Julio Ibarrola

According to our database, Julio Ibarrola authored at least 13 papers between 2000 and 2023.

Collaborative distances:

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

2023

Applying deep learning in brain computer interface to classify motor imagery.

Jose-Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid

J. Intell. Fuzzy Syst., November, 2023

2016

Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI.

Miguel Almonacid, Julio Ibarrola, J. Manuel Cano Izquierdo

IEEE Syst. J., 2016

Are low cost Brain Computer Interface headsets ready for motor imagery applications?

Juan Antonio Martínez León, J. Manuel Cano Izquierdo, Julio Ibarrola

Expert Syst. Appl., 2016

2015

Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI.

Juan Antonio Martínez León, Jose-Manuel Cano Izquierdo, Julio Ibarrola

Comput. Intell. Neurosci., 2015

2013

How well Fuzzy ARTMAP approximates functions?

J. Manuel Cano Izquierdo, Miguel Pinzolas, Eduardo Gómez-Sánchez, Marcos J. Araúzo-Bravo, Julio Ibarrola

J. Intell. Fuzzy Syst., 2013

2012

Control Loop Performance Assessment With a Dynamic Neuro-Fuzzy Model (dFasArt).

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger

IEEE Trans Autom. Sci. Eng., 2012

2010

Applying neuro-fuzzy model dFasArt in control systems.

J. Manuel Cano Izquierdo, Miguel Almonacid, J. J. Ibarrola

Eng. Appl. Artif. Intell., 2010

2009

dFasArt: Dynamic neural processing in FasArt model.

J. Manuel Cano Izquierdo, Miguel Almonacid, Miguel Pinzolas, Julio Ibarrola

Neural Networks, 2009

2008

dNSP: A biologically inspired dynamic Neural network approach to Signal Processing.

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid

Neural Networks, 2008

2007

Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt.

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

2006

A neurofuzzy scheme to on-line identification in an adaptive-predictive control.

J. J. Ibarrola, Manuel Pinzolas, J. Cano

Neural Comput. Appl., 2006

2005

Improvement of the neighborhood based Levenberg-Marquardt algorithm by local adaptation of the learning coefficient.

Ana Toledo Moreo, Miguel Pinzolas, Julio Ibarrola, Gabriel Lera

IEEE Trans. Neural Networks, 2005

2000

A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function.

Manuel Pinzolas, J. J. Ibarrola, J. López

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000