Research

    The goal of the Musimathics Lab is to use Artificial Intelligence, and specifically Computational Intelligence, for the development of music creative systems. Since its fundation in 2008, several projects have been realized involving Computational Intelligence techniques, such as Neural Network, Evolutionary Computation, and Swarm Intelligence.

    In recent years, projects have been carried out in various research areas including:

    • Evolutionary Music
    • Creative DNA Computing
    • Music Plagiarism
    • Algorithmic Music Composition
    • Music Styles Recognition
    • Ambient Intelligence & IoT
    • Music Gestures Recognition
    • HCI with Virtual Instruments
    • Music & Visualization

    Publications

    In the following we report the list of the publications organized in three categories: journals, conferences, and submitted.

    Journals

    • R. De Prisco, G. Zaccagnino, R. Zaccagnino. EvoComposer: An Evolutionary Algorithm for 4 voice Music Compositions. Evolutionary Computation Journal, vol. 28, p. 489-530 (2020), ISSN: 1063-6560, doi: 10.1162/evco a 00265.
    • A. Cosimato, R. De Prisco, A. Guarino, N. Lettieri, D. Malandrino, G. Sorrentino, R. Zaccagnino. The conundrum of success in music: playing it or talking about it?. IEEE Access, p. 123289- 123298, ISSN: 2169-3536 (2019), doi:10.1109/ACCESS.2019.2937743.
    • Delfina Malandrino, Donato Pirozzi, Rocco Zaccagnino. Learning the Harmonic Analysis: Is visualization an effective approach?. Multimedia Tools and Applications, p. 1-32 (2019), ISSN: 1380-7501, doi: 10.1007/s11042-019-07879-5.
    • Clelia De Felice, Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza. Splicing Music Composition. Information Sciences, vol. 385-386, p. 196-212 (2017), ISSN: 0020-0255, doi: 10.1016/j.ins.2017.01.004.
    • Roberto De Prisco, Delfina Malandrino, Donato Pirozzi, Gianluca Zaccagnino, Rocco Zaccagnino. Understanding the structure of music compositions: is visualization an effective approach?. Information Visualization, vol. 16, p. 139-152 (2017), ISSN: 1473-8716, doi: 10.1177/1473871616655468.

    Conferences

    • Gerardo Benevento, Roberto De Prisco, Alfonso Guarino, Nicola Lettieri, Delfina Malandrino, Rocco Zaccagnino. Human-Machine Teaming in Music: anchored narrative-graph Visualization and Machine Learning. In: 24 International Conference on Information Visualisation. ONLINE. 7-11 September 2020, Victoria University, Australia & Technische Universitat Wien, Austria. To appear.
    • Alfonso Guarino, Delfina Malandrino, Nicola Lettieri, Luca Peppe, Michele Spina, Rocco Zaccagnino. A Social Platform for Music: Learning and Making Compositions Through Collaboration and Social Interactions. In: International Conference on Systems and Informatics. p. 1004-1009, Shanghai, China, November 2-4, 2019, doi: 10.1109/ICSAI48974.2019.9010436.
    • Delfina Malandrino, Rocco Zaccagnino, Rosalba Zizza. A Multi-objective Optimization Model for Music Styles. 2nd International Conference on Computer Science and Artificial Intelligence (CSAI 2018). Shenzhen, China, December 08-10, 2018: 247-251.
    • Roberto De Prisco, Delfina Malandrino, Donato Pirozzi, Gianluca Zaccagnino, Rocco Zaccagnino. Evaluation Study of Visualisations for Harmonic Analysis of 4-Part Music. 22nd International Conference Information Visualisation (IV 2018), Fisciano, Italy, July 10-13, 2018: 484-489.
    • Delfina Malandrino, Donato Pirozzi, Rocco Zaccagnino. Visualization and Music Harmony: Design, Implementation, and Evaluation. 22nd International Conference Information Visualisation (IV 2018), Fisciano, Italy, July 10-13, 2018: 498-503.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza. A Kind of Bio-inspired Learning of mUsic stylE. 6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2017), Amsterdam, The Netherlands, April 19-21, 2017: 97-113.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino. Fuzzy vectorial-based similarity detection of music plagiarism. FUZZ-IEEE 2017: 1-6.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino. A computational intelligence text-based detection system of music plagiarism. ICSAI 2017: 519-524.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino. BAND: A mobile-based collaboration system for composing and playing music. ICSAI 2017: 1625-1630.
    • Roberto De Prisco, Antonio Esposito, Nicola Lettieri, Delfina Malandrino, Donato Pirozzi, Gianluca Zaccagnino, Rocco Zaccagnino. Music Plagiarism at a Glance:Metrics of Similarity and Visualizations. IV 2017: 410-415.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza. Splicing-Inspired Recognition and Composition of Musical Collectives Styles. TPNC 2017: 219-231.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino. Natural User Interfaces to Support and Enhance Real-Time Music Performance. AVI 2016: 204-211.
    • Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino. An Evolutionary Composer for Real-Time Background Music. EvoMUSART 2016: 135-151.
    • Roberto De Prisco, Nicola Lettieri, Delfina Malandrino, Donato Pirozzi, Gianluca Zaccagnino, Rocco Zaccagnino. Visualization of Music Plagiarism: Analysis and Evaluation. IV 2016: 177-182.
    • Clelia De Felice, Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza. Chorale Music Splicing System: An Algorithmic Music Composer Inspired by Molecular Splicing. EvoMUSART 2015: 50-61.
    • Delfina Malandrino, Donato Pirozzi, Gianluca Zaccagnino, Rocco Zaccagnino. A Color-Based Visualization Approach to Understand Harmonic Structures of Musical Compositions. IV 2015: 56-61.
    • Alfredo Capozzi, Roberto De Prisco, Michele Nasti, Rocco Zaccagnino. Musica Parlata: a methodology to teach music to blind people. ASSETS 2012: 245-246.
    • Roberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino. A Differential Evolution Algorithm Assisted by ANFIS for Music Fingering. ICAISC (SIDE-EC) 2012: 48-56.
    • Roberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino. A Genetic Algorithm for Dodecaphonic Compositions. EvoApplications (2) 2011: 244-253.
    • Roberto De Prisco, Paolo Sabatino, Gianluca Zaccagnino, Rocco Zaccagnino. A Customizable Recognizer for Orchestral Conducting Gestures Based on Neural Networks. EvoApplications (2) 2011: 254-263.
    • Giovanni Acampora, Josue Manuel Cadenas, Roberto De Prisco, Vincenzo Loia, Enrique Munoz Ballester, Rocco Zaccagnino. A hybrid computational intelligence approach for automatic music composition. FUZZ-IEEE 2011: 202-209.
    • Roberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino. A multi-objective differential evolution algorithm for 4-voice compositions. SDE 2011: 65-72.
    • Roberto De Prisco, Antonio Eletto, Antonio Torre, Rocco Zaccagnino. A Neural Network for Bass Functional Harmonization. EvoApplications (2) 2010: 351-360.
    • Roberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino.
    • EvoBassComposer:a multi-objective genetic algorithm for 4-voice compositions. GECCO 2010: 817-818.
    • Roberto De Prisco, Rocco Zaccagnino. An Evolutionary Music Composer Algorithm for Bass Harmonization. EvoWorkshops 2009: 567-572.

    Submitted

    • Roberto De Prisco, Alfonso Guarino, Nicola Lettieri, Delfina Malandrino, Rocco Zaccagnino. Providing music service in Ambient Intelligence: experiments with gym athletes. Expert Systems with Applications, Elsevier. ISSN: 0957-4174. Minor revision.
    • Roberto De Prisco, Delfina Malandrino, Luca Peppe, Michele Spina, Rocco Zaccagnino. SoMusic! A collaborative Web platform for composing, sharing, and learning music. Submitted to World Wide Web Journal, Springer. ISSN: 1386-145X (Print) 1573-1413.