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Julio Ibarrola

J. J. Ibarrola

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Journal Articles

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2023
[j11]
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  - https://dblp.org/rec/journals/jifs/IzquierdoIA23
Jose-Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid:
Applying deep learning in brain computer interface to classify motor imagery. J. Intell. Fuzzy Syst. 45(5): 8747-8760 (2023)
2016
[j10]
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  - journals/eswa/LeonII16
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Juan Antonio Martínez León, J. Manuel Cano Izquierdo, Julio Ibarrola:
Are low cost Brain Computer Interface headsets ready for motor imagery applications? Expert Syst. Appl. 49: 136-144 (2016)
[j9]
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Miguel Almonacid, Julio Ibarrola, J. Manuel Cano Izquierdo:
Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI. IEEE Syst. J. 10(3): 1082-1088 (2016)
2015
[j8]
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  - journals/cin/LeonCI15
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Juan Antonio Martínez León, Jose-Manuel Cano Izquierdo, Julio Ibarrola:
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI. Comput. Intell. Neurosci. 2015: 781207:1-781207:17 (2015)
2013
[j7]
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  - journals/jifs/IzquierdoPGAI13
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J. Manuel Cano Izquierdo, Miguel Pinzolas, Eduardo Gómez-Sánchez, Marcos J. Araúzo-Bravo, Julio Ibarrola:
How well Fuzzy ARTMAP approximates functions? J. Intell. Fuzzy Syst. 25(2): 335-350 (2013)
2012
[j6]
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  - journals/tase/IzquierdoIK12
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J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger:
Control Loop Performance Assessment With a Dynamic Neuro-Fuzzy Model (dFasArt). IEEE Trans Autom. Sci. Eng. 9(2): 377-389 (2012)
2010
[j5]
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  - journals/eaai/IzquierdoAI10
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J. Manuel Cano Izquierdo, Miguel Almonacid, J. J. Ibarrola:
Applying neuro-fuzzy model dFasArt in control systems. Eng. Appl. Artif. Intell. 23(7): 1053-1063 (2010)
2009
[j4]
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  - journals/nn/IzquierdoAPI09
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J. Manuel Cano Izquierdo, Miguel Almonacid, Miguel Pinzolas, Julio Ibarrola:
dFasArt: Dynamic neural processing in FasArt model. Neural Networks 22(4): 479-487 (2009)
2008
[j3]
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  - journals/nn/IzquierdoIPA08
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J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid:
dNSP: A biologically inspired dynamic Neural network approach to Signal Processing. Neural Networks 21(7): 1006-1019 (2008)
2006
[j2]
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  - journals/nca/IbarrolaPC06
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J. J. Ibarrola, Manuel Pinzolas, J. Cano:
A neurofuzzy scheme to on-line identification in an adaptive-predictive control. Neural Comput. Appl. 15(1): 41-48 (2006)
2005
[j1]
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  - journals/tnn/MoreoPIL05
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Ana Toledo Moreo, Miguel Pinzolas, Julio Ibarrola, Gabriel Lera:
Improvement of the neighborhood based Levenberg-Marquardt algorithm by local adaptation of the learning coefficient. IEEE Trans. Neural Networks 16(4): 988-992 (2005)

Conference and Workshop Papers

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2007
[c2]
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  - conf/iwinac/IzquierdoIA07
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J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid:
Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt. IWINAC (2) 2007: 45-53
2000
[c1]
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  - conf/ijcnn/PinzolasIL00
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Manuel Pinzolas, J. J. Ibarrola, J. López:
A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function. IJCNN (1) 2000: 58-63

Coauthor Index

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