José Luis Rodríguez-Sotelo

According to our database, José Luis Rodríguez-Sotelo authored at least 11 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

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

Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón

PeerJ Comput. Sci., 2020

2019

Interpolation, a Model for Sound Representation Based on BCI.

Héctor Fabio Torres Cardona, Catalina Aguirre-Grisales, Victor Hugo Castro-Londoño, José Luis Rodríguez-Sotelo

Proceedings of the Augmented Cognition, 2019

Emotion Recognition System Based on EEG Signal Analysis Using Auditory Stimulation: Experimental Design.

Catalina Aguirre-Grisales, Edwin Gaviria-Cardenas, Victor Hugo Castro-Londoño, Héctor Fabio Torres Cardona, José Luis Rodríguez-Sotelo

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

2018

Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.

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

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017

Segment Clustering for Holter Recordings Analysis.

José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez, D. López-Londoño, Andrés Eduardo Castro-Ospina

Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach.

José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, Francia Restrepo de Mejía, Diego Hernán Peluffo-Ordóñez, Jorge Serrano

Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering.

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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2015

The shape of dementia: new measures of morphological complexity in event-related potentials (ERP) and its application to the detection of Alzheimer's disease.

Alejandro Jiménez-Rodríguez, José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, J. M. Medina, Francia Restrepo de Mejía

Medical Biol. Eng. Comput., 2015

2014

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

José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, David Cuesta-Frau, Eva M. Cirugeda-Roldán, Diego Hernán Peluffo-Ordóñez

Entropy, 2014

2012

Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering.

José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez, David Cuesta-Frau, Germán Castellanos-Domínguez

Comput. Methods Programs Biomed., 2012

2009

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

José Luis Rodríguez-Sotelo, David Cuesta-Frau, Germán Castellanos-Domínguez

Medical Biol. Eng. Comput., 2009