a virtual robotic head (2012)
Santos, Valéria de Carvalho; Romero, Roseli Aparecida Francelin ; Coca, Sergio R Díaz-Miguel
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
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ABNT
SANTOS, Valéria de Carvalho e ROMERO, Roseli Aparecida Francelin e COCA, Sergio R Díaz-Miguel. Imitation of facial expressions for a virtual robotic head. 2012, Anais.. Piscataway: CPS, 2012. . Acesso em: 16 nov. 2024.
APA
Santos, V. de C., Romero, R. A. F., & Coca, S. R. D. -M. (2012). Imitation of facial expressions for a virtual robotic head. In Proceedings. Piscataway: CPS.
NLM
Santos V de C, Romero RAF, Coca SRD-M. Imitation of facial expressions for a virtual robotic head. Proceedings. 2012 ;[citado 2024 nov. 16 ]
Vancouver
Santos V de C, Romero RAF, Coca SRD-M. Imitation of facial expressions for a virtual robotic head. Proceedings. 2012 ;[citado 2024 nov. 16 ]
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
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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.48
Trabalho de evento
A semi-supervised approach to estimate the number of clusters per class (2012)
Sestaro, Davidson M; Covões, Thiago F; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
SESTARO, Davidson M e COVÕES, Thiago F e HRUSCHKA, Eduardo Raul. A semi-supervised approach to estimate the number of clusters per class. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.31. Acesso em: 16 nov. 2024.
APA
Sestaro, D. M., Covões, T. F., & Hruschka, E. R. (2012). A semi-supervised approach to estimate the number of clusters per class. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.31
NLM
Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.31
Vancouver
Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.31
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
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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.47
Trabalho de evento
A density-based clustering approach for behavior change detection in data streams (2012)
Vallim, Rosane M. M; Andrade Filho, Jose A; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gama, João
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALLIM, Rosane M. M et al. A density-based clustering approach for behavior change detection in data streams. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.22. Acesso em: 16 nov. 2024.
APA
Vallim, R. M. M., Andrade Filho, J. A., Carvalho, A. C. P. de L. F. de, & Gama, J. (2012). A density-based clustering approach for behavior change detection in data streams. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.22
NLM
Vallim RMM, Andrade Filho JA, Carvalho ACP de LF de, Gama J. A density-based clustering approach for behavior change detection in data streams [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.22
Vancouver
Vallim RMM, Andrade Filho JA, Carvalho ACP de LF de, Gama J. A density-based clustering approach for behavior change detection in data streams [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.22
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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] 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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.23
Trabalho de evento
A study on class noise detection and elimination (2012)
Garcia, Luís Paulo F; Lorena, Ana Carolina; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Luís Paulo F e LORENA, Ana Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira de. A study on class noise detection and elimination. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.49. Acesso em: 16 nov. 2024.
APA
Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2012). A study on class noise detection and elimination. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.49
NLM
Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study on class noise detection and elimination [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.49
Vancouver
Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study on class noise detection and elimination [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBRN.2012.49
Trabalho de evento
Recognition of human motions for imitation and control of a humanoid robot (2012)
Zuher, Fernando; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS
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ABNT
ZUHER, Fernando e ROMERO, Roseli Aparecida Francelin. Recognition of human motions for imitation and control of a humanoid robot. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBR-LARS.2012.38. Acesso em: 16 nov. 2024.
APA
Zuher, F., & Romero, R. A. F. (2012). Recognition of human motions for imitation and control of a humanoid robot. In Proceedings. Piscataway: CPS. doi:10.1109/SBR-LARS.2012.38
NLM
Zuher F, Romero RAF. Recognition of human motions for imitation and control of a humanoid robot [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBR-LARS.2012.38
Vancouver
Zuher F, Romero RAF. Recognition of human motions for imitation and control of a humanoid robot [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SBR-LARS.2012.38

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