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

Edoardo Vecchi

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Neural Computation|April 26, 2024
Gauge-Optimal Approximate Learning for Small Data ClassificationEdoardo Vecchi, Davide Bassetti, Fabio Graziato, et al.
Neural Computation|March 28, 2022
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data ProblemsEdoardo Vecchi, Lukáš Pospíšil, Steffen Albrecht, et al.
Journal of Imaging|June 23, 2022
Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed TomographyIllia Horenko, Lukáš Pospíšil, Edoardo Vecchi, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2022
On cheap entropy-sparsified regression learningIllia Horenko, Edoardo Vecchi, Juraj Kardoš, et al.
Frontiers in Neuroscience|April 17, 2026
Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouseSteffen Albrecht, Jens R Vandevelde, Edoardo Vecchi, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Neural Computation|April 26, 2024
Gauge-Optimal Approximate Learning for Small Data ClassificationEdoardo Vecchi, Davide Bassetti, Fabio Graziato, et al.
Neural Computation|March 28, 2022
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data ProblemsEdoardo Vecchi, Lukáš Pospíšil, Steffen Albrecht, et al.
Journal of Imaging|June 23, 2022
Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed TomographyIllia Horenko, Lukáš Pospíšil, Edoardo Vecchi, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2022
On cheap entropy-sparsified regression learningIllia Horenko, Edoardo Vecchi, Juraj Kardoš, et al.
Frontiers in Neuroscience|April 17, 2026
Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouseSteffen Albrecht, Jens R Vandevelde, Edoardo Vecchi, et al.
Pageof 1