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Trabalho de evento
Multi-label feature selection techniques for hierarchical multi-label protein function prediction (2018)
Cerri, Ricardo; Mantovani, Rafael G; Basgalupp, Márcio P; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. Multi-label feature selection techniques for hierarchical multi-label protein function prediction. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489247. Acesso em: 31 out. 2024.
APA
Cerri, R., Mantovani, R. G., Basgalupp, M. P., & Carvalho, A. C. P. de L. F. de. (2018). Multi-label feature selection techniques for hierarchical multi-label protein function prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489247
NLM
Cerri R, Mantovani RG, Basgalupp MP, Carvalho ACP de LF de. Multi-label feature selection techniques for hierarchical multi-label protein function prediction [Internet]. Proceedings. 2018 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489247
Vancouver
Cerri R, Mantovani RG, Basgalupp MP, Carvalho ACP de LF de. Multi-label feature selection techniques for hierarchical multi-label protein function prediction [Internet]. Proceedings. 2018 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489247
Trabalho de evento
Hyper-parameter tuning of a decision tree induction algorithm (2016)
Mantovani, Rafael G; Horváth, Tomás; Cerri, Ricardo; Vanschoren, Joaquin; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANTOVANI, Rafael G et al. Hyper-parameter tuning of a decision tree induction algorithm. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/BRACIS.2016.018. Acesso em: 31 out. 2024.
APA
Mantovani, R. G., Horváth, T., Cerri, R., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2016). Hyper-parameter tuning of a decision tree induction algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.018
NLM
Mantovani RG, Horváth T, Cerri R, Vanschoren J, Carvalho ACP de LF de. Hyper-parameter tuning of a decision tree induction algorithm [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/BRACIS.2016.018
Vancouver
Mantovani RG, Horváth T, Cerri R, Vanschoren J, Carvalho ACP de LF de. Hyper-parameter tuning of a decision tree induction algorithm [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/BRACIS.2016.018
Trabalho de evento
PVis - Partitions' Visualizer: extracting knowledge by visualizing a collection of partitions (2014)
Faceli, Katti; Sakata, Tiemi C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Souto, Marcílio C. P. de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACELI, Katti et al. PVis - Partitions' Visualizer: extracting knowledge by visualizing a collection of partitions. 2014, Anais.. Piscataway: IEEE, 2014. Disponível em: https://doi.org/10.1109/IJCNN.2014.6889672. Acesso em: 31 out. 2024.
APA
Faceli, K., Sakata, T. C., Carvalho, A. C. P. de L. F. de, & Souto, M. C. P. de. (2014). PVis - Partitions' Visualizer: extracting knowledge by visualizing a collection of partitions. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2014.6889672
NLM
Faceli K, Sakata TC, Carvalho ACP de LF de, Souto MCP de. PVis - Partitions' Visualizer: extracting knowledge by visualizing a collection of partitions [Internet]. Proceedings. 2014 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IJCNN.2014.6889672
Vancouver
Faceli K, Sakata TC, Carvalho ACP de LF de, Souto MCP de. PVis - Partitions' Visualizer: extracting knowledge by visualizing a collection of partitions [Internet]. Proceedings. 2014 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IJCNN.2014.6889672
Trabalho de evento
Improvements in the partitions selection strategy for set of clustering solutions (2010)
Sakata, Tiemi C.; Faceli, Katti; Souto, Marcílio C. P. de; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Symposium 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
SAKATA, Tiemi C. et al. Improvements in the partitions selection strategy for set of clustering solutions. 2010, Anais.. Los Alamitos: IEEE Computer Society, 2010. Disponível em: https://doi.org/10.1109/SBRN.2010.17. Acesso em: 31 out. 2024.
APA
Sakata, T. C., Faceli, K., Souto, M. C. P. de, & Carvalho, A. C. P. de L. F. de. (2010). Improvements in the partitions selection strategy for set of clustering solutions. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/SBRN.2010.17
NLM
Sakata TC, Faceli K, Souto MCP de, Carvalho ACP de LF de. Improvements in the partitions selection strategy for set of clustering solutions [Internet]. Proceedings. 2010 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/SBRN.2010.17
Vancouver
Sakata TC, Faceli K, Souto MCP de, Carvalho ACP de LF de. Improvements in the partitions selection strategy for set of clustering solutions [Internet]. Proceedings. 2010 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/SBRN.2010.17

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