Biblio

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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
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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.
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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.
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