88 citations · 244 across the 10 of their papers we have counts for
5 papers · 1 filter
Hybrid Machine Learning techniques in the management of harmful algal blooms impact
Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz +2
Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filte…
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring
Enrique Fernandez-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos +1
Over the years, several approaches have tried to tackle the problem of performing an automatic scoring of the sleeping stages. Although any polysomnography usually collects over a…
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos
Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of…
A New Deterministic Technique for Symbolic Regression
Daniel Rivero, Enrique Fernandez-Blanco
This paper describes a new method for Symbolic Regression that allows to find mathematical expressions from a dataset. This method has a strong mathematical basis. As opposed to ot…
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications
Enrique Fernandez-Blanco, Daniel Rivero, Marcos Gestal +4
Data mining and data classification over biomedical data are two of the most important research fields in computer science. Among the great diversity of techniques that can be used…