Active semi-supervised classification based on multiple clustering hierarchies (2016)
- Authors:
- Autor USP: CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC
- Unidade: ICMC
- DOI: 10.1109/DSAA.2016.9
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES
- Keywords: active learning; classification
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Data Science and Advanced Analytics - DSAA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BATISTA, Antônio J. L e CAMPELLO, Ricardo José Gabrielli Barreto e SANDER, Jörg. Active semi-supervised classification based on multiple clustering hierarchies. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/DSAA.2016.9. Acesso em: 24 fev. 2026. -
APA
Batista, A. J. L., Campello, R. J. G. B., & Sander, J. (2016). Active semi-supervised classification based on multiple clustering hierarchies. In Proceedings. Los Alamitos: IEEE. doi:10.1109/DSAA.2016.9 -
NLM
Batista AJL, Campello RJGB, Sander J. Active semi-supervised classification based on multiple clustering hierarchies [Internet]. Proceedings. 2016 ;[citado 2026 fev. 24 ] Available from: https://doi.org/10.1109/DSAA.2016.9 -
Vancouver
Batista AJL, Campello RJGB, Sander J. Active semi-supervised classification based on multiple clustering hierarchies [Internet]. Proceedings. 2016 ;[citado 2026 fev. 24 ] Available from: https://doi.org/10.1109/DSAA.2016.9 - Similarity measures for comparing biclusterings
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Informações sobre o DOI: 10.1109/DSAA.2016.9 (Fonte: oaDOI API)
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