Publicaciones (20) Publicaciones de PEDRO JESÚS MARTÍN SMITH

2020

  1. Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off

    PLoS ONE, Vol. 15, Núm. 6

2019

  1. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI

    Neurocomputing, Vol. 333, pp. 407-418

  2. 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

  1. 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

  2. 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

  1. 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)

  2. 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

  1. Assessing the noise immunity and generalization of radial basis function networks

    Neural Processing Letters, Vol. 18, Núm. 1, pp. 35-48

2000

  1. Competitive and temporal inhibition structures with spiking neurons

    Neural Processing Letters, Vol. 11, Núm. 3, pp. 197-208

  2. Neural network for demixing super-Gaussian signals

    Electronics Letters, Vol. 36, Núm. 17, pp. 1474-1475

  3. Self-organization by temporal inhibition (SOTI)

    Neural Processing Letters, Vol. 12, Núm. 3, pp. 199-213

1999

  1. 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

  1. 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

  1. 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

  1. Implementation and applications of multivalued decoders

    International Journal of Electronics, Vol. 70, Núm. 4, pp. 785-794

  2. 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

  1. Hardware implementation of a neuron model

    Applied Informatics

1988

  1. Design of decoders for Q-valued logic circuits.

    Proceedings of The International Symposium on Multiple-Valued Logic

1987

  1. 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

  2. Síntesis automatizada de funciones multivaluadas: multiplexores

    Universidad de Granada