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

Brais Cancela

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 13, 2020
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi EquationsBrais Cancela, Amparo Alonso-Betanzos
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2023
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksBrais Cancela, Veronica Bolon-Canedo, Amparo Alonso-Betanzos
IEEE Transactions on Neural Networks and Learning Systems|August 6, 2025
Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression ModelsJorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdinas, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 12, 2021
Machine learning techniques to predict different levels of hospital care of CoVid-19Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 13, 2020
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi EquationsBrais Cancela, Amparo Alonso-Betanzos
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2023
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksBrais Cancela, Veronica Bolon-Canedo, Amparo Alonso-Betanzos
IEEE Transactions on Neural Networks and Learning Systems|August 6, 2025
Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression ModelsJorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdinas, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 12, 2021
Machine learning techniques to predict different levels of hospital care of CoVid-19Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, et al.
Pageof 1