José Luis Rodríguez-Sotelo

Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques

José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez et al. · Entropy · 2014 · 117 citations · Full text

Sleep Disorders, Eeg Analysis, Engineering +23

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

Reinel Tabares-Soto, Simón Orozco-Arias, Víctor Romero-Cano et al. · PeerJ Computer Science · 2020 · 107 citations · Full text

Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering

José Luis Rodríguez-Sotelo, Diego H. Peluffo-Ordóńez, David Cuesta–Frau et al. · Computer Methods and Programs in Biomedicine · 2012 · 35 citations

Electrophysiological Evaluation, Engineering, Data Science +7

Unsupervised classification of atrial heartbeats using a prematurity index and wave morphology features

José Luis Rodríguez-Sotelo, David Cuesta–Frau, G. Castellanos-Domínguez · Medical & Biological Engineering & Computing · 2009 · 18 citations

Morphology Features, Electrophysiological Evaluation, Atrial Heartbeats +6

Knee functional state classification using surface electromyographic and goniometric signals by means artificial neural networks

Marcelo Herrera-González, Gustavo Adolfo Martínez-Hernández, José Luis Rodríguez-Sotelo et al. · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2015 · 14 citations · Full text