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Cano, P. (1998).  Fundamental Frequency Estimation in the SMS analysis. International Conference on Digital Audio Effects (DAFX). 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
Stanyek, J., Benadon F., Browner T., Chordia P., Danielsen A., Gómez E., et al. (2014).  Forum on transcription. Twentieth-Century Music. 11(1), 101-161.
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
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.
Zanin, M., Buldú J. M., Cano P., & Boccaletti S. (2008).  Disorder and decision cost in spatial networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. 18(2),  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.