Machine learning approaches for miRNA prediction (2011)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Subjects: APRENDIZADO COMPUTACIONAL; BIOINFORMÁTICA; RECONHECIMENTO DE PADRÕES; MICRORNAS
- Keywords: Metalearning; generative models; graph-based models; TSVMs
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2011
- Source:
- Título do periódico: Proceedings
- ISSN: 2178-5120
- Conference titles: Brazilian Symposium on Bioinformatics - BSB
-
ABNT
LOPES, Ivani de Oliveira Negrão e CARVALHO, André Carlos Ponce de Leon Ferreira de e BINNECK, Eliseu. Machine learning approaches for miRNA prediction. 2011, Anais.. Porto Alegre: SBC, 2011. . Acesso em: 19 abr. 2024. -
APA
Lopes, I. de O. N., Carvalho, A. C. P. de L. F. de, & Binneck, E. (2011). Machine learning approaches for miRNA prediction. In Proceedings. Porto Alegre: SBC. -
NLM
Lopes I de ON, Carvalho ACP de LF de, Binneck E. Machine learning approaches for miRNA prediction. Proceedings. 2011 ;[citado 2024 abr. 19 ] -
Vancouver
Lopes I de ON, Carvalho ACP de LF de, Binneck E. Machine learning approaches for miRNA prediction. Proceedings. 2011 ;[citado 2024 abr. 19 ] - 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
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
