Multi-label feature selection techniques for hierarchical multi-label protein function prediction (2018)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN.2018.8489247
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES; BIOINFORMÁTICA
- Keywords: Protein Function Prediction; Hierarchical Multilabel Classification; Multi-label Feature Selection
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 11 maio 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 maio 11 ] 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 maio 11 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489247 - Reduction strategies for hierarchical multi-label classification in protein function prediction
- Intelligent-guided adaptive search for the maximum covering location problem
- Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm
- A density-based clustering approach for behavior change detection in data streams
- Automatic selection of learning bias for active sampling
- Deep learning for biological image classification
- Mobile sensing and social computing [Editorial]
- Viabilidade do aprendizado ativo em máquinas extremas
- Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change
- Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems - HAIS
Informações sobre o DOI: 10.1109/IJCNN.2018.8489247 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
