José Luis Rodríguez-Sotelo

13 papers C 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
EEG Dataset for Emotion Analysis.
Data
Catalina Aguirre-Grisales, Maria José Arbeláez-Arias, Andrés Felipe Valencia-Rincón, Héctor Fabio Torres Cardona, José Luis Rodríguez-Sotelo
2025 J jnl
Prediction of weaning failure using time-frequency analysis of electrocardiographic and respiration flow signals.
Biomed. Signal Process. Control.
Hernando González Acevedo, José Luis Rodríguez-Sotelo, Carlos Arizmendi, Beatriz F. Giraldo
2020 J jnl
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.
PeerJ Comput. Sci.
Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón
2019 — conf
Emotion Recognition System Based on EEG Signal Analysis Using Auditory Stimulation: Experimental Design.
HCI (34)
Catalina Aguirre-Grisales, Edwin Gaviria-Cardenas, Victor Hugo Castro-Londoño, Héctor Fabio Torres Cardona, José Luis Rodríguez-Sotelo
2019 — conf
Interpolation, a Model for Sound Representation Based on BCI.
HCI (15)
Héctor Fabio Torres Cardona, Catalina Aguirre-Grisales, Victor Hugo Castro-Londoño, José Luis Rodríguez-Sotelo
2018 C conf
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.
ISNN
Leandro Leonardo Lorente-Leyva, Israel David Herrera-Granda, Paul D. Rosero-Montalvo, Karina L. Ponce-Guevara, Andrés Eduardo Castro-Ospina, Miguel A. Becerra, Diego Hernán Peluffo-Ordóñez, José Luis Rodríguez-Sotelo
2017 C conf
Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering.
IDEAL
O. R. Oña-Rocha, O. T. Sánchez-Manosalvas, Ana Cristina Umaquinga-Criollo, P. D. Rosero-Montalvo, Luis E. Suárez-Zambrano, José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez
2017 — conf
Segment Clustering for Holter Recordings Analysis.
IWINAC (1)
José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez, D. López-Londoño, Andrés Eduardo Castro-Ospina
2017 — conf
Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach.
IWINAC (1)
José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, Francia Restrepo de Mejía, Diego Hernán Peluffo-Ordóñez, Jorge Serrano
2015 J jnl
The shape of dementia: new measures of morphological complexity in event-related potentials (ERP) and its application to the detection of Alzheimer's disease.
Medical Biol. Eng. Comput.
Alejandro Jiménez-Rodríguez, José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, J. M. Medina, Francia Restrepo de Mejía
2014 J jnl
Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques.
Entropy
José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, David Cuesta-Frau, Eva M. Cirugeda-Roldán, Diego Hernán Peluffo-Ordóñez
2012 J jnl
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering.
Comput. Methods Programs Biomed.
José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez, David Cuesta-Frau, Germán Castellanos-Domínguez
2009 J jnl
Unsupervised classification of atrial heartbeats using a prematurity index and wave morphology features.
Medical Biol. Eng. Comput.
José Luis Rodríguez-Sotelo, David Cuesta-Frau, Germán Castellanos-Domínguez