16 citations · 29 across the 3 of their papers we have counts for
4 papers
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Berta Guijarro-Berdiñas +2
Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users a…
E2E-FS: An End-to-End Feature Selection Method for Neural Networks
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Classic embedded feature selection algorithms are often divided in two large groups: tree-based algorithms and lasso variants. Both approaches are focused in different aspects: whi…
Mining Human Mobility Data to Discover Locations and Habits
Thiago Andrade, Brais Cancela, João Gama
Many aspects of life are associated with places of human mobility patterns and nowadays we are facing an increase in the pervasiveness of mobile devices these individuals carry. Po…
A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos +1
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge…