Biblio
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(2004). A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2007). An Evolutionary Computation Approach to Cognitive States Classification.
IEEE Congress on Evolutionary Computing. Abstract
(2012). A Rule-Based Evolutionary Approach to Music Performance Modeling.
IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
(2011). Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2007). Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2010). Modeling Violin Performances Using Inductive Logic Programming.
Intelligent Data Analysis.
(2005). Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2004). Constraint-based synchronization and verification of distributed Java programs.
Lecture Notes in Computer Science . 3132, Abstract
(2008). An fMRI Study on Attentive Music Listening.
The Neurosciences and Music. Abstract
(2005). Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. Abstract
(2007). Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
(2010). Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2009). A Framework for Performer Identification in Audio Recordings.
International Workshop on Machine Learning and Music - ECML-PKDD 09. 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
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2015). Musical neurofeedback for treating depression in elderly people.
Frontiers in Neuroscience. 9(354),
(2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. Abstract
