Biblio

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2004
Ramirez, R., & Hazan A. (2004).  Learning Expressive Performance Rules in Jazz.
Ramirez, R., & Hazan A. (2004).  Rule induction for expressive music performance modeling. Abstract
Ramirez, 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
Ramirez, R., Hazan A., Gómez E., & Maestre E. (2004).  Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference. Abstract
2005
Hazan, A. (2005).  Performing expressive rhythms with billaboop voice-driven drum generator. Abstract
Hazan, A. (2005).  Towards automatic transcription of expressive oral percussive performances. Abstract
Ramirez, R., & Hazan A. (2005).  An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention. Abstract
Hazan, A. (2005).  Billaboop real-time voice-driven drum generator. 118th Audio Engineering Society Convention. Abstract
Ramirez, R., Hazan A., Gómez E., Maestre E., & Serra X. (2005).  Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research. 34, 319-330. Abstract
Ramirez, R., Hazan A., & Maestre E. (2005).  Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference. Abstract
Ramirez, R., & Hazan A. (2005).  Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference. Abstract
Ramirez, R., & Hazan A. (2005).  Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449. Abstract
2006
Hazan, A. (2006).  Computational Modeling of Expressive Music Performance New Machine Learning Approaches for Dealing With Real-World Data. Abstract
Hazan, A., Grachten M., & Ramirez R. (2006).  Evolving performance models by performance similarity beyond note-to-note transformations. Abstract
Hazan, A., & Ramirez R. (2006).  Modelling expressive performance using consistent evolutionary regression trees. Abstract
Ramirez, R., Hazan A., Maestre E., & Serra X. (2006).  A Machine Learning Approach to Expressive Performance in Jazz Standards. (Petrushin, V. A., Khan, L., Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
Ramirez, 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.
Hazan, A., Ramirez R., Maestre E., Pérez A., & Pertusa A. (2006).  Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming. European Workshop on Evolutionary Music and Art. Abstract
Ramirez, R., Hazan A., & Maestre E. (2006).  A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. Conference on Innovative Applications of Artificial Intelligence. Abstract
Ramirez, R., & Hazan A. (2006).  A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
Maestre, E., Hazan A., Ramirez R., & Pérez A. (2006).  Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference. Abstract
2007
Grachten, M., Marxer R., Hazan A., & Purwins H. (2007).  Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop. Abstract
Hazan, A., Herrera P., Marxer R., Grachten M., & Purwins H. (2007).  Computational Modeling of Statistical Learning of Tone Sequences (Poster). International Conference on Cognitive and Neural Systems (ICCNS 2007). Abstract
Marxer, R., Holonowicz P., Purwins H., & Hazan A. (2007).  Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories . Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS). Abstract
Hazan, A., Brossier P., Holonowicz P., Herrera P., & Purwins H. (2007).  Expectation Along The Beat A Use Case For Music Expectation Models. International Computer Music Conference. Abstract
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