Asosiy kontentga oʻtish
AkademIndex

Xizmatlar

Gabriella Olmo

8 ta ish

Туринский политехнический университет

AkademScholarda batafsil koʻrsatkichlar

  1. An algorithm for Parkinson’s disease speech classification based on isolated words analysis

    Federica Amato, Luigi Borzì, Gabriella Olmo +1

    MaqolaOchiq kirish20212 iqtibos
    ABI

  2. How resistant are levodopa‐resistant axial symptoms? Response of freezing, posture, and voice to increasing levodopa intestinal infusion rates in Parkinson disease

    Gabriele Imbalzano, Domiziana Rinaldi, Giovanna Calandra–Buonaura +11

    MaqolaOchiq kirishParkinson's Disease and Spinal DisordersEuropean Journal of Neurology20220 iqtibos
    ABI

  3. Obesity and Gastro-Esophageal Reflux voice disorders: a Machine Learning approach

    Federica Amato, Maria Fasani, Glauco Raffaelli +5

    MaqolaVoice and Speech Disorders2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)20220 iqtibos
    ABI

  4. Beyond breathalyzers: AI-powered speech analysis for alcohol intoxication detection

    Federica Amato, Valerio Cesarini, Gabriella Olmo +2

    MaqolaAnomaly Detection Techniques and ApplicationsExpert Systems with Applications20240 iqtibos
    ABI

  5. Exploring Heart Rate Variability Feature Importance for REM Sleep Behavior Disorder Classification: A Comprehensive Multi Dataset Study

    Umberto Mosca, Irene Rechichi, Alessandro Cicolin +1

    PreprintOchiq kirishHeart Rate Variability and Autonomic ControlResearch Square20250 iqtibos
    ABI

  6. Ultra-Short-Term HRV and EDA Features for Machine-Learning-Based Arousal Detection in Exergaming

    Gianluca Amprimo, Giulia Masi, Irene Rechichi +7

    BoshqaOchiq kirishZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  7. Ultra-Short-Term HRV and EDA Features for Machine-Learning-Based Arousal Detection in Exergaming

    Gianluca Amprimo, Giulia Masi, Irene Rechichi +7

    BoshqaZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  8. Ultra-Short-Term HRV and EDA Features for Machine-Learning-Based Arousal Detection in Exergaming

    Gianluca Amprimo, Giulia Masi, Irene Rechichi +7

    Boshqa20260 iqtibos
    ABI