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

Riadh Ksantini

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

Pageof 1
Sort By:
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 4, 2016
Feature-based active contour model and occluding object detectionSara Memar, Riadh Ksantini, Boubakeur Boufama
Neural Networks : the Official Journal of the International Neural Network Society|October 9, 2024
Rethinking deep clustering paradigms: Self-supervision is all you needAmal Shaheen, Nairouz Mrabah, Riadh Ksantini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 18, 2007
Weighted pseudometric discriminatory power improvement using a Bayesian logistic regression model based on a variational methodRiadh Ksantini, Djemel Ziou, Bernard Colin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2020
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids constructionNairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, et al.
Scientific Reports|June 6, 2026
An effective BiLSTM-CNN model for predicting large-scale temporal-spatial dynamics of normalized difference vegetation indexArbia Soula, Almudena Díaz Zayas, Riadh Ksantini, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 4, 2016
Feature-based active contour model and occluding object detectionSara Memar, Riadh Ksantini, Boubakeur Boufama
Neural Networks : the Official Journal of the International Neural Network Society|October 9, 2024
Rethinking deep clustering paradigms: Self-supervision is all you needAmal Shaheen, Nairouz Mrabah, Riadh Ksantini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 18, 2007
Weighted pseudometric discriminatory power improvement using a Bayesian logistic regression model based on a variational methodRiadh Ksantini, Djemel Ziou, Bernard Colin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2020
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids constructionNairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, et al.
Scientific Reports|June 6, 2026
An effective BiLSTM-CNN model for predicting large-scale temporal-spatial dynamics of normalized difference vegetation indexArbia Soula, Almudena Díaz Zayas, Riadh Ksantini, et al.
Pageof 1