Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification

Motor Imagery EEG Spectral-Spatial Feature Optimization Using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis

(2021) N.S. Malan et al.   IRBM

Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs

(2020) Jing Jiang et al.   Frontiers in Human Neuroscience

Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals

(2019) Nitesh Singh Malan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Medical Image Synthesis with Deep Convolutional Adversarial Networks

(2018) Dong Nie et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain–Computer Interface

(2018) Yong Jiao et al.   International Journal of Neural Systems

Towards correlation-based time window selection method for motor imagery BCIs

(2018) Jiankui Feng et al.   NEURAL NETWORKS

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

(2018) Dong Nie et al.   IEEE Transactions on Cybernetics

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images

(2018) Yongqin Zhang et al.   IEEE Transactions on Cybernetics

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

(2018) Yu Zhang et al.   IEEE Transactions on Cybernetics

EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots

(2018) Madiha Tariq et al.   Frontiers in Human Neuroscience

A Survey of Multi-View Representation Learning

(2018) Yingming Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space

(2018) Ioannis Xygonakis et al.   Computational Intelligence and Neuroscience

Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification

(2017) Yu Zhang et al.   International Journal of Neural Systems

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition

(2017) Yu Zhang et al.   NEUROCOMPUTING

Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata

(2017) Aiming Liu et al.   SENSORS

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

(2017) Xiaofeng Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Brain–computer interfaces for communication and rehabilitation

(2016) Ujwal Chaudhary et al.   Nature Reviews Neurology

Block-Row Sparse Multiview Multilabel Learning for Image Classification

(2016) Xiaofeng Zhu et al.   IEEE Transactions on Cybernetics

Pairwise Constraint-Guided Sparse Learning for Feature Selection

(2016) Mingxia Liu et al.   IEEE Transactions on Cybernetics

Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

(2015) Yu Zhang et al.   JOURNAL OF NEUROSCIENCE METHODS

Robust visual tracking via efficient manifold ranking with low-dimensional compressive features

(2015) Tao Zhou et al.   PATTERN RECOGNITION

Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives

(2014) Han Yuan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Discrimination Between Control and Idle States in Asynchronous SSVEP-Based Brain Switches: A Pseudo-Key-Based Approach

(2013) Jiahui Pan et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces

(2013) Hiroshi Higashi et al.   Computational Intelligence and Neuroscience

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

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

Critical issues in state-of-the-art brain–computer interface signal processing

(2011) Dean J Krusienski et al.   Journal of Neural Engineering

A review of optimization methodologies in support vector machines

(2011) John Shawe-Taylor et al.   NEUROCOMPUTING

Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs

(2011) Kai Keng Ang et al.   PATTERN RECOGNITION

Wavelet basis functions in biomedical signal processing

(2010) J. Rafiee et al.   EXPERT SYSTEMS WITH APPLICATIONS

A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

(2009) K.P. Thomas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

(2008) Benjamin Blankertz et al.   IEEE SIGNAL PROCESSING MAGAZINE