J. Manuel Cano Izquierdo

Orcid: 0000-0002-2748-5269

According to our database1, J. Manuel Cano Izquierdo authored at least 23 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Applying deep learning in brain computer interface to classify motor imagery.
J. Intell. Fuzzy Syst., November, 2023

2016
Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI.
IEEE Syst. J., 2016

Are low cost Brain Computer Interface headsets ready for motor imagery applications?
Expert Syst. Appl., 2016

2015
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI.
Comput. Intell. Neurosci., 2015

2013
How well Fuzzy ARTMAP approximates functions?
J. Intell. Fuzzy Syst., 2013

2012
Control Loop Performance Assessment With a Dynamic Neuro-Fuzzy Model (dFasArt).
IEEE Trans Autom. Sci. Eng., 2012

2010
Maneuver Prediction for Road Vehicles Based on a Neuro-Fuzzy Architecture With a Low-Cost Navigation Unit.
IEEE Trans. Intell. Transp. Syst., 2010

Maneuver prediction for road vehicles based on a novel neuro-fuzzy dynamic architecture.
Robotics Auton. Syst., 2010

Applying neuro-fuzzy model dFasArt in control systems.
Eng. Appl. Artif. Intell., 2010

2009
dFasArt: Dynamic neural processing in FasArt model.
Neural Networks, 2009

A New Metric for Supervised dFasArt Based on Size-Dependent Scatter Matrices That Enhances Maneuver Prediction in Road Vehicles.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

2008
dNSP: A biologically inspired dynamic Neural network approach to Signal Processing.
Neural Networks, 2008

2007
Supervised dFasArt: A Neuro-fuzzy Dynamic Architecture for Maneuver Detection in Road Vehicle Collision Avoidance Support Systems.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

2002
μARTMAP: use of mutual information for category reduction in Fuzzy ARTMAP.
IEEE Trans. Neural Networks, 2002

2001
Learning from noisy information in FasArt and FasBack neuro-fuzzy systems.
Neural Networks, 2001

On-Line Character Analysis and Recognition With Fuzzy Neural Networks.
Intell. Autom. Soft Comput., 2001

2000
MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998
Experimental study of a novel neuro-fuzzy system for on-line handwritten UNIPEN digit recognition.
Pattern Recognit. Lett., 1998

1997
Building Digital Libraries from Paper Documents, Using ART Based Neuro-Fuzzy Systems.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996
A new neuro-fuzzy system for logical labeling of documents.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1993
On-line handwritten symbol recognition, using an ART based neural network hierarchy.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993


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