2 citations · 4 across the 14 of their papers we have counts for
3 papers · 1 filter
Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka +1
We present BALDUR, a novel Bayesian algorithm designed to deal with multi-modal datasets and small sample sizes in high-dimensional settings while providing explainable solutions.…
The Relevance Feature and Vector Machine for health applications
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández +1
This paper presents the Relevance Feature and Vector Machine (RFVM), a novel model that addresses the challenges of the fat-data problem when dealing with clinical prospective stud…
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo +2
Feature selection in noisy label scenarios remains an understudied topic. We propose a novel genetic algorithm-based approach, the Noise-Aware Multi-Objective Feature Selection Gen…