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Trabalho de evento-anais periodico
Filter approach feature selection methods to support multi-label learning based on ReliefF and information gain (2012)
Spolaôr, Newton; Cherman, Everton Alvares; Monard, Maria Carolina ; Lee, Huei Diana
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Symposium on Artificial Intelligence : Advances in Artificial Intelligence - SBIA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPOLAÔR, Newton et al. Filter approach feature selection methods to support multi-label learning based on ReliefF and information gain. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-34459-6_8. Acesso em: 05 nov. 2025. , 2012
APA
Spolaôr, N., Cherman, E. A., Monard, M. C., & Lee, H. D. (2012). Filter approach feature selection methods to support multi-label learning based on ReliefF and information gain. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-34459-6_8
NLM
Spolaôr N, Cherman EA, Monard MC, Lee HD. Filter approach feature selection methods to support multi-label learning based on ReliefF and information gain [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 72-81.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_8
Vancouver
Spolaôr N, Cherman EA, Monard MC, Lee HD. Filter approach feature selection methods to support multi-label learning based on ReliefF and information gain [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 72-81.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_8
Trabalho de evento-anais periodico
On the use of consensus clustering for incremental learning of topic hierarchies (2012)
Marcacini, Ricardo Marcondes ; Hruschka, Eduardo Raul ; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Symposium on Artificial Intelligence : Advances in Artificial Intelligence - SBIA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARCACINI, Ricardo Marcondes e HRUSCHKA, Eduardo Raul e REZENDE, Solange Oliveira. On the use of consensus clustering for incremental learning of topic hierarchies. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-34459-6_12. Acesso em: 05 nov. 2025. , 2012
APA
Marcacini, R. M., Hruschka, E. R., & Rezende, S. O. (2012). On the use of consensus clustering for incremental learning of topic hierarchies. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-34459-6_12
NLM
Marcacini RM, Hruschka ER, Rezende SO. On the use of consensus clustering for incremental learning of topic hierarchies [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 112-121.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_12
Vancouver
Marcacini RM, Hruschka ER, Rezende SO. On the use of consensus clustering for incremental learning of topic hierarchies [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 112-121.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_12
Trabalho de evento-anais periodico
HCAC: semi-supervised hierarchical clustering using confidence-based active learning (2012)
Nogueira, Bruno M; Jorge, Alípio M; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Discovery Science - DS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOGUEIRA, Bruno M e JORGE, Alípio M e REZENDE, Solange Oliveira. HCAC: semi-supervised hierarchical clustering using confidence-based active learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-33492-4. Acesso em: 05 nov. 2025. , 2012
APA
Nogueira, B. M., Jorge, A. M., & Rezende, S. O. (2012). HCAC: semi-supervised hierarchical clustering using confidence-based active learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-33492-4
NLM
Nogueira BM, Jorge AM, Rezende SO. HCAC: semi-supervised hierarchical clustering using confidence-based active learning [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7569 139-153.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-33492-4
Vancouver
Nogueira BM, Jorge AM, Rezende SO. HCAC: semi-supervised hierarchical clustering using confidence-based active learning [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7569 139-153.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-33492-4
Trabalho de evento-anais periodico
Stochastic resonance in excitable neuronal system with phase-noise (2012)
Xiaoming, Liang; Liang, Zhao
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Advances in Brain Inspired Cognitive Systems - BICS. Unidade: ICMC
Assuntos: 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
XIAOMING, Liang e LIANG, Zhao. Stochastic resonance in excitable neuronal system with phase-noise. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31561-9. Acesso em: 05 nov. 2025. , 2012
APA
Xiaoming, L., & Liang, Z. (2012). Stochastic resonance in excitable neuronal system with phase-noise. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31561-9
NLM
Xiaoming L, Liang Z. Stochastic resonance in excitable neuronal system with phase-noise [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7366 304-310.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-31561-9
Vancouver
Xiaoming L, Liang Z. Stochastic resonance in excitable neuronal system with phase-noise [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7366 304-310.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-31561-9
Trabalho de evento-anais periodico
Link prediction in complex networks based on cluster information (2012)
Valverde-Rebaza, Jorge Carlos; Lopes, Alneu de Andrade
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Symposium on Artificial Intelligence : Advances in Artificial Intelligence - SBIA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALVERDE-REBAZA, Jorge Carlos e LOPES, Alneu de Andrade. Link prediction in complex networks based on cluster information. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-34459-6. Acesso em: 05 nov. 2025. , 2012
APA
Valverde-Rebaza, J. C., & Lopes, A. de A. (2012). Link prediction in complex networks based on cluster information. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-34459-6
NLM
Valverde-Rebaza JC, Lopes A de A. Link prediction in complex networks based on cluster information [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 92-101.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6
Vancouver
Valverde-Rebaza JC, Lopes A de A. Link prediction in complex networks based on cluster information [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 92-101.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34459-6

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