Biblio

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Conference Paper
Celma, Ò., Herrera P., & Serra X. (2006).  Bridging the Music Semantic Gap. Workshop on Mastering the Gap: From Information Extraction to Semantic Representation. 187, Abstract
Caro Repetto, R., & Serra X. (2017).  A collection of music scores for corpus based jingju singing research. 18th International Society for Music Information Retrieval Conference. 46-52. Abstract
Caro Repetto, R., Gong R., Kroher N., & Serra X. (2015).  Comparison of the singing style of two jingju schools. 16th International Society for Music Information Retrieval (ISMIR) Conference. 507-513. Abstract
Zanin, M., Cano P., Buldú J. M., & Celma Ò. (2008).  Complex networks in recommendation systems. Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications. Abstract
Sordo, M., Chaachoo A., & Serra X. (2014).  Creating Corpora for Computational Research in Arab-Andalusian Music. 1st International Workshop on Digital Libraries for Musicology. 1-3. Abstract
Gomez, E., Blaauw M., Bonada J., Chandna P., & Cuesta H. (2018).  Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
Catala, A., Jaen J., van Dijk B., & Jordà S. (2012).  Exploring tabletops as an effective tool to foster creativity traits. Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction. 143–150.
Espinosa-Anke, L., Oramas S., Camacho-Collados J., & Saggion H. (2016).  Finding and Expanding Hypernymic Relations in the Music Domain. 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
Celma, Ò., & Cano P. (2008).  From hits to niches? or how popular artists can bias music recommendation and discovery. 2nd Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (ACM KDD). Abstract
Cano, P. (1998).  Fundamental Frequency Estimation in the SMS analysis. International Conference on Digital Audio Effects (DAFX). Abstract
Srinivasamurthy, A., Holzapfel A., Cemgil A. T., & Serra X. (2016).  A generalized Bayesian model for tracking long metrical cycles in acoustic music signals. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 76-80. Abstract
Celma, Ò., Ramirez R., & Herrera P. (2005).  Getting music recommendations and filtering newsfeeds from FOAF descriptions. 1st Workshop on Scripting for the Semantic Web co-located with the 2nd European Semantic Web Conference). Abstract
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