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

Simone Brugiapaglia

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society|October 19, 2024
Generalization limits of Graph Neural Networks in identity effects learningGiuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli
Neural Networks : the Official Journal of the International Neural Network Society|October 25, 2024
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networksBen Adcock, Simone Brugiapaglia, Nick Dexter, et al.
Pediatric Obesity|August 29, 2025
Development and Application of Children's Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic RiskStephanie Tanasia Saputra, Andraea Van Hulst, Mélanie Henderson, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|October 19, 2024
Generalization limits of Graph Neural Networks in identity effects learningGiuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli
Neural Networks : the Official Journal of the International Neural Network Society|October 25, 2024
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networksBen Adcock, Simone Brugiapaglia, Nick Dexter, et al.
Pediatric Obesity|August 29, 2025
Development and Application of Children's Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic RiskStephanie Tanasia Saputra, Andraea Van Hulst, Mélanie Henderson, et al.
Pageof 1