Semi-supervised predictive clustering trees for multi-label protein subcellular localization (2025)
- Authors:
- Autor USP: CERRI, RICARDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-79032-4_27
- Subjects: BIOINFORMÁTICA; APRENDIZADO COMPUTACIONAL
- Keywords: predictive clustering trees; protein subcellular localization; multi-label classification; semi-supervised learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15413, p. 384-399, 2025
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALCANTARA, Leonardo Utida e TRIGUERO, Isaac e CERRI, Ricardo. Semi-supervised predictive clustering trees for multi-label protein subcellular localization. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_27. Acesso em: 01 jan. 2026. , 2025 -
APA
Alcantara, L. U., Triguero, I., & Cerri, R. (2025). Semi-supervised predictive clustering trees for multi-label protein subcellular localization. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_27 -
NLM
Alcantara LU, Triguero I, Cerri R. Semi-supervised predictive clustering trees for multi-label protein subcellular localization [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 384-399.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_27 -
Vancouver
Alcantara LU, Triguero I, Cerri R. Semi-supervised predictive clustering trees for multi-label protein subcellular localization [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 384-399.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_27 - Inductive models for structured output prediction of lncRNA-disease associations
- ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers
- Redes neurais e algoritmos genéticos para problemas de classificação hierárquica multirrótulo
- Ensemble methods for selecting single nucleotide polymorphisms associated to rice phenotypes
- Ensemble multi-label classification using closed frequent labelsets and label taxonomies
- Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology
- Sistema de alerta de risco de incêndio no Pantanal com previsão até 3 dias futuros
- Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease
- Grammar-based evolutionary approaches for software effort estimation
- Growing self-organizing maps for multi-label classification
Informações sobre o DOI: 10.1007/978-3-031-79032-4_27 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3231971.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
