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Salselas, I., Hazan A., Herrera P., & Purwins H. (2008).  The Development of Melodic Representations at Early Age: Towards a Computational Model.. Music, Language and the Mind 2008. Abstract
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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. (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. (2004).  Learning Expressive Performance Rules in Jazz.
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., Hazan A., Maestre E., & Serra X. (2008).  A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal. 32, 38-50. Abstract
Ramirez, R., & Hazan A. (2005).  Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449. 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
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.
Ramirez, R., & Hazan A. (2005).  An Approach to Expressive Music Performance Modeling. 118th Audio Engineering Society Convention. Abstract
Ramirez, R., & Hazan A. (2005).  Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference. 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
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
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Purwins, P., Herrera P., Grachten M., Hazan A., Marxer R., & Serra X. (2008).  Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain. Physics of Life Reviews. 5(3), 151-168. Abstract
Purwins, P., Grachten M., Herrera P., Hazan A., Marxer R., & Serra X. (2008).  Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing. Physics of Life Reviews. 5(3), 169-182. Abstract
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Marxer, R., Holonowicz P., Hazan A., & Purwins H. (2008).  Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories. Acoustics. 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
Maestre, E., Hazan A., Ramirez R., & Pérez A. (2006).  Using concatenative synthesis for expressive performance in jazz saxophone. International Computer Music Conference. Abstract
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Hazan, A., Brossier P., Marxer R., & Purwins P. (2009).  What/when causal expectation modelling applied to percussive audio. The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800. Abstract
Hazan, A., Brossier P., Marxer R., & Purwins H. (2007).  What/when causal expectation modelling in monophonic pitched and percussive audio. NIPS-Workshop Music, Brain, & Cognition. Abstract
Hazan, A. (2006).  Computational Modeling of Expressive Music Performance New Machine Learning Approaches for Dealing With Real-World Data. 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
Hazan, A., Holonowicz P., Salselas I., Herrera P., Purwins H., Knast A., et al. (2008).  Poster - Modeling the Acquisition of Statistical Regularities in Tone Sequences. CogSci 2008.
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