Miguel Almonacid Kroeger-rekin lankidetzan egindako argitalpenak (8)

2023

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

    Journal of Intelligent and Fuzzy Systems, Vol. 45, Núm. 5, pp. 8747-8760

2016

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

    IEEE Systems Journal, Vol. 10, Núm. 3, pp. 1082-1088

2012

  1. Control loop performance assessment with a dynamic neuro-fuzzy model (dFasArt)

    IEEE Transactions on Automation Science and Engineering, Vol. 9, Núm. 2, pp. 377-389

  2. Improving motor imagery classification with a new BCI design using neuro-fuzzy S-dFasArt

    IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 20, Núm. 1, pp. 2-7

2010

  1. Applying neuro-fuzzy model dFasArt in control systems

    Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 7, pp. 1053-1063

2009

  1. dFasArt: Dynamic neural processing in FasArt model

    Neural Networks, Vol. 22, Núm. 4, pp. 479-487

2008

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

    Neural Networks, Vol. 21, Núm. 7, pp. 1006-1019

2007

  1. Performance monitoring of closed-loop controlled systems using dFasArt

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)