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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