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Journal Articles (51)

Beardsley M, Hernández Leo D, Ramírez R. Seeking reproducibility: assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning 2018; 34(4): 378-386.

Blanco AD, Ramírez R. Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study. Frontiers in Psychology 2019; 10(165).

Blanco AD, Tassani S, Ramirez R. Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks. Frontiers in Psychology 2021; 12( ): 1-15.

Blanco AD, Tassani S, Ramirez R. Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial. Frontiers in Psychology 2021; 12( ): 1-15.

Conklin D, Anagnostopoulou C, Ramirez R. Intelligent Data Analysis: Guest editorial. Intelligent Data Analysis 2010; 14(5).

Conklin D, Ramirez R. Introduction to the special issue on music and machine learning. Journal of New Music Research 2011; 40(2): 91-92.

Conklin D, Ramirez R, Iñesta JM. New Directions in Music and Machine Learning. Journal of New Music Research 2014; 43(3): 251-254.

Dalmazzo D, Ramírez R. Bowing gestures classification in violin performance: a machine learning approach. Frontiers in Psychology 2019; 10(344).

Dalmazzo D, Waddell G, Ramírez R. Applying deep learning techniques to estimate patterns of musical gesture. Frontiers in Psychology 2021; (11).

Giraldo S, Ramírez R. A Machine Learning Approach to Discover Rules for Expressive Performance Actions in Jazz Guitar Music. Frontiers in Neuroscience 2016; 7( ).

Giraldo SI, Ramírez R, Mayor O, Nou I, Ortega A, Perez-Carrillo A, Waddell G, Williamon A. Automatic assessment of tone quality in violin music performance. Frontiers in Psychology 2019; 10(334): 1-12.

Hazan A, Ramirez R. Modeling Expressive Performance: a Regression Tree Approach Based on Strongly Typed Genetic Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006; 3907( ): 676-687.

Héroux I, Giraldo S, Ramírez R, Dubé F, Creech A. Measuring the impacts of extra-musical elements in guitar music playing: a pilot study.. Frontiers in Psychology 2020; 11(1964): 1-10.

Iñesta JM, Conklin D, Ramírez R. Machine learning and music generation. Journal of Mathematics and Music 2016; 10(2): 87-91.

Kosta K, Ramírez R, Bandtlow OF, Chew E. Mapping between dynamic markings and performed loudness: a machine learning approach. Journal of Mathematics and Music 2016; 10(2): 149-172.

Maestre F, Ramírez R, Kersten S, Serra X. Expressive concatenative synthesis by reusing samples from real performance recordings. Computer Music Journal 2009; 33(4): 23-42.

Maestre Gómez E, Ramírez R. An approach to predicting bowing control parameter contours in violin performance. Intelligent Data Analysis 2010; 14(5): 587-599.

Marchini M, Ramirez R, Papiotis P, Maestre E. A Machine Learning Approach to String Quartet Expressive Performance Modeling. Journal of New Music Research 2014; ( ).

Marchini M, Ramirez R, Papiotis P, Maestre E. The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets. Journal of New Music Research 2014; 43(3): 303-317.

Marinescu M, Ramirez R. Learning singer-specific performance rules. International Journal of Modeling and Optimization 2012; 2(2): 97-102.

Ortega FJM, Giraldo S, Ramírez R. Phrase-Level Modeling of Expression in Violin Performances. Frontiers in Psychology 2019; 10(776).

Papatzikis E, Zeba F, Särkämö T, Ramirez R, Grau-Sánchez J, Tervaniemi M, Loewy J. Mitigating the impact of the novel coronavirus pandemic on neuroscience and music research protocols in clinical populations. Frontiers in Psychology 2020; (11).

Pérez A, Ramirez R, Kersten S. Modeling Moods in Violin Performances. Proceedings of the SMC Conferences 2008; ( ).

Pérez-Sancho C, Rizo D, Iesta JM, De León PJP, Kersten S, Ramirez R. Genre classification of music by tonal harmony. Intelligent Data Analysis 2010; 14(5): 533-545.

Ponce León P, Rizo D, Ramirez R, Iñesta JM. Melody Characterization by a Genetic Fuzzy System. Proceedings of the SMC Conferences 2008; ( ).

Ramirez R. First-order Rule Discovery with Ant Colony Optimization. Applied Soft Computing 2016; ( ).

Ramirez R. Inducing Musical Rules with ILP. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003; 2916( ): 502-504.

Ramirez R. Representing and executing real-time systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1998; 1470( ): 279-287.

Ramirez R. Concurrent object-oriented programming in Tempo++. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1996; 1179( ): 244-253.

Ramírez R, Giraldo S. A machine learning approach to ornamentation modeling and synthesis in jazz guitar. Journal of Mathematics and Music 2016; 10(2): 107-126.

Ramirez R, Hazan A. A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies. International Journal of Artificial Intelligence Tools 2006; 15( ): 673-691.

Ramirez R, Hazan A, Gomez E, Maestre E, Serra X. Discovering Expressive Transformation Rules from Saxophone Jazz Performances. Journal of New Music Research 2005; 34(4): 319-330.

Ramirez R, Hazan A, Maestre E. Understanding Expressive Music Performance Using Genetic Algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2005; 3449( ): 508-516.

Ramirez R, Hazan A, Maestre E, Serra X. A Genetic Rule-based Expressive Performance Model for Jazz Saxophone. Computer Music Journal 2008; 32(1): 338-350.

Ramirez R, Maestre E, Pertusa A, Gómez E, Serra X. Performance-based Interpreter Identification in Saxophone Audio Recordings. IEEE transactions on circuits and systems for video technology 2007; 17(3): 356-364.

Ramirez R, Maestre E, Serra X. A Rule-Based Evolutionary Approach to Music Performance Modeling. IEEE Transactions on Evolutionary Computation 2012; 16(1): 96-107.

Ramirez R, Maestre E, Serra X. Automatic Performer Identification in Celtic Violin Audio Recording. Journal of New Music Research 2011; 40(2): 165-174.

Ramirez R, Maestre E, Serra X. Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters 2010; 31(12): 1514-1523.

Ramírez R, Palencia-Lefler Ors M, Giraldo S, Vamvakousis Z. Musical neurofeedback for treating depression in elderly people. Frontiers in Neuroscience 2015; 9(354).

Ramirez R, Perez A, Kersten S, Rizo D. Modeling violin performances using inductive logic programming. Intelligent Data Analysis 2010; 14(5): 573-585.

Ramírez R, Planas Domingo J, Escudé N, Mercadé J, Farriols Danes C. EEG-based analysis of the emotional effect of music therapy on palliative care cancer patients. Frontiers in Psychology 2018; 9(254).

Ramirez R, Puiggros M. A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States, European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2007; ( ).

Ramirez R, Puiggros M. A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2007; 4426( ): 248-259.

Ramirez R, Santosa A. Constraint-based Synchronization and Verification of Distributed Java Programs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004; 3132( ): 473-474.

Ramirez R, Santosa A. Event Logic Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2001; 2127( ): 314-318.

Ramirez R, Santosa A. Implementing declarative concurrency in Java. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2000; 1900( ): 700-708.

Ramirez R, Vamvakousis Z. Detecting Emotion from EEG Signals using the Emotiv Epoc Device. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012; ( ).

Ramirez-Melendez R, Matamoros E, Hernandez Leo D, Mirabel J, Sanchez E, Escude N. Music-Enhanced Emotion Identification of Facial Emotions in Autistic Spectrum Disorder Children: A Pilot EEG Study. Brain Sciences 2022; 12(6): 1-11.

Ramirez-Melendez R, Reija X. The Creative Drummer: An EEG-Based Pilot Study on the Correlates of Emotions and Creative Drum Playing. Brain Sciences 2023; 13(1).

Sayis B., Ramirez R, Pares N. Mixed reality or LEGO game play? Fostering social interaction in children with Autism. Virtual reality 2022; 26(2): 771-787.

Vamvakousis Z, Ramirez R. The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Frontiers in Psychology 2016; 7( ): 1-14.

Books (1)

Ramirez R, Conklin D, Iñesta JM (eds.). Proceedings of the 10th International Workshop on Machine Learning and Music (MML 2017). 1 ed. Barcelona: 2017.

Book Chapters (7)

Ramirez A, Ramirez R. A Mathematical Analysis of Mexican Brick Vaults and Domes. In: AA.VV. Architecture and mathematics from antiquity to the future. 1 ed. Basel: Birkhauser Verlag; 2013.

Ramirez R. Modelling, Analysing, Identifying and Synthesizing Expressive Popular Music Performances. In: Kirke, Alexis; Reck Miranda, Eduardo. Guide to Computing for Expressive Music Performance. 1 ed. London - New York: Springer; 2013. p. 123-144.

Ramirez R. Identifying Famous Interpreters from Their Playing Style. In: Shen, Jialie et al., Editors. Intelligent Music Information Systems: Tools and Methodologies. 1 ed. Hershey, PA: Information Science Reference; 2008. p. 221-238.

Ramirez R. Identifying saxophonists from their playing styles. In: Shen, Jialie et al., Editors. Intelligent Music Information Systems: Tools and Methodologies. 1 ed. Hershey, PA: Information Science Reference; 2008. p. 102-119.

Ramirez R, Hazan A, Maestre E, Serra X. Evolutionary Computing for Expressive Music Performance. In: Romero, Juan; Machado, Penousal (Eds.). The Art of Artificial Evolution. 1 ed. Berlin-Heidelberg: Springer; 2008. p. 123-144.

Ramirez R, Hazan A, Maestre E, Serra X. A Machine Learning Approach to Expressive Performance in Jazz Standards. In: Valery A. Petrushin and Latifur Khan (eds.).. Multimedia Data Mining and Knowledge Discovery. 1 ed. London: Springer; 2007. p. 1-2.

Ramirez R, Hazan A, Maestre E, Serra X. A Data Mining Approach to Expressive Music Performance Modeling. In: Valery A. Petrushin and Latifur Khan (eds.).. Multimedia Data Mining and Knowledge Discovery. 1 ed. London: Springer; 2007. p. 379-399.

Manuals (47)

Gregory S, Ramirez R. Tempo: a Declarative Concurrent Programming Language. MIT Press; 1995.

Hazan A, Ramirez R, Maestre E, Perez A, Pertusa A. Modelling Expressive Performance: a Regression Tree Approach Based on Strongly Typed Genetic Programming. Springer-Verlag; 2006.

Ramirez R. Concurrent and Distributed Programming Using Constraint Logic Programs. ACM Press; 2004.

Ramirez R. constraint-based methodology for coordination in multi-agent systems. 2002.

Ramirez R. A logical approach for specification and execution of concurrent real-time systems. IEEE Press; 1997.

Ramirez R. Precedence Constraints in Tempo. 1995.

Ramirez R. Inductive Logic Programming and Music. ICMA Press; 2004.

Ramirez R. Inductive Logic Programming for Learning Musical Rules. 2003.

Ramirez R. Inducing Musical Rules with ILP. Springer-Verlag; 2003.

Ramirez R. Time, Communication and Synchronisation in an Agent-Based Programming Language. IEEE Press; 1998.

Ramirez R. Representing and executing real-time systems. Springer-Verlag; 1998.

Ramírez R. A Concurrent Object-Oriented Real-Time Programming Language. 1998.

Ramirez R. Declarative Concurrent Object-Oriented Programming in Tempo++. 1995.

Ramirez R. A logic-based concurrent object-oriented programming language . 1996.

Ramirez R. A coordination model for real-time programming. Springer-Verlag; 1999.

Ramirez R. Concurrent Object-Oriented Programming in Tempo++. Springer-Verlag; 1996.

Ramirez R. Learning Sets of Musical Rules. ICMA Press; 2003.

Ramirez R. Towards declarative concurrent real-time programming. Springer-Verlag; 1997.

Ramirez R. Nets, Logic and Object-Oriented Programming. 1995.

Ramirez R, Hazan A. Understanding Expressive Music Performance Using Genetic Algorithms. Springer-Verlag; 2005.

Ramirez R, Hazan A. A Learning Scheme for Generating Expressive Music Performances of Jazz Standards. 2005.

Ramirez R, Hazan A. Rule induction for expressive music performance modeling. 2004.

Ramirez R, Hazan A. An Approach to Expressive Music Performance Modeling. 2005.

Ramirez R, Hazan A. Learning Expressive Performance Rules in Jazz. ICMA Press; 2004.

Ramirez R, Hazan A. Modeling Expressive Music Performance in Jazz. AAAI Press; 2005.

Ramirez R, Hazan A, Gomez E, Maestre E. A Machine Learning Approach to Expressive Performance in Jazz Standards. 2004.

Ramirez R, Hazan A, Gomez E, Maestre E. Understanding Expressive Transformations in Saxophone Jazz Performances Using Inductive Machine Learning. 2004.

Ramirez R, Hazan A, Maestre E. A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. AAAI Press; 2006.

Ramirez R, Hazan A, Maestre E. Intra-note Features Prediction Model for Jazz Saxophone Performance. 2005.

Ramirez R, Hazan A, Maestre E, Serra X. Evolutionary Expressive Music Performance Modeling. Springer; 2006.

Ramirez R, Hazan A, Maestre E, Serra X. A Data Mining Approach to Expressive Music Performance Modeling. Springer; 2006.

Ramirez R, Martinez J, Santosa A. Poster Presentation: Constraint-based Synchronization and Verification of Distributed Java Programs. Springer-Verlag; 2004.

Ramirez R, Martinez J, Santosa A. Model Checking Constraint-based Concurrent Java Programs. 2004.

Ramirez R, Martinez J, Santosa A. Constraint-based Concurrent and Distributed programming in Java. 2004.

Ramirez R, Martinez J, Santosa A. The Implementation of a Constraint-based Distributed Java Programming Framework. ISCA Press; 2004.

Ramirez R, Martinez J, Santosa A. Constraint-based Synchronization and Verification of Distributed Java Programs. ACM Press; 2004.

Ramirez R, Peralta J. A constraint-based melody harmonizer. 1998.

Ramirez R, Santosa A. Formal Verification of Concurrent and Distributed Constraint-based Java Programs. IEEE Press; 2005.

Ramirez R, Santosa A. Event Logic Programming. Springer-Verlag; 2001.

Ramirez R, Santosa A. An Aspect-Oriented Framework for Concurrent Applications. 2003.

Ramirez R, Santosa A. A Methodology for Concurrent and Distributed Java Applications. IEEE Computer Society Press; 2003.

Ramirez R, Santosa A. A Methodology for Reliable Concurrent Programming. Chillarege Press; 2002.

Ramirez R, Santosa A. A Declarative Approach to Concurrency in Java. 2000.

Ramirez R, Santosa A. Distributed Programming Using Constraint Logic Programs. CSREA Press; 2002.

Ramirez R, Santosa A. Declarative concurrency in Java. Springer-Verlag; 2000.

Ramirez R, Santosa A, Wei Hong L. Implementing declarative concurrency in Java. Springer-Verlag; 2000.

Ramirez R, Santosa A, Yap R. Concurrent programming made easy. IEEE Press; 2000.

Conference proceedings (29)

Anglade A, Ramirez R, Dixon S. Genre classification using harmony rules induced from automatic chord transcriptions. In: VV.AA.. Proceedings of the 10th International Society for Music Information Retrieval Conference ISMIR 2009. 1 ed. Kobe: International Society for Music Information Retrieval; 2009. p. 669-674.

Anglade A, Ramirez R, Dixon S. First-order logic classification models of musical genres based on harmony. In: VV.AA.. Sound and Music Computing Conference 2009. 1 ed. MIT Press; 2009. p. 309-314.

Bantula H, Giraldo S, Ramirez R. Jazz ensemble expressive performance modeling. In: Devaney J, Mandel MI, Turnbull D, Tzanetakis G (eds.). Proceedings of the 17th International Society for Music Information Retrieval Conference ISMIR 2016. 1 ed. ISMIR; 2016. p. 674-680.

Blanco AD, Ramirez R. Neural correlates of bow learning technique. In: Ramirez R, Conklin D, Iñesta JM (eds.). Proceedings of the 10th International Workshop on Machine Learning and Music (MML 2017). 1 ed. Barcelona: 2017. p. 1-6.

Blanco AD, Ramírez R. Evaluation of audio-based feedback technologies for bow learning technique in violin beginners. In: AA. VV.. Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. 1 ed. 2017. p. 41-43.

Dalmazzo D, Tassani S, Ramírez R. A Machine learning approach to violin bow technique classification: a comparison between IMU and MOCAP systems. In: Matthies DJC, Haescher M, Yordanova K, Bieber G, Schröder M, Kirste T, Urban, B (eds.). 5th international Workshop on Sensor-based Activity Recognition and Interaction, Proceedings. 1 ed. Berlin: Association for Computing Machinery; 2018.

Dalmazzo, David; Ramírez, Rafael. Air Violin: A Machine Learning Approach to Fingering Gesture Recognition. In: -. MIE 2017: 1st international workshop on multimodal interaction for education. 1 ed. Glasgow: ACM, 2017; 2017. p. 63-66.

Giraldo S, Ortega A, Perez A, Ramírez R, Waddell G, Williamon A. Automatic assessment of violin performance using dynamic time warping classification. In: -. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 1 ed. IEEE; 2018. p. 1-3.

Giraldo S, Ramirez R. Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music. In: -. International Conference on New Music Concepts. 1 ed. ABEditore; 2015.

Giraldo S, Ramirez R. Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms. In: VV.AA.. International Computer Music Conference/Sound and Music Computing Conference. 1 ed. 2014.

Hernández D, Díaz D, Ramírez R. The effect of using a talking head in academic videos: An EEG study. In: AA.VV.. 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT). 1 ed. huanlien: IEEE; 2015. p. 367-369.

Kersten S, Ramirez R. Concatenative synthesis of expressive saxophone performance. In: Supper, Martin; Weinzierl, Stefan (eds.). SMC 08 5th Sound and Music Computing Conference sound in space - space in sound, July 31st - August 3rd, 2008, Berlin, Germany proceedings. 1 ed. Berlin: Universita¿tsverlag der TU, Universita¿tsbibliothek; 2008.

Marinescu MC, Ramirez R. A timing-based classification method for human voice in opera recordings. In: AA.VV.. 8th International Conference on Machine Learning and Applications, ICMLA 2009. 1 ed. IEEE; 2009. p. 577-582.

Marinescu MC, Ramirez R. Expressive performance in the human tenor voice. In: Supper, Martin; Weinzierl, Stefan (eds.). SMC 08 5th Sound and Music Computing Conference sound in space - space in sound, July 31st - August 3rd, 2008, Berlin, Germany proceedings. 1 ed. Berlin: Universita¿tsverlag der TU, Universita¿tsbibliothek; 2008.

Martínez-Peláez JJ, Buenabad-Chávez J, Rangel-García J, Ramírez-Meléndez R. BDSP: A big data start platform. In: Pei J., Tang J., Silvestri F. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. 1 ed. Association for Computing Machinery; 2015. p. 1110-1117.

Muneratti Ortega FJ, Perez-Carrillo A, Ramírez R. Predicting Dynamics in Violin Pieces with Features from Melodic Motifs. In: Cellier P, Driessens K (eds.). Machine Learning and Knowledge Discovery in Databases International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. 1 ed. Springer Nature; 2019. p. 517-523.

Ortega FJM, Giraldo S, Ramírez R. Phrase-level modeling of expression in violin performances. In: -. 10th International Workshop on Machine Learning and Music. 1 ed. 2017. p. 49-54.

Ortega FJM, Giraldo S, Ramírez R. Bowing modeling for violin students assistance. In: AA. VV.. Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. 1 ed. 2017. p. 60-62.

Puiggròs M, Gómez Gutiérrez E, Ramírez R, Serra X, Bresin R. Automatic characterization of ornamentation from bassoon recordings for expressive synthesis. In: Baroni, M (ed.). Proceedings of 9th International Conference on Music Perception and Cognition. 1 ed. Society for Music Perception & Cognition; European Society for the Cognitive Sciences of Music; 2006. p. 1533-1538.

Ramirez R. Relational-AntMiner: First-order rule discovery with ant colony optimization. In: AA.VV.. Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. 1 ed. Institute of Electrical and Electronics Engineers; 2016. p. 47-50.

Ramirez R. Ant colony optimization for first-order rule discovery. In: AA.VV.. 2015 IEEE Symposium Series on Computational Intelligence, SSCI. 1 ed. IEEE; 2015. p. 1141-1145.

Ramirez R, Conklin D, Anagnostopoulou C. MML'10 Chairs' welcome message. In: AAVV. Proceedings of 3rd international workshop on Machine learning and music. 1 ed. ACM; 2010.

Ramirez R, Gómez E, Vicente V, Puiggros M, Hazan A, Maestre E. Modeling Expressive Music Performance in Bassoon Audio Recordings. In: A.A.V.V. Intelligent Computing in Signal Processing and Pattern Recognition. 1 ed. Berlin: Springer; 2006. p. 951-957.

Ramirez R, Santosa A. A framework for separation of concerns in concurrent programming(. In: AA.VV.. 31st Annual International Computer Software and Applications Conference, COMPSAC 2007. 1 ed. IEEE; 2007. p. 619-624.

Ramirez R, Volpe G, Canepa C, Ghisio S, Kolykhalova K, Giraldo S, Mayor O, Perez A, Mancini M, Volta E, Waddell G, Williamon A. Enhancing music learning with smart technologies. In: -. ACM International Conference Proceeding Series. 1 ed. 2018.

Sayis B, Crowell C, Benitez J, Ramirez R, Pares N. Computational modeling of psycho-physiological arousal and social initiation of children with autism in interventions through full-body interaction. In: AA.VV.. Proceedings 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). 1 ed. Cambridge: IEEE; 2019. p. 573-579.

Vamvakousis Z, Ramirez R. Is an auditory P300-based Brain-Computer Musical Interface feasible?. In: -. CMMR2015: International Workshop on BCMI. 1 ed. Springer Verlag; 2015.

Vamvakousis Z, Ramirez R. P300 Harmonies: A Brain-Computer Musical Interface. In: VV.AA.. International Computer Music Conference/Sound and Music Computing Conference. 1 ed. 2014.

Vamvakousis Z, Ramirez R. A High-Throughput Auditory P300 Interface for Everyone. In: Encarnaçao P, Azevedo L, Jan Gelderblom G, Newell AF, Mathiassen NE. Assistive technology from research to practice, AAATE 2013. 1 ed. IOS Press; 2013. p. 478-482.

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