Biblio

Export 176 results:
Sort by: Author [ Title  (Desc)] Type Year
Filters: First Letter Of Title is M  [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   [Show ALL]
M
Celma, Ò. (2008).  Music Recommendation and Discovery in the Long Tail. Department of Information and Communication Technologies. 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
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
Bischoff, K., Firan C., Paiu R., Nejdl W., Laurier C., & Sordo M. (2009).  Music Mood and Theme Classification a Hybrid Approach. Conference of the International Society for Music Information Retrieval (ISMIR). Abstract
Gómez, E., Schedl M., Serra X., & Hu X. (2016).  Music Information Retrieval:
 Overview, Recent Developments and Future Challenges. 17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. 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
Carrascal, J., & Jordà S. (2011).  Multitouch interface for audio mixing. New Interfaces for Musical Expression, NIME.
Srinivasamurthy, A., & Chordia P. (2012).  Multiple Viewpoint Modeling of North Indian Classical Vocal Compositions. Proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval (CMMR).
Salamon, J., Gulati S., & Serra X. (2012).  A Multipitch Approach to Tonic Identification in Indian Classical Music. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 499-504. Abstract
Laurier, C., Grivolla J., & Herrera P. (2008).  Multimodal Music Mood Classification using Audio and Lyrics. International Conference on Machine Learning and Applications. Abstract
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
intranet