Priming cross-session motor imagery classification with a universal deep domain adaptation framework

A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level

(2020) Nadia Mammone et al.   NEURAL NETWORKS

Deep learning for motor imagery EEG-based classification: A review

(2020) Ali Al-Saegh et al.   Biomedical Signal Processing and Control

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification

(2020) He Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

EEG Motor Imagery Classification With Sparse Spectrotemporal Decomposition and Deep Learning

(2020) Biao Sun et al.   IEEE Transactions on Automation Science and Engineering

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

(2020) Kaishuo Zhang et al.   NEURAL NETWORKS

Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

(2020) Fatemeh Fahimi et al.   IEEE Transactions on Neural Networks and Learning Systems

Multimodel Feature Reinforcement Framework Using Moore–Penrose Inverse for Big Data Analysis

(2020) Wandong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning for Electroencephalogram (EEG) classification tasks: A review

(2019) Alexander Craik et al.   Journal of Neural Engineering

Filtering techniques for channel selection in motor imagery EEG applications: a survey

(2019) Muhammad Zeeshan Baig et al.   ARTIFICIAL INTELLIGENCE REVIEW

Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion

(2019) Syed Umar Amin et al.   Future Generation Computer Systems-The International Journal of eScience

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

(2019) He He et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Beyond Sharing Weights for Deep Domain Adaptation

(2018) Artem Rozantsev et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces

(2018) Vernon Lawhern et al.   Journal of Neural Engineering

Sparse Support Matrix Machine

(2018) Qingqing Zheng et al.   PATTERN RECOGNITION

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

(2018) Siavash Sakhavi et al.   IEEE Transactions on Neural Networks and Learning Systems

An end-to-end deep learning approach to MI-EEG signal classification for BCIs

(2018) Hauke Dose et al.   EXPERT SYSTEMS WITH APPLICATIONS

Meeting brain–computer interface user performance expectations using a deep neural network decoding framework

(2018) Michael A. Schwemmer et al.   NATURE MEDICINE

Deep learning with convolutional neural networks for EEG decoding and visualization

(2017) Robin Tibor Schirrmeister et al.   HUMAN BRAIN MAPPING

A survey of multi-source domain adaptation

(2015) Shiliang Sun et al.   Information Fusion

Transferring Subspaces Between Subjects in Brain--Computer Interfacing

(2013) Wojciech Samek et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

(2010) Carmen Vidaurre et al.   NEURAL COMPUTATION

Composite Common Spatial Pattern for Subject-to-Subject Transfer

(2009) Hyohyeong Kang et al.   IEEE SIGNAL PROCESSING LETTERS

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING