Biblio

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Ramírez, R., Maestre E., & Serra X. (2012).  A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
Ramírez, R., Gómez E., Vicente V., Puiggròs M., Hazan A., & Maestre E. (2006).  Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
Ramírez, R., & Hazan A. (2005).  Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference. Abstract
Ramírez, R., & Maestre E. (2009).  A Framework for Performer Identification in Audio Recordings. International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
Ramírez, R., Pérez A., Maestre E., Kersten S., Rizo D., Roman P., et al. (2008).  Modeling Celtic Violin Expressive Performance. International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
Ramírez, M., Martinez J., & Santosa A. (2004).  Model checking constraint-based concurrent Java programs. International Workshop on Constructive Methods for Parallel Programming. Abstract
Ramírez, R., Hazan A., Gómez E., & Maestre E. (2004).  A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
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