Biblio
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(2017). Air Violin: A Machine Learning Approach to Fingering Gesture Recognition.
MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
(2016). Digital Musical Instruments for People with Physical Disabilities.
Department of Information and Communication Technologies. 163.
(2016). Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach.
Department of Information and Communication Technologies. 158.
(2016). JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING.
ISMIR 2016.
(2016). The EyeHarp: A Gaze-Controlled Digital Musical Instrument.
Frontiers in Psychology . 7,
(2015). EEG Signal classification in a Brain-Computer Music Interface.
8th International Workshop on Machine Learning and Music. 28-30.
(2015). Is an auditory P300-based Brain-Computer Musical Interface feasible?.
CMMR2015: International Workshop on BCMI.
(2015). Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music.
International Conference on New Music Concepts. Abstract
(2015). Computational Modelling of Ornamentation in Jazz Guitar Music.
International Symposium in Performance Science. 150-151.
(2015). A PERCUSSIVE MUSICAL INTERFACE FOR A QUADRIPLEGIC PATIENT.
International Symposium on Performance Science 2015. 60-61.
(2015). Musical neurofeedback for treating depression in elderly people.
Frontiers in Neuroscience. 9(354),
(2014). Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms.
International Computer Music Conference/Sound and Music Computing Conference. Abstract
(2014). P300 Harmonies: A Brain-Computer Musical Interface.
International Computer Music Conference/Sound and Music Computing Conference. Abstract
(2014). The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets.
Journal of New Music Research. 43, 303-317.
(2013). Caracterización automática del cante flamenco a base de análisis de grabaciones..
Investigación y Flamenco (INFLA).
(2013). Real Time Modeling of Emotions by Linear Regression.
MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
(2013). A High-Throughput Auditory P300 Interface for Everyone.
12th European AAATE Conference. 478-482. Abstract
(2013). BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL.
3rd International Conference on Music & Emotion (ICME3).
(2013). Towards a Low Cost Mu-Rhythm Based BCI.
Fifth International Brain-Computer Interface Meeting 2013.
(2013). Inducing rules of ensemble music performance: a machine learning approach.
3rd international conference on Music & Emotion, Jyväskylä.
(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..
(2012). Temporal Control In the EyeHarp Gaze-Controlled Musical Interface.
New Interfaces for Musical Expression (NIME) 2012. Abstract
(2012). A Brain-Gaze Controlled Musical Interface.
Berlin BCI Workshop 2012 - Advances in Neurotechnology.
(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
