Biblio
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(2005). Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2006). Modeling Expressive Music Performance in Bassoon Audio Recordings.
Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
(2012). Modeling Embellishment, Timing and Energy Expressive Transformations in Jazz Guitar.
5th Internationa Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owners..
(2008). Modeling Celtic Violin Expressive Performance.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2007). Modeling and Synthesis of Expressive Performance.
Digital Music Research Network Workshop. Abstract
(2008). Melody Characterization by a Genetic Fuzzy System.
Sound and Music Computing Conference. Abstract
(2008). Melody Characterization by a Fuzzy Rule System.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2004). A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2016). A Machine learning approach to discover rules for expressive performance actions in jazz guitar music.
Frontiers in Psycology. 7, 1965. Abstract
(2003). Learning Sets of Musical Rules.
Abstract
(2016). JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING.
ISMIR 2016.
(2015). Is an auditory P300-based Brain-Computer Musical Interface feasible?.
CMMR2015: International Workshop on BCMI.
(2005). Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2013). Inducing rules of ensemble music performance: a machine learning approach.
3rd international conference on Music & Emotion, Jyväskylä.
(2007). Identifying saxophonists from their playing styles.
30th AES Conference. Abstract
(2013). A High-Throughput Auditory P300 Interface for Everyone.
12th European AAATE Conference. 478-482. 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
(2010). Gesture sampling for instrumental sound synthesis: violin bowing as a case study.
International Computer Music Conference. Abstract
(2009). Genre Classification using Harmony Rules Induced from Automatic Chord Transcriptions.
International Society for Music Information Retrieval Conference. Abstract
(2008). Genre Classification of Music by Tonal Harmony.
International Workshop on Machine Learning and Music, International Conference on Machine Learning. Abstract
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2009). A Framework for Performer Identification in Audio Recordings.
International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
