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

Davide Bacciu

Showing results (1-10 of 23) with videos related to

Pageof 3
Sort By:
IEEE Transactions on Neural Networks|November 13, 2008
Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clusteringDavide Bacciu, Antonina Starita
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2022
Explaining Deep Graph Networks via Input PerturbationDavide Bacciu, Danilo Numeroso
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Augmenting Recurrent Neural Networks Resilience by DropoutDavide Bacciu, Francesco Crecchi
IEEE Transactions on Neural Networks and Learning Systems|April 3, 2024
Deep Learning for Dynamic Graphs: Models and BenchmarksAlessio Gravina, Davide Bacciu
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Compositional generative mapping for tree-structured data--part I: bottom-up probabilistic modeling of treesDavide Bacciu, Alessio Micheli, Alessandro Sperduti
Artificial Intelligence in Medicine|March 8, 2020
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)Elisa Ferrari, Alessandra Retico, Davide Bacciu
Entropy (Basel, Switzerland)|August 27, 2021
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical SignalsMichele Resta, Anna Monreale, Davide Bacciu
Artificial Intelligence in Medicine|June 3, 2025
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networksLorenzo Simone, Davide Bacciu, Vincenzo Gervasi
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Generative Kernels for Tree-Structured DataDavide Bacciu, Alessio Micheli, Alessandro Sperduti
IEEE Transactions on Neural Networks and Learning Systems|May 13, 2022
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point ProcessesDavide Bacciu, Davide Morelli, Vlad Pandelea
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks|November 13, 2008
Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clusteringDavide Bacciu, Antonina Starita
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2022
Explaining Deep Graph Networks via Input PerturbationDavide Bacciu, Danilo Numeroso
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Augmenting Recurrent Neural Networks Resilience by DropoutDavide Bacciu, Francesco Crecchi
IEEE Transactions on Neural Networks and Learning Systems|April 3, 2024
Deep Learning for Dynamic Graphs: Models and BenchmarksAlessio Gravina, Davide Bacciu
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Compositional generative mapping for tree-structured data--part I: bottom-up probabilistic modeling of treesDavide Bacciu, Alessio Micheli, Alessandro Sperduti
Artificial Intelligence in Medicine|March 8, 2020
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)Elisa Ferrari, Alessandra Retico, Davide Bacciu
Entropy (Basel, Switzerland)|August 27, 2021
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical SignalsMichele Resta, Anna Monreale, Davide Bacciu
Artificial Intelligence in Medicine|June 3, 2025
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networksLorenzo Simone, Davide Bacciu, Vincenzo Gervasi
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Generative Kernels for Tree-Structured DataDavide Bacciu, Alessio Micheli, Alessandro Sperduti
IEEE Transactions on Neural Networks and Learning Systems|May 13, 2022
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point ProcessesDavide Bacciu, Davide Morelli, Vlad Pandelea
Pageof 3