Biblio
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(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2008). Modeling Celtic Violin Expressive Performance.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2005). Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2003). Learning Sets of Musical Rules.
Abstract
(2008). An fMRI Study on Attentive Music Listening.
The Neurosciences and Music. Abstract
(2004). Constraint-based synchronization and verification of distributed Java programs.
Lecture Notes in Computer Science . 3132, Abstract
(2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
(2010). Modeling Violin Performances Using Inductive Logic Programming.
Intelligent Data Analysis.
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2006). Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2005). Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2010). Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31, 1514-1523.
(2006). Training a Classifier to Detect Instantaneous Musical Cognitive States.
International Conference on Music Perception and Cognition. Abstract
(2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2004). Model checking constraint-based concurrent Java programs.
International Workshop on Constructive Methods for Parallel Programming. Abstract
(2006). A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies.
International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
(2012). A Rule-Based Evolutionary Approach to Music Performance Modeling.
IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
(2007). An Evolutionary Computation Approach to Cognitive States Classification.
IEEE Congress on Evolutionary Computing. Abstract
(2007). Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2005). Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. Abstract
