MOSCA, UMBERTO

MOSCA, UMBERTO  

Dipartimento di Automatica e Informatica  

048213  

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Citazione Data di pubblicazione Autori File
Exploring Heart Rate Variability Feature Importance for REM Sleep Behavior Disorder Classification: A Comprehensive Multi Dataset Study / Mosca, U., Rechichi, I., Cicolin, A., Olmo, G.. - 693:(2026), pp. 102-116. (19th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2025 Eindhoven (NL) 15-17 October 2025) [10.1007/978-3-032-27582-0_7]. 1-gen-2026 Mosca, UmbertoRechichi, IreneOlmo, Gabriella + Exploring Heart Rate Variability Feature Importance.pdf; _EAI_PervasiveHealth_25__HRV_Feature_Importance.pdf
Full-Night Comparison of ECG- and PPG-Derived Measures of Cardiac Variability for Sleep Disorder Screening / Ciampa, I., Perrone, B., Mosca, U., Fattori, E., Sinagra, S., Cicolin, A., Rechichi, I., Olmo, G.. - In: ALGORITHMS. - ISSN 1999-4893. - ELETTRONICO. - 19:7(2026). [10.3390/a19070531] 1-gen-2026 Ilaria CiampaBenedetta PerroneUmberto MoscaIrene RechichiGabriella Olmo + algorithms-19-00531.pdf
Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines / Digiacomo, F., Mosca, U., Ciampa, I., Rechichi, I., Cicolin, A., Olmo, G.. - (2026), pp. 1096-1101. (39th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2026 Limassol (CY) June 3-5 2026) [10.1109/CBMS69103.2026.00223]. 1-gen-2026 Digiacomo, FedericoMosca, UmbertoCiampa, IlariaRechichi, IreneOlmo, Gabriella + 499901b096.pdf; 2026191731.pdf
Wearable-Enabled Screening of RBD Through HRV-Based Machine Learning / Mosca, U.. - (2026), pp. 34-35. (2026 IEEE International Conference on Pervasive Computing and Communications Workshops and otherAffiliated Events, PerCom Workshops 2026 Pisa (ITA) 16-20 March 2026) [10.1109/percomworkshops68308.2026.11585203]. 1-gen-2026 Mosca, Umberto Wearable-Enabled_Screening_of_RBD_Through_HRV-Based_Machine_Learning.pdf; _2026__PerCom___PhD_Forum__IEEE_2_column_template_.pdf
Early Detection of Dysphagia Signs in Parkinson’s Disease: An Artificial Intelligence-Based Approach Using Non-Invasive Sensors / Gazzanti Pugliese Di Cotrone, M.A., Akhtar, N.F., Patera, M., Gallo, S., Mosca, U., Ghislieri, M., Ferraris, C., Suppa, A., Artusi, C.A., Zampogna, A., Amprimo, G., Imbalzano, G., Cerfoglio, S., Cimolin, V., Borzì, L., Olmo, G., Irrera, F.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 25:22(2025). [10.3390/s25226834] 1-gen-2025 Mosca, UmbertoGhislieri, MarcoAmprimo, GianlucaBorzì, LuigiOlmo, Gabriella + sensors-25-06834.pdf