Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Francesca Dalia Faraci

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 14, 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty EstimatesLuigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci
Sleep|February 10, 2023
Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoringLuigi Fiorillo, Davide Pedroncelli, Valentina Agostini, et al.
Patterns (New York, N.Y.)|October 25, 2021
Addressing bias in big data and AI for health care: A call for open scienceNatalia Norori, Qiyang Hu, Florence Marcelle Aellen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Burnout Risk Prediction through Wearable Devices: An Initial AssessmentDavide Marzorati, Alvise Dei Rossi, Radoslava Svihrova, et al.
Frontiers in Digital Health|June 20, 2025
Designing digital health interventions with causal inference and multi-armed bandits: a reviewRadoslava Švihrová, Alvise Dei Rossi, Davide Marzorati, et al.
Communications Medicine|July 2, 2025
Overcoming data scarcity in life-threatening arrhythmia detection through transfer learningGiuliana Monachino, Beatrice Zanchi, Michael Wand, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|November 9, 2023
Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approachBeatrice Zanchi, Francesca Dalia Faraci, Ali Gharaviri, et al.
Computers in Biology and Medicine|November 17, 2023
Deep Generative Models: The winning key for large and easily accessible ECG datasets?Giuliana Monachino, Beatrice Zanchi, Luigi Fiorillo, et al.
Frontiers in Digital Health|September 15, 2025
Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary studyRadoslava Švihrová, Davide Marzorati, Michal Bechný, et al.
European Heart Journal. Digital Health|July 24, 2025
Synthetic electrocardiograms for Brugada syndrome: from data generation to expert cardiologists evaluationBeatrice Zanchi, Giuliana Monachino, Francesca Dalia Faraci, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 14, 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty EstimatesLuigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci
Sleep|February 10, 2023
Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoringLuigi Fiorillo, Davide Pedroncelli, Valentina Agostini, et al.
Patterns (New York, N.Y.)|October 25, 2021
Addressing bias in big data and AI for health care: A call for open scienceNatalia Norori, Qiyang Hu, Florence Marcelle Aellen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Burnout Risk Prediction through Wearable Devices: An Initial AssessmentDavide Marzorati, Alvise Dei Rossi, Radoslava Svihrova, et al.
Frontiers in Digital Health|June 20, 2025
Designing digital health interventions with causal inference and multi-armed bandits: a reviewRadoslava Švihrová, Alvise Dei Rossi, Davide Marzorati, et al.
Communications Medicine|July 2, 2025
Overcoming data scarcity in life-threatening arrhythmia detection through transfer learningGiuliana Monachino, Beatrice Zanchi, Michael Wand, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|November 9, 2023
Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approachBeatrice Zanchi, Francesca Dalia Faraci, Ali Gharaviri, et al.
Computers in Biology and Medicine|November 17, 2023
Deep Generative Models: The winning key for large and easily accessible ECG datasets?Giuliana Monachino, Beatrice Zanchi, Luigi Fiorillo, et al.
Frontiers in Digital Health|September 15, 2025
Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary studyRadoslava Švihrová, Davide Marzorati, Michal Bechný, et al.
European Heart Journal. Digital Health|July 24, 2025
Synthetic electrocardiograms for Brugada syndrome: from data generation to expert cardiologists evaluationBeatrice Zanchi, Giuliana Monachino, Francesca Dalia Faraci, et al.
Pageof 2