Music genre classification using traditional and relational approaches (2014)
- Authors:
- USP affiliated authors: OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC ; LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2014.54
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA
- Language: Inglês
- Imprenta:
- Publisher: Conference Publishing Services
- Publisher place: Los Alamitos
- Date published: 2014
- ISBN: 9781479956180
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VALVERDE-REBAZA, Jorge et al. Music genre classification using traditional and relational approaches. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.54. Acesso em: 13 fev. 2026. -
APA
Valverde-Rebaza, J., Soriano, A., Berton, L., Oliveira, M. C. F. de, & Lopes, A. de A. (2014). Music genre classification using traditional and relational approaches. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.54 -
NLM
Valverde-Rebaza J, Soriano A, Berton L, Oliveira MCF de, Lopes A de A. Music genre classification using traditional and relational approaches [Internet]. Proceedings. 2014 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/BRACIS.2014.54 -
Vancouver
Valverde-Rebaza J, Soriano A, Berton L, Oliveira MCF de, Lopes A de A. Music genre classification using traditional and relational approaches [Internet]. Proceedings. 2014 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/BRACIS.2014.54 - Community detection in bipartite network: a modified coarsening approach
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Informações sobre o DOI: 10.1109/BRACIS.2014.54 (Fonte: oaDOI API)
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