Biblio

Export 190 results:
Sort by: Author [ Title  (Asc)] Type Year
Filters: Author is Perfecto Herrera  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
Herrera, P., Celma Ò., Massaguer J., Cano P., Gómez E., Gouyon F., et al. (2005).  Mucosa a music content semantic annotator. 6th International Conference on Music Information Retrieval (2005). Abstract
Chen, G., Wang T. - G., Gong L., & Herrera P. (2010).  Multi-Class Support Vector Machine Active Learning for Music Annotation. International Journal of Innovative Computing, Information and Control. 921-930. Abstract
Laurier, C., Grivolla J., & Herrera P. (2008).  Multimodal Music Mood Classification using Audio and Lyrics. International Conference on Machine Learning and Applications. Abstract
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Laurier, C., Meyers O., Serrà J., Blech M., & Herrera P. (2009).  Music Mood Annotator Design and Integration. 7th International Workshop on Content-Based Multimedia Indexing. Abstract
Laurier, C., Sordo M., Serrà J., & Herrera P. (2009).  Music Mood Representations from Social Tags. International Society for Music Information Retrieval (ISMIR) Conference. 381-386. Abstract
Yang, Y., Bogdanov D., Herrera P., & Sordo M. (2012).  Music Retagging Using Label Propagation and Robust Principal Component Analysis. 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). Abstract
Wack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., et al. (2009).  Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Herrera, P. (2009).  Música y Persuasión. La música y su reflejo en la sociedad. 27-38. Abstract
N
P
Gómez-Marín, D., Jordà S., & Herrera P. (2015).  PAD and SAD: Two awareness-weighted rhythmic similarity distances. 16th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
intranet