| The plausibility of a string quartet performance in virtual reality I Bergström, S Azevedo, P Papiotis, N Saldanha, M Slater IEEE transactions on visualization and computer graphics 23 (4), 1352-1359, 2017 | 108 | 2017 |
| The sense of ensemble: a machine learning approach to expressive performance modelling in string quartets M Marchini, R Ramirez, P Papiotis, E Maestre Journal of New Music Research 43 (3), 303-317, 2014 | 61 | 2014 |
| Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data P Papiotis, M Marchini, A Perez-Carrillo, E Maestre Frontiers in psychology 5, 963, 2014 | 39 | 2014 |
| Enriched multimodal representations of music performances: Online access and visualization E Maestre, P Papiotis, M Marchini, Q Llimona, O Mayor, A Pérez, ... Ieee Multimedia 24 (1), 24-34, 2017 | 26 | 2017 |
| repoVizz: a framework for remote storage, browsing, annotation, and exchange of multi-modal data O Mayor, Q Llimona, M Marchini, P Papiotis, E Maestre Proceedings of the 21st ACM international conference on Multimedia, 415-416, 2013 | 20 | 2013 |
| Computational analysis of solo versus ensemble performance in string quartets: intonation and dynamics P Papiotis, M Marchini, E Maestre Gómez 12th International Conference on Music Perception and Cognition (ICMPC)-8th …, 2012 | 16 | 2012 |
| A hair ribbon deflection model for low-intrusiveness measurement of bow force in violin performance M Marchini, P Papiotis, A Pérez, E Maestre Proceedings of the International Conference on New Interfaces for Musical …, 2011 | 16 | 2011 |
| A computational approach to studying interdependence in string quartet performance P Papiotis Universitat Pompeu Fabra, 2016 | 15 | 2016 |
| Timing synchronization in string quartet performance: a preliminary study M Marchini, P Papiotis, E Maestre Gómez University of London, 2012 | 14 | 2012 |
| Inducing rules of ensemble music performance: A machine learning approach M Marchini, R Ramirez, P Papiotis, E Maestre University of Jyväskylä, Department of Music, 2013 | 7 | 2013 |
| Measuring ensemble synchrony through violin performance parameters: a preliminary progress report P Papiotis, M Marchini, E Maestre, A Perez International Conference on Intelligent Technologies for Interactive …, 2011 | 7 | 2011 |
| SYNCHRONIZATION OF INTONATION ADJUSTMENTS IN VIOLIN DUETS: TOWARDS AN OBJECTIVE EVALUATION OF MUSICAL INTERACTION P Papiotis, E Maestre, M Marchini, A Perez | 5* | |
| ‘Online access and visualization of enriched multimodal representations of music performance recordings: The quartet dataset and the repovizz system E Maestre, P Papiotis, M Marchini, Q Llimona, O Mayor IEEE Multimedia Mag 24 (1), 24-34, 2017 | 4 | 2017 |
| Prototyping interactions with Online Multimodal Repositories and Interactive Machine Learning CF Juliá, P Papiotis, SM Cincuegrani, S Jordá Proceedings of the 3rd International Symposium on Movement and Computing, 1-2, 2016 | 3 | 2016 |
| Multidimensional analysis of interdependence in a string quartet P Papiotis, M Marchini, E Maestre Gómez Associoation Européenne des Conservatoires, 2013 | 3 | 2013 |
| Investigating the relationship between expressivity and synchronization in ensemble performance: an exploratory study M Marchini, P Papiotis, E Maestre Proceedings of the International Symposium on Performance Science, 217-222, 2013 | 2 | 2013 |
| Aural-Based Detection and Assessment of Real Versus Artificially Synchronized String Quartet Performance P Papiotis, P Herrera, M Marchini University of Jyväskylä, Department of Music, 2013 | 1 | 2013 |
| Real-time accompaniment using lyrics-matching QBH P Papiotis, H Purwins Málaga (Spain), 2010 | 1 | 2010 |
| A LYRICS-MATCHING QBH SYSTEM FOR INTER-ACTIVE ENVIRONMENTS P Papiotis, H Purwins Proc. Sound and Music Comput. Conf, 2010 | 1 | 2010 |
| Ensemble Expressive Performance Dataset (EEP) E Maestre Gómez, M Marchini, P Papiotis, AA Pérez Carrillo | | 2014 |
Marco MarchiniResearcher, Spotify, ParisVerified email at spotify.com
