135 citations · 166 across the 5 of their papers we have counts for
5 papers
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira +3
This paper explores the application of Human-in-the-Loop (HITL) strategies in training machine learning models in the medical domain. In this case a doctor-in-the-loop approach is…
Random Forest-Based Prediction of Stroke Outcome
Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato-Abad +9
We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques…
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…
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
Carlos Fernandez-Lozano, Ruben F. Cuinas, Jose A. Seoane +3
Signaling proteins are an important topic in drug development due to the increased importance of finding fast, accurate and cheap methods to evaluate new molecular targets involved…
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…