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

Marco Sciandrone

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Neural Networks and Learning Systems|September 29, 2015
Decomposition Techniques for Multilayer Perceptron TrainingLuigi Grippo, Andrea Manno, Marco Sciandrone
IEEE Transactions on Neural Networks and Learning Systems|February 11, 2016
An Optimization-Based Method for Feature Ranking in Nonlinear Regression ProblemsLuca Bravi, Veronica Piccialli, Marco Sciandrone
International Journal of Cardiology|July 18, 2025
"Reply to: Critical insights on: Predicting Takotsubo syndrome subtypes: An interpretable machine learning model for differentiating emotional versus physical Aetiologies"Diego Scuppa, Marco Sciandrone, Leonarda Galiuto
IEEE Transactions on Neural Networks|May 14, 2009
A convergent hybrid decomposition algorithm model for SVM trainingStefano Lucidi, Laura Palagi, Arnaldo Risi, et al.
International Journal of Cardiology|June 9, 2026
A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methodsAntonio M Sudoso, Lorenzo Ciarpaglini, Diego Scuppa, et al.
IEEE Transactions on Bio-Medical Engineering|February 23, 2010
Real-time epileptic seizure prediction using AR models and support vector machinesLuigi Chisci, Antonio Mavino, Guido Perferi, et al.
Acta Neurochirurgica|January 9, 2016
Intracranial pressure wave morphological classification: automated analysis and clinical validationCarlotta Ginevra Nucci, Pasquale De Bonis, Annunziato Mangiola, et al.
International Journal of Cardiology|June 13, 2025
Predicting takotsubo syndrome subtypes: An interpretable machine learning model for differentiating emotional versus physical aetiologiesDiego Scuppa, Francesca Colaceci, Marco Sciandrone, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|October 22, 2025
Exploring the potential of artificial intelligence in assessing the risk of gastric neoplastic lesions in patients with corpus atrophic gastritisEmanuele Dilaghi, Edoardo Cesaroni, Irene Ligato, et al.
Joint Bone Spine|October 16, 2021
Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohortFulvia Ceccarelli, Matteo Lapucci, Giulio Olivieri, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|September 29, 2015
Decomposition Techniques for Multilayer Perceptron TrainingLuigi Grippo, Andrea Manno, Marco Sciandrone
IEEE Transactions on Neural Networks and Learning Systems|February 11, 2016
An Optimization-Based Method for Feature Ranking in Nonlinear Regression ProblemsLuca Bravi, Veronica Piccialli, Marco Sciandrone
International Journal of Cardiology|July 18, 2025
"Reply to: Critical insights on: Predicting Takotsubo syndrome subtypes: An interpretable machine learning model for differentiating emotional versus physical Aetiologies"Diego Scuppa, Marco Sciandrone, Leonarda Galiuto
IEEE Transactions on Neural Networks|May 14, 2009
A convergent hybrid decomposition algorithm model for SVM trainingStefano Lucidi, Laura Palagi, Arnaldo Risi, et al.
International Journal of Cardiology|June 9, 2026
A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methodsAntonio M Sudoso, Lorenzo Ciarpaglini, Diego Scuppa, et al.
IEEE Transactions on Bio-Medical Engineering|February 23, 2010
Real-time epileptic seizure prediction using AR models and support vector machinesLuigi Chisci, Antonio Mavino, Guido Perferi, et al.
Acta Neurochirurgica|January 9, 2016
Intracranial pressure wave morphological classification: automated analysis and clinical validationCarlotta Ginevra Nucci, Pasquale De Bonis, Annunziato Mangiola, et al.
International Journal of Cardiology|June 13, 2025
Predicting takotsubo syndrome subtypes: An interpretable machine learning model for differentiating emotional versus physical aetiologiesDiego Scuppa, Francesca Colaceci, Marco Sciandrone, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|October 22, 2025
Exploring the potential of artificial intelligence in assessing the risk of gastric neoplastic lesions in patients with corpus atrophic gastritisEmanuele Dilaghi, Edoardo Cesaroni, Irene Ligato, et al.
Joint Bone Spine|October 16, 2021
Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohortFulvia Ceccarelli, Matteo Lapucci, Giulio Olivieri, et al.
Pageof 2