Filters: First Letter Of Last Name is R [Clear All Filters]
A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.(2004).
An Evolutionary Computation Approach to Cognitive States Classification. IEEE Congress on Evolutionary Computing.(2007).
Performance-based Interpreter Identification in Saxophone Audio Recordings. IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364.(2007).
Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference.(2005).
Performer Identification in Celtic Violin Recordings. International Conference on Music Information Retrieval.(2008).
Constraint-based synchronization and verification of distributed Java programs. Lecture Notes in Computer Science . 3132,(2004).
An fMRI Study on Attentive Music Listening. The Neurosciences and Music.(2008).
A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107.(2012).
Understanding expressive music performance using genetic algorithms. Lecture Notes in Computer Science 3449.(2005).
Modeling Violin Performances Using Inductive Logic Programming. Intelligent Data Analysis.(2010).
Identifying saxophonists from their playing styles. 30th AES Conference.(2007).
A Machine Learning Approach to Expressive Performance in Jazz Standards. ( , Ed.).Multimedia Data Mining and Knowledge Discovery.(2006).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research. 34, 319-330.(2005).
Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.(2006).
Modeling expressive music performance in jazz. International Florida Artificial Intelligence Research Society Conference.(2005).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal. 32, 38-50.(2008).
Automatic performer identiﬁcation in commercial monophonic Jazz performances. Pattern Recognition Letters. 31, 1514-1523.(2010).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning. Sound and Music Computing Conference.(2004).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. Conference on Innovative Applications of Artificial Intelligence.(2006).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal on Artificial Intelligence Tools. 15, 673-691.(2006).