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Trabalho de evento
Representation and automatic learning of temporal relations between time periods with uncertain boundaries (2012)
Nicoletti, M. C.; Lisboa, Flávia Oliveira Santos de Sá; Hruschka Junior, Estevam Rafael ; Oliveira, O. L.
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, ÁLGEBRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NICOLETTI, M. C. et al. Representation and automatic learning of temporal relations between time periods with uncertain boundaries. 2012, Anais.. Piscataway: Institute of Eletrical and Eletronic Engineer - IEEE, 2012. Disponível em: https://doi.org/10.1109/ISDA.2012.6416579. Acesso em: 30 nov. 2025.
APA
Nicoletti, M. C., Lisboa, F. O. S. de S., Hruschka Junior, E. R., & Oliveira, O. L. (2012). Representation and automatic learning of temporal relations between time periods with uncertain boundaries. In Proceedings. Piscataway: Institute of Eletrical and Eletronic Engineer - IEEE. doi:10.1109/ISDA.2012.6416579
NLM
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER, Oliveira OL. Representation and automatic learning of temporal relations between time periods with uncertain boundaries [Internet]. Proceedings. 2012 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ISDA.2012.6416579
Vancouver
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER, Oliveira OL. Representation and automatic learning of temporal relations between time periods with uncertain boundaries [Internet]. Proceedings. 2012 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ISDA.2012.6416579
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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] 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: 30 nov. 2025.
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 2025 nov. 30 ] 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 2025 nov. 30 ] Available from: https://doi.org/10.1109/ISDA.2009.248

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