Music classification by transductive learning using bipartite heterogeneous networks (2014)
- Authors:
- USP affiliated authors: REZENDE, SOLANGE OLIVEIRA - ICMC ; BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; MINERAÇÃO DE DADOS; MÚSICA
- Language: Inglês
- Imprenta:
- Publisher: International Society for Music Information Retrieval
- Publisher place: Taipei
- Date published: 2014
- Source:
- Título: Proceedings
- Conference titles: International Society for Music Information Retrieval Conference - ISMIR
-
ABNT
SILVA, Diego Furtado et al. Music classification by transductive learning using bipartite heterogeneous networks. 2014, Anais.. Taipei: International Society for Music Information Retrieval, 2014. Disponível em: http://www.terasoft.com.tw/conf/ismir2014/proceedings/T021_263_Paper.pdf. Acesso em: 01 mar. 2026. -
APA
Silva, D. F., Rossi, R. G., Rezende, S. O., & Batista, G. E. de A. P. A. (2014). Music classification by transductive learning using bipartite heterogeneous networks. In Proceedings. Taipei: International Society for Music Information Retrieval. Recuperado de http://www.terasoft.com.tw/conf/ismir2014/proceedings/T021_263_Paper.pdf -
NLM
Silva DF, Rossi RG, Rezende SO, Batista GE de APA. Music classification by transductive learning using bipartite heterogeneous networks [Internet]. Proceedings. 2014 ;[citado 2026 mar. 01 ] Available from: http://www.terasoft.com.tw/conf/ismir2014/proceedings/T021_263_Paper.pdf -
Vancouver
Silva DF, Rossi RG, Rezende SO, Batista GE de APA. Music classification by transductive learning using bipartite heterogeneous networks [Internet]. Proceedings. 2014 ;[citado 2026 mar. 01 ] Available from: http://www.terasoft.com.tw/conf/ismir2014/proceedings/T021_263_Paper.pdf - Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data
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