PEDRO JESÚS
MARTÍN SMITH
Researcher in the period 2006-2021
Publications (20) PEDRO JESÚS MARTÍN SMITH publications
2020
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Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off
PLoS ONE, Vol. 15, Núm. 6
2019
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A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
Neurocomputing, Vol. 333, pp. 407-418
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Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI
Neurocomputing, Vol. 250, pp. 45-56
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Deep belief networks and multiobjective feature selection for BCI with multiresolution analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 28-39
2015
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A label-aided filter method for multi-objective feature selection in EEG classification for BCI
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Ingeniería de Computadores en la era del Big Data: Computación de altas prestaciones en clasificación y optimización
Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 5, pp. 17-27
2003
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Assessing the noise immunity and generalization of radial basis function networks
Neural Processing Letters, Vol. 18, Núm. 1, pp. 35-48
2000
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Competitive and temporal inhibition structures with spiking neurons
Neural Processing Letters, Vol. 11, Núm. 3, pp. 197-208
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Neural network for demixing super-Gaussian signals
Electronics Letters, Vol. 36, Núm. 17, pp. 1474-1475
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Self-organization by temporal inhibition (SOTI)
Neural Processing Letters, Vol. 12, Núm. 3, pp. 199-213
1999
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Supervised VQ learning based on temporal inhibition
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1995
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A VLSI approach to the implementation of additive and shunting neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1993
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A learning algorithm to obtain self-organizing maps using fixed neighbourhood Kohonen networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1991
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Implementation and applications of multivalued decoders
International Journal of Electronics, Vol. 70, Núm. 4, pp. 785-794
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Optimization problems on concurrent testing solved by neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1990
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Hardware implementation of a neuron model
Applied Informatics
1988
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Design of decoders for Q-valued logic circuits.
Proceedings of The International Symposium on Multiple-Valued Logic
1987
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Procedimiento de síntesis para circuitos decodificadores multivaluados
XXI Reunión bienal de la Real Sociedad española de Física: programa, Salamanca 4 al 10 de octubre, 1987
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Síntesis automatizada de funciones multivaluadas: multiplexores
Universidad de Granada