Biblio
] Filters: Author is Rafael Ramirez [Clear All Filters]
(2003). Learning Sets of Musical Rules.
Abstract
(2004). A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004). Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2005). An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2005). Foafing the music: A music recommendation system based on RSS feeds and user preferences.
6th International Conference on Music Information Retrieval (ISMIR). 464-467. Abstract
(2005). Getting music recommendations and filtering newsfeeds from FOAF descriptions.
1st Workshop on Scripting for the Semantic Web co-located with the 2nd European Semantic Web Conference). Abstract
(2005). Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2005). Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2005). Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. Abstract
(2006). Automatic characterization of ornamentation from bassoon recordings for expressive synthesis.
9th International Conference on Music Perception and Cognition. Abstract
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2006). Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2006). Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2006). A Sequential Covering Evolutionary Algorithm for Expressive Music Performance.
Conference on Innovative Applications of Artificial Intelligence. 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
(2006). Training a Classifier to Detect Instantaneous Musical Cognitive States.
International Conference on Music Perception and Cognition. Abstract
(2006). Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2007). An Evolutionary Computation Approach to Cognitive States Classification.
IEEE Congress on Evolutionary Computing. Abstract
(2007). Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
