Biblio
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(2019). Data augmentation for instrument classification robust to audio effects.
22nd International Conference on Digital Audio Effects (DAFx-19). Abstract
(2005). An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2008). Performer Identification in Celtic Violin Recordings.
International Conference on Music Information Retrieval. Abstract
(2004). Model checking constraint-based concurrent Java programs.
International Workshop on Constructive Methods for Parallel Programming. Abstract
(2008). Modeling Celtic Violin Expressive Performance.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2015). Musical neurofeedback for treating depression in elderly people.
Frontiers in Neuroscience. 9(354),
(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
(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
(2011). Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. 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
