publications

2024

  1. How to manage massive spatiotemporal dataset from stationary and non-stationary sensors in commercial DBMS?
    Vincenzo Norman Vitale, Sergio Di Martino, Adriano Peron, and 2 more authors
    Knowledge and Information Systems, 2024
  2. Exploring emergent syllables in end-to-end automatic speech recognizers through model explainability technique
    Vincenzo Norman Vitale, Francesco Cutugno, Antonio Origlia, and 1 more author
    Neural Computing and Applications, 2024
  3. Automatic Detection of Parkinson’s Disease with Connected Speech Acoustic Features: towards a Linguistically Interpretable Approach
    Marta Maffia, Loredana Schettino, and Vincenzo Norman Vitale
    In Proceedings of the 9th Italian Conference on Computational Linguistics CLiC-it 2023: Venice, Italy, November 30-December 2, 2023, 2024
  4. Enabling COVID-19 Detection from Multiple Audio Recordings: A Preliminary Comparison Between Cough, Breath, and Speech Signals
    Alfonso Maria Ponsiglione, Francesca Angelone, Rossella Sparaco, and 8 more authors
    In European Medical and Biological Engineering Conference, 2024

2023

  1. Large scale acoustic models: A new perspective
    Luigi Maria Giordano Orsini, Vincenzo Norman Vitale, and Francesco Cutugno
    Sistemi intelligenti, 2023
  2. Development of a binary classifier model from extended facial codes toward video-based pain recognition in cancer patients
    Marco Cascella, Vincenzo Norman Vitale, Fabio Mariani, and 2 more authors
    Scandinavian Journal of Pain, 2023
  3. Syllabic reduction in Italian connected speech: towards the integration of linguistic and computational approaches
    Loredana Schettino, Vincenzo Norman Vitale, and Francesco Cutugno
    In Proceedings of the 20th International Congress of Phonetic Sciences (ICPhS 2023), 2023
  4. Exploring Biosignals for Quantitative Pain Assessment in Cancer Patients: A Proof of Concept
    Marco Cascella, Vincenzo Norman Vitale, Michela D’Antò, and 4 more authors
    Electronics, 2023
  5. On Incrementing Interpretability of Machine Learning Models from the Foundations: A Study on Syllabic Speech Units.
    Vincenzo Norman Vitale, Loredana Schettino, Francesco Cutugno, and 1 more author
    In CLiC-it, 2023

2021

  1. Benchmarking management techniques for massive IIoT time series in a fog architecture
    Sergio Di Martino, Adriano Peron, Alberto Riccabone, and 1 more author
    International Journal of Grid and Utility Computing, 2021

2020

  1. Acoustic experiences for cultural heritage sites: a pilot experiment on spontaneous visitors’ interest
    Vincenzo Norman Vitale, Marco Olivieri, Antonio Origlia, and 3 more authors
    In Culture and Computing: 8th International Conference, C&C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings 22, 2020
  2. An Haptic Interface for Industrial High-Precision Manufacturing Tasks
    Sergio Di Martino, and Vincenzo Norman Vitale
    In Proceedings of the International Conference on Advanced Visual Interfaces, 2020
  3. Massive spatio-temporal mobility data: an empirical experience on data management techniques
    Sergio Di Martino, and Vincenzo Norman Vitale
    In International Symposium on Web and Wireless Geographical Information Systems, 2020

2019

  1. Industrial internet of things: persistence for time series with NoSQL databases
    Sergio Di Martino, Luca Fiadone, Adriano Peron, and 2 more authors
    In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2019
  2. Comparing different on-street parking information for parking guidance and information systems
    Sergio Di Martino, Vincenzo Norman Vitale, and Fabian Bock
    In 2019 IEEE Intelligent Vehicles Symposium (IV), 2019
  3. Investigating the influence of on-street parking guidance strategies on urban mobility
    Sergio Di Martino, Vincenzo Norman Vitale, and Fabian Bock
    In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2019