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Trabalho de evento
Fuzzy cluster descriptors improve flexible organization of documents (2012)
Nogueira, Tatiane M; Rezende, Solange Oliveira ; Camargo, Heloisa A
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOGUEIRA, Tatiane M e REZENDE, Solange Oliveira e CAMARGO, Heloisa A. Fuzzy cluster descriptors improve flexible organization of documents. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: http://rpsonline.com.sg/rps2prod/isda2012/html/240.xml. Acesso em: 17 nov. 2024.
APA
Nogueira, T. M., Rezende, S. O., & Camargo, H. A. (2012). Fuzzy cluster descriptors improve flexible organization of documents. In Proceedings. Piscataway: IEEE. Recuperado de http://rpsonline.com.sg/rps2prod/isda2012/html/240.xml
NLM
Nogueira TM, Rezende SO, Camargo HA. Fuzzy cluster descriptors improve flexible organization of documents [Internet]. Proceedings. 2012 ;[citado 2024 nov. 17 ] Available from: http://rpsonline.com.sg/rps2prod/isda2012/html/240.xml
Vancouver
Nogueira TM, Rezende SO, Camargo HA. Fuzzy cluster descriptors improve flexible organization of documents [Internet]. Proceedings. 2012 ;[citado 2024 nov. 17 ] Available from: http://rpsonline.com.sg/rps2prod/isda2012/html/240.xml
Trabalho de evento
A clustering-based decision tree induction algorithm (2011)
Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Basgalupp, Márcio P; Quiles, Marcos G
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Rodrigo C et al. A clustering-based decision tree induction algorithm. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISDA.2011.6121712. Acesso em: 17 nov. 2024.
APA
Barros, R. C., Carvalho, A. C. P. de L. F. de, Basgalupp, M. P., & Quiles, M. G. (2011). A clustering-based decision tree induction algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/ISDA.2011.6121712
NLM
Barros RC, Carvalho ACP de LF de, Basgalupp MP, Quiles MG. A clustering-based decision tree induction algorithm [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121712
Vancouver
Barros RC, Carvalho ACP de LF de, Basgalupp MP, Quiles MG. A clustering-based decision tree induction algorithm [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121712
Trabalho de evento
Hierarchical multi-label classification for protein function prediction: a local approach based on neural networks (2011)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo e BARROS, Rodrigo C e CARVALHO, André Carlos Ponce de Leon Ferreira de. Hierarchical multi-label classification for protein function prediction: a local approach based on neural networks. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISDA.2011.6121678. Acesso em: 17 nov. 2024.
APA
Cerri, R., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2011). Hierarchical multi-label classification for protein function prediction: a local approach based on neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/ISDA.2011.6121678
NLM
Cerri R, Barros RC, Carvalho ACP de LF de. Hierarchical multi-label classification for protein function prediction: a local approach based on neural networks [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121678
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de. Hierarchical multi-label classification for protein function prediction: a local approach based on neural networks [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121678
Trabalho de evento
The use of fuzzy decision trees for coffee rust warning in Brazilian crops (2011)
Cintra, Marcos E; Meira, Carlos A. A; Monard, Maria Carolina ; Camargo, Heloisa A; Rodrigues, Luiz H. A
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CINTRA, Marcos E et al. The use of fuzzy decision trees for coffee rust warning in Brazilian crops. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISDA.2011.6121847. Acesso em: 17 nov. 2024.
APA
Cintra, M. E., Meira, C. A. A., Monard, M. C., Camargo, H. A., & Rodrigues, L. H. A. (2011). The use of fuzzy decision trees for coffee rust warning in Brazilian crops. In Proceedings. Piscataway: IEEE. doi:10.1109/ISDA.2011.6121847
NLM
Cintra ME, Meira CAA, Monard MC, Camargo HA, Rodrigues LHA. The use of fuzzy decision trees for coffee rust warning in Brazilian crops [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121847
Vancouver
Cintra ME, Meira CAA, Monard MC, Camargo HA, Rodrigues LHA. The use of fuzzy decision trees for coffee rust warning in Brazilian crops [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121847
Trabalho de evento
A bottom-up oblique decision tree induction algorithm (2011)
Barros, Rodrigo C; Cerri, Ricardo; Jaskowiak, Pablo A; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Rodrigo C et al. A bottom-up oblique decision tree induction algorithm. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISDA.2011.6121697. Acesso em: 17 nov. 2024.
APA
Barros, R. C., Cerri, R., Jaskowiak, P. A., & Carvalho, A. C. P. de L. F. de. (2011). A bottom-up oblique decision tree induction algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/ISDA.2011.6121697
NLM
Barros RC, Cerri R, Jaskowiak PA, Carvalho ACP de LF de. A bottom-up oblique decision tree induction algorithm [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121697
Vancouver
Barros RC, Cerri R, Jaskowiak PA, Carvalho ACP de LF de. A bottom-up oblique decision tree induction algorithm [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121697
Trabalho de evento
Automatic aspect discrimination in relational data clustering (2011)
Horta, Danilo; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORTA, Danilo e CAMPELLO, Ricardo José Gabrielli Barreto. Automatic aspect discrimination in relational data clustering. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISDA.2011.6121709. Acesso em: 17 nov. 2024.
APA
Horta, D., & Campello, R. J. G. B. (2011). Automatic aspect discrimination in relational data clustering. In Proceedings. Piscataway: IEEE. doi:10.1109/ISDA.2011.6121709
NLM
Horta D, Campello RJGB. Automatic aspect discrimination in relational data clustering [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121709
Vancouver
Horta D, Campello RJGB. Automatic aspect discrimination in relational data clustering [Internet]. Proceedings. 2011 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2011.6121709
Trabalho de evento
EACImpute: an evolutionary algorithm for clustering-based imputation (2009)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul. EACImpute: an evolutionary algorithm for clustering-based imputation. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.86. Acesso em: 17 nov. 2024.
APA
Silva, J. de A., & Hruschka, E. R. (2009). EACImpute: an evolutionary algorithm for clustering-based imputation. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.86
NLM
Silva J de A, Hruschka ER. EACImpute: an evolutionary algorithm for clustering-based imputation [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.86
Vancouver
Silva J de A, Hruschka ER. EACImpute: an evolutionary algorithm for clustering-based imputation [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.86
Trabalho de evento
An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods (2009)
Thiago Ferreira Covões; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
THIAGO FERREIRA COVÕES, e HRUSCHKA, Eduardo Raul. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.79. Acesso em: 17 nov. 2024.
APA
Thiago Ferreira Covões,, & Hruschka, E. R. (2009). An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.79
NLM
Thiago Ferreira Covões, Hruschka ER. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.79
Vancouver
Thiago Ferreira Covões, Hruschka ER. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.79
Trabalho de evento
Using smart sampling to discover promising regions and increase the efficiency of differential evolution (2009)
Melo, Vinícius V.; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Vinícius V. e DELBEM, Alexandre Cláudio Botazzo. Using smart sampling to discover promising regions and increase the efficiency of differential evolution. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.248. Acesso em: 17 nov. 2024.
APA
Melo, V. V., & Delbem, A. C. B. (2009). Using smart sampling to discover promising regions and increase the efficiency of differential evolution. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.248
NLM
Melo VV, Delbem ACB. Using smart sampling to discover promising regions and increase the efficiency of differential evolution [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.248
Vancouver
Melo VV, Delbem ACB. Using smart sampling to discover promising regions and increase the efficiency of differential evolution [Internet]. Proceedings. 2009 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISDA.2009.248

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