Related references
Note: Only part of the references are listed.Subject matching for cross-subject EEG-based recognition of driver states related to situation awareness
Ruilin Li et al.
METHODS (2022)
Spatio-time-frequency joint sparse optimization with transfer learning in motor imagery-based brain-computer interface system
Minmin Zheng et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
A comparative analysis of signal processing and classification methods for different applications based on EEG signals
Ashima Khosla et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach
He He et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)
SAFE: An EEG dataset for stable affective feature selection
Zirui Lan et al.
ADVANCED ENGINEERING INFORMATICS (2020)
EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system
Minmin Zheng et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2020)
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks
O-Yeon Kwon et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression
Yaqi Chu et al.
JOURNAL OF NEURAL ENGINEERING (2020)
Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces
Pedro Luiz Coelho Rodrigues et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
Fatemeh Fahimi et al.
JOURNAL OF NEURAL ENGINEERING (2019)
An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface
Yijun Zou et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2019)
Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces
Paolo Zanini et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)
Real-time EEG-based emotion monitoring using stable features
Zirui Lan et al.
VISUAL COMPUTER (2016)
Brain activity during observation and motor imagery of different balance tasks: An fMRI study
Wolfgang Taube et al.
CORTEX (2015)
Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
Etienne Combrisson et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
Importance-weighted covariance estimation for robust common spatial pattern
Alessandro Balzi et al.
PATTERN RECOGNITION LETTERS (2015)
Single-trial classification of EEG in a visual object task using ICA and machine learning
Andrew X. Stewart et al.
JOURNAL OF NEUROSCIENCE METHODS (2014)
Multiclass Brain-Computer Interface Classification by Riemannian Geometry
Alexandre Barachant et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
A subject transfer framework for EEG classification
Wenting Tu et al.
NEUROCOMPUTING (2012)
Review of the BCI competition IV
Michael Tangermann et al.
FRONTIERS IN NEUROSCIENCE (2012)
Domain Adaptation via Transfer Component Analysis
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)