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Parte de monografia/livro-apres/pref/posf
This volume of Lecture Notes in Artificial Intelligence... [Prefácio] (2013)
Pan, Jeng-Shyang; Polycarpou, Marios M (Editor); Wozniak, Michal (Editor); Carvalho, André Carlos Ponce de Leon Ferreira de ; Quintián, Héctor (Editor); Corchado, Emilio (Editor)
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: 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
PAN, Jeng-Shyang e CARVALHO, André Carlos Ponce de Leon Ferreira de. This volume of Lecture Notes in Artificial Intelligence.. [Prefácio]. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40846-5. Acesso em: 08 nov. 2025. , 2013
APA
Pan, J. -S., & Carvalho, A. C. P. de L. F. de. (2013). This volume of Lecture Notes in Artificial Intelligence.. [Prefácio]. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40846-5
NLM
Pan J-S, Carvalho ACP de LF de. This volume of Lecture Notes in Artificial Intelligence.. [Prefácio] [Internet]. Lecture Notes in Artificial Intelligence. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5
Vancouver
Pan J-S, Carvalho ACP de LF de. This volume of Lecture Notes in Artificial Intelligence.. [Prefácio] [Internet]. Lecture Notes in Artificial Intelligence. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5
Trabalho de evento-anais periodico
A note on parameter selection for support vector machines (2013)
Braga, Igor; Carmo, Laís P. do; Benatti, Caio César; Monard, Maria Carolina
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Mexican International Conference on Artificial Intelligence : Advances in Soft Computing and its Applications - MICAI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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BRAGA, Igor et al. A note on parameter selection for support vector machines. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-45111-9_21. Acesso em: 08 nov. 2025. , 2013
APA
Braga, I., Carmo, L. P. do, Benatti, C. C., & Monard, M. C. (2013). A note on parameter selection for support vector machines. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-45111-9_21
NLM
Braga I, Carmo LP do, Benatti CC, Monard MC. A note on parameter selection for support vector machines [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8266 233-244.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45111-9_21
Vancouver
Braga I, Carmo LP do, Benatti CC, Monard MC. A note on parameter selection for support vector machines [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8266 233-244.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45111-9_21
Trabalho de evento-anais periodico
Density-based clustering based on hierarchical density estimates (2013)
Campello, Ricardo José Gabrielli Barreto; Moulavi, Davoud; Sander, Joerg
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - PAKDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CAMPELLO, Ricardo José Gabrielli Barreto e MOULAVI, Davoud e SANDER, Joerg. Density-based clustering based on hierarchical density estimates. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-37456-2. Acesso em: 08 nov. 2025. , 2013
APA
Campello, R. J. G. B., Moulavi, D., & Sander, J. (2013). Density-based clustering based on hierarchical density estimates. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-37456-2
NLM
Campello RJGB, Moulavi D, Sander J. Density-based clustering based on hierarchical density estimates [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 7819 160-172.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-37456-2
Vancouver
Campello RJGB, Moulavi D, Sander J. Density-based clustering based on hierarchical density estimates [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 7819 160-172.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-37456-2
Trabalho de evento-anais periodico
Noisy data set identification (2013)
Garcia, Luís Paulo F; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana C
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Hybrid Artificial Intelligent Systems - HAIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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GARCIA, Luís Paulo F e CARVALHO, André Carlos Ponce de Leon Ferreira de e LORENA, Ana C. Noisy data set identification. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40846-5_63. Acesso em: 08 nov. 2025. , 2013
APA
Garcia, L. P. F., Carvalho, A. C. P. de L. F. de, & Lorena, A. C. (2013). Noisy data set identification. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40846-5_63
NLM
Garcia LPF, Carvalho ACP de LF de, Lorena AC. Noisy data set identification [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8073 629-638.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5_63
Vancouver
Garcia LPF, Carvalho ACP de LF de, Lorena AC. Noisy data set identification [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8073 629-638.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5_63
Monografia/livro-ed/org
Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS (2013)
Pan, Jeng-Shyang (Editor); Polycarpou, Marios M (Editor); Wozniak, Michal (Editor); Carvalho, André Carlos Ponce de Leon Ferreira de (Editor) ; Quintián, Héctor (Editor); Corchado, Emilio (Editor)
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: 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
Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40846-5. Acesso em: 08 nov. 2025. , 2013
APA
Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS. (2013). Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40846-5
NLM
Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS [Internet]. Lecture Notes in Artificial Intelligence. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5
Vancouver
Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems - HAIS [Internet]. Lecture Notes in Artificial Intelligence. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40846-5
Trabalho de evento-anais periodico
Probabilistic clustering for hierarchical multi-label classification of protein functions (2013)
Barros, Rodrigo C; Cerri, Ricardo; Freitas, Alex A; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
BARROS, Rodrigo C et al. Probabilistic clustering for hierarchical multi-label classification of protein functions. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40991-2_25. Acesso em: 08 nov. 2025. , 2013
APA
Barros, R. C., Cerri, R., Freitas, A. A., & Carvalho, A. C. P. de L. F. de. (2013). Probabilistic clustering for hierarchical multi-label classification of protein functions. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40991-2_25
NLM
Barros RC, Cerri R, Freitas AA, Carvalho ACP de LF de. Probabilistic clustering for hierarchical multi-label classification of protein functions [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8189 385-400.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40991-2_25
Vancouver
Barros RC, Cerri R, Freitas AA, Carvalho ACP de LF de. Probabilistic clustering for hierarchical multi-label classification of protein functions [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8189 385-400.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40991-2_25
Trabalho de evento-anais periodico
Metrics to support the evaluation of Association Rule Clustering (2013)
Carvalho, Veronica Oliveira de; Santos, Fabiano Fernandes dos; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Data Warehousing and Knowledge Discovery - DAWAK-2013. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CARVALHO, Veronica Oliveira de e SANTOS, Fabiano Fernandes dos e REZENDE, Solange Oliveira. Metrics to support the evaluation of Association Rule Clustering. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40131-2_21. Acesso em: 08 nov. 2025. , 2013
APA
Carvalho, V. O. de, Santos, F. F. dos, & Rezende, S. O. (2013). Metrics to support the evaluation of Association Rule Clustering. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40131-2_21
NLM
Carvalho VO de, Santos FF dos, Rezende SO. Metrics to support the evaluation of Association Rule Clustering [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8057 248-259.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40131-2_21
Vancouver
Carvalho VO de, Santos FF dos, Rezende SO. Metrics to support the evaluation of Association Rule Clustering [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8057 248-259.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40131-2_21
Trabalho de evento-anais periodico
Exploration of a rich feature set for automatic term extraction (2013)
Conrado, Merley S; Pardo, Thiago Alexandre Salgueiro ; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Mexican International Conference on Artificial Intelligence : Advances in Soft Computing and its Applications - MICAI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CONRADO, Merley S e PARDO, Thiago Alexandre Salgueiro e REZENDE, Solange Oliveira. Exploration of a rich feature set for automatic term extraction. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-45114-0_28. Acesso em: 08 nov. 2025. , 2013
APA
Conrado, M. S., Pardo, T. A. S., & Rezende, S. O. (2013). Exploration of a rich feature set for automatic term extraction. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-45114-0_28
NLM
Conrado MS, Pardo TAS, Rezende SO. Exploration of a rich feature set for automatic term extraction [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8265 342-354.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45114-0_28
Vancouver
Conrado MS, Pardo TAS, Rezende SO. Exploration of a rich feature set for automatic term extraction [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8265 342-354.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45114-0_28
Trabalho de evento-anais periodico
Biological plausibility in an artificial neural network applied to real predictive tasks (2013)
Silva, Alberione Braz da; Rosa, João Luís Garcia
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
SILVA, Alberione Braz da e ROSA, João Luís Garcia. Biological plausibility in an artificial neural network applied to real predictive tasks. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-38658-9. Acesso em: 08 nov. 2025. , 2013
APA
Silva, A. B. da, & Rosa, J. L. G. (2013). Biological plausibility in an artificial neural network applied to real predictive tasks. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-38658-9
NLM
Silva AB da, Rosa JLG. Biological plausibility in an artificial neural network applied to real predictive tasks [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 7894 183-192.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-38658-9
Vancouver
Silva AB da, Rosa JLG. Biological plausibility in an artificial neural network applied to real predictive tasks [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 7894 183-192.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-38658-9
Trabalho de evento-anais periodico
Using both latent and supervised shared topics for multitask learning (2013)
Acharya, Ayan; Rawal, Aditya; Mooney, Raymond J; Hruschka, Eduardo Raul
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
ACHARYA, Ayan et al. Using both latent and supervised shared topics for multitask learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40991-2_24. Acesso em: 08 nov. 2025. , 2013
APA
Acharya, A., Rawal, A., Mooney, R. J., & Hruschka, E. R. (2013). Using both latent and supervised shared topics for multitask learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40991-2_24
NLM
Acharya A, Rawal A, Mooney RJ, Hruschka ER. Using both latent and supervised shared topics for multitask learning [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8189 369-384.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40991-2_24
Vancouver
Acharya A, Rawal A, Mooney RJ, Hruschka ER. Using both latent and supervised shared topics for multitask learning [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8189 369-384.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40991-2_24
Trabalho de evento-anais periodico
Subjective evaluation of labeling methods for association rule clustering (2013)
Padua, Renan de; Santos, Fabiano Fernandes dos; Conrado, Merley da Silva; Carvalho, Veronica Oliveira de; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Mexican International Conference on Artificial Intelligence : Advances in Soft Computing and its Applications - MICAI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
PADUA, Renan de et al. Subjective evaluation of labeling methods for association rule clustering. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-45111-9_26. Acesso em: 08 nov. 2025. , 2013
APA
Padua, R. de, Santos, F. F. dos, Conrado, M. da S., Carvalho, V. O. de, & Rezende, S. O. (2013). Subjective evaluation of labeling methods for association rule clustering. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-45111-9_26
NLM
Padua R de, Santos FF dos, Conrado M da S, Carvalho VO de, Rezende SO. Subjective evaluation of labeling methods for association rule clustering [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8266 289-300.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45111-9_26
Vancouver
Padua R de, Santos FF dos, Conrado M da S, Carvalho VO de, Rezende SO. Subjective evaluation of labeling methods for association rule clustering [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8266 289-300.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-45111-9_26
Trabalho de evento-anais periodico
Influence of graph construction on semi-supervised learning (2013)
Sousa, Celso André Rodrigues de; Rezende, Solange Oliveira ; Batista, Gustavo Enrique de Almeida Prado Alves
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
SOUSA, Celso André Rodrigues de e REZENDE, Solange Oliveira e BATISTA, Gustavo Enrique de Almeida Prado Alves. Influence of graph construction on semi-supervised learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-40994-3_11. Acesso em: 08 nov. 2025. , 2013
APA
Sousa, C. A. R. de, Rezende, S. O., & Batista, G. E. de A. P. A. (2013). Influence of graph construction on semi-supervised learning. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-40994-3_11
NLM
Sousa CAR de, Rezende SO, Batista GE de APA. Influence of graph construction on semi-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8190 160-175.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40994-3_11
Vancouver
Sousa CAR de, Rezende SO, Batista GE de APA. Influence of graph construction on semi-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2013 ; 8190 160-175.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-40994-3_11
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
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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: 08 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. 08 ] 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. 08 ] 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
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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: 08 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. 08 ] 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. 08 ] 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
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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: 08 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. 08 ] 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. 08 ] 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
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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: 08 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. 08 ] 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. 08 ] 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
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1007/978-3-642-34459-6
Trabalho de evento-anais periodico
Revisiting the readability assessment of texts in portuguese (2010)
Scarton, Carolina Evaristo; Gasperin, Caroline; Aluísio, Sandra Maria
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Ibero-American Conference on AI - IBERAMIA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCARTON, Carolina Evaristo e GASPERIN, Caroline e ALUÍSIO, Sandra Maria. Revisiting the readability assessment of texts in portuguese. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-16952-6. Acesso em: 08 nov. 2025. , 2010
APA
Scarton, C. E., Gasperin, C., & Aluísio, S. M. (2010). Revisiting the readability assessment of texts in portuguese. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. doi:10.1007/978-3-642-16952-6
NLM
Scarton CE, Gasperin C, Aluísio SM. Revisiting the readability assessment of texts in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 306-315.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6
Vancouver
Scarton CE, Gasperin C, Aluísio SM. Revisiting the readability assessment of texts in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 306-315.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6
Trabalho de evento-anais periodico
Empirical evaluation of ranking prediction methods for gene expression data classification (2010)
Souza, Bruno Feres de; Carvalho, André Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Ibero-American Conference on AI - IBERAMIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Bruno Feres de e CARVALHO, André Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Empirical evaluation of ranking prediction methods for gene expression data classification. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-16952-6_20. Acesso em: 08 nov. 2025. , 2010
APA
Souza, B. F. de, Carvalho, A. C. P. de L. F. de, & Soares, C. (2010). Empirical evaluation of ranking prediction methods for gene expression data classification. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. doi:10.1007/978-3-642-16952-6_20
NLM
Souza BF de, Carvalho ACP de LF de, Soares C. Empirical evaluation of ranking prediction methods for gene expression data classification [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 194-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_20
Vancouver
Souza BF de, Carvalho ACP de LF de, Soares C. Empirical evaluation of ranking prediction methods for gene expression data classification [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 194-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_20
Trabalho de evento-anais periodico
An environment for data analysis in biomedical domain: information extraction for decision support systems (2010)
Matos, Pablo F.; Lombardi, Leonardo de Oliveira; Pardo, Thiago Alexandre Salgueiro ; Ciferri, Cristina Dutra de Aguiar ; Vieira, Marina Teresa Pires; Ciferri, Ricardo Rodrigues
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE. Unidade: ICMC
Assuntos: LINGUÍSTICA COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Pablo F. et al. An environment for data analysis in biomedical domain: information extraction for decision support systems. Lecture Notes in Artificial Intelligence. Berlin: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: http://gbd.dc.ufscar.br/~pablofmatos/files/IEA-AIE2010-MatosEtAl.pdf. Acesso em: 08 nov. 2025. , 2010
APA
Matos, P. F., Lombardi, L. de O., Pardo, T. A. S., Ciferri, C. D. de A., Vieira, M. T. P., & Ciferri, R. R. (2010). An environment for data analysis in biomedical domain: information extraction for decision support systems. Lecture Notes in Artificial Intelligence. Berlin: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Recuperado de http://gbd.dc.ufscar.br/~pablofmatos/files/IEA-AIE2010-MatosEtAl.pdf
NLM
Matos PF, Lombardi L de O, Pardo TAS, Ciferri CD de A, Vieira MTP, Ciferri RR. An environment for data analysis in biomedical domain: information extraction for decision support systems [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6096 306-316.[citado 2025 nov. 08 ] Available from: http://gbd.dc.ufscar.br/~pablofmatos/files/IEA-AIE2010-MatosEtAl.pdf
Vancouver
Matos PF, Lombardi L de O, Pardo TAS, Ciferri CD de A, Vieira MTP, Ciferri RR. An environment for data analysis in biomedical domain: information extraction for decision support systems [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6096 306-316.[citado 2025 nov. 08 ] Available from: http://gbd.dc.ufscar.br/~pablofmatos/files/IEA-AIE2010-MatosEtAl.pdf

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