Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines

(2017) Na Lu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain‐computer interface

(2017) Shen Zhang et al.   NEUROSCIENCE LETTERS

Gaussian-binary restricted Boltzmann machines for modeling natural image statistics

(2017) Jan Melchior et al.   PLoS One

EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks

(2016) Bradley J. Edelman et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Wishart Deep Stacking Network for Fast POLSAR Image Classification

(2016) Licheng Jiao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A novel deep learning approach for classification of EEG motor imagery signals

(2016) Yousef Rezaei Tabar et al.   Journal of Neural Engineering

A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals

(2016) Yang Li et al.   NEUROCOMPUTING

Simultaneous Design of FIR Filter Banks and Spatial Patterns for EEG Signal Classification

(2012) H. Higashi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces

(2012) Heung-Il Suk et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semi-supervised feature extraction for EEG classification

(2012) Wenting Tu et al.   PATTERN ANALYSIS AND APPLICATIONS

Oscillation of a class of partial functional population model

(2010) Changyou Wang et al.   JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

Single-trial analysis and classification of ERP components — A tutorial

(2010) Benjamin Blankertz et al.   NEUROIMAGE

Extreme energy difference for feature extraction of EEG signals

(2009) Shiliang Sun   EXPERT SYSTEMS WITH APPLICATIONS