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Giraldo, S., & Ramirez R. (2012).  Modeling Embellishment, Timing and Energy Expressive Transformations in Jazz Guitar. 5th Internationa Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owners..
Giraldo, S., & Ramirez R. (2013).  Real Time Modeling of Emotions by Linear Regression. MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
Gómez, E., Grachten M., Hanjalic A., Janer J., Jordà S., Julià C. F., et al. (2013).  PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences. SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
Gómez, E. (2011).  Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music. (Müller, M., Goto, M., Dixon, S., Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. 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.