DG_DA_fMedical_Survey/tables/EEG papers.md

Article	Year	Github Link/ Repo	DA/DG	Method	Dataset	Architecture	Multi-source or Single-source	Task	Domain
EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network	2022	link	DG	Architecture Embedded	Others	CNN	SS	Drowsiness Recognition	Cross-Subject
Domain-Invariant Representation Learning from EEG with Private Encoders	2022	-	DG	Multi-source Domain Alignment	SEED - DEAP - SEED-IV - DREAMER	ANN	MS	Emotion Recognition	Cross-Subject
Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition	2022	-	DG	Architecture Embedded	DEAP	CNN	SS	Drowsiness Recognition	Cross-Subject
Privacy-Preserving Domain Adaptation for Motor Imagery-based Brain-Computer Interfaces	2022	link	DA	Classifier Alignment - Data Augmentation - Self-supervised Learning	-	ANN	SS	Motor Imagery Classification	Cross-Subject
Deep BiLSTM neural network model for emotion detection using cross-dataset approach	2022	-	DG	Architecture Embedded	SEED - DEAP - Others	RNN	SS	Emotion Recognition	Cross-Dataset
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition	2022	link	DA	Instance Alignment	Others	ANN	MS	Visual Recognition	Cross-Subject
Motor Imagery Classification via Kernel-Based Domain Adaptation on an SPD Manifold	2022	-	DA	Domain Alignment - Pseudo-label Training	BCI Competition	Non-Deep	SS	Motor Imagery Classification	Cross-Subject
EEG-based emotion charting for Parkinson’s disease patients using Convolutional Recurrent Neural Networks and cross dataset learning	2022	-	DG	Architecture Embedded	SEED-IV - Others	CNN - RNN - Non-Deep	MS	Emotion Recognition	Cross-Dataset
Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold	2022	-	DA-DG	Adversarial Feature Alignment - Multi Source Domain Alignment	Others	ANN - Autoencoder	MS	Seizure Detection/Prediction	Cross-Subject
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis	2022	-	DA-DG	Adversarial Feature Alignment - Feature Disentanglement - Data Manipulation	Others	Autoencoder	MS	Tinnitus Diagnosis	Cross-Dataset
Exploiting Multiple EEG Data Domains with Adversarial Learning.	2022	link	DG	Adversarial Training	SEED - DEAP - SEED-IV - DREAMER	ANN-CNN	MS	evaluating subjects’ mental states	Cross-Dataset
Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition	2022	-	DA	Adversarial Feature Alignment	DEAP	GAN	SS	Emotion Recognition	Cross-Subject
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance	2022	-	DG	Ensemble Learning - Architecture Embedded	Others	CNN	SS	Situation Awareness Recognition	Cross-Subject
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition	2022	-	DA	Domain Alignment - Pseudo-label Training	SEED	CNN	SS	Emotion Recognition	Cross-Subject/Session
Mental Workload Classification Method Based on EEG Cross-Session Subspace Alignment	2022	-	DA	Domain Alignment	Others	Non-Deep	MS	Mental Workload Classification	Cross-Session
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning	2022	-	DG	Meta-Learning - Self-supervised Learning	Others	CNN	SS	Sleep Scoring	Cross-Subject/Dataset
From unsupervised to semi-supervised adversarial domain adaptation in EEG-based sleep staging	2022	-	DA	Adversarial Training - Pseudo-label Training	Others	RNN	SS	Sleep Stage Classification	Cross-Dataset
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces	2022	-	DG	Multi Source Domain Alignment	Others	CNN	SS	Motor Imagery Classification	Cross-Subject
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation	2022	link	DA	Adversarial Training	DEAP	RNN	SS	Emotion Recognition	Cross-Subject
Cross-Task Cognitive Workload Recognition Based on EEG and Domain Adaptation.	2022	-	DA	Domain Alignment - Pseudo-label Training	Others	Non-Deep	SS	Mental Workload Classification	Cross-Task/Subject
Cross-Session EEG-Based Emotion Recognition Via Maximizing Domain Discrepancy	2022	-	DA	Adversarial Feature Alignment	SEED	CNN	SS	Emotion Recognition	Cross-Session
Cross-Day EEG-Based Emotion Recognition Using Transfer Component Analysis	2022	-	DA	Domain Alignment	SEED - DEAP - Others	Non-Deep	SS	Emotion Recognition	Cross-Day
Multi-view cross-subject seizure detection with information bottleneck attribution	2022	-	DG	Adversarial Training	Others	ANN - GAN	SS	Seizure Detection	Cross-Subject
Cross-subject EEG-based emotion recognition through neural networks with stratified normalization	2021	-	DG	Data Manipulation	SEED	ANN	MS	Emotion Recognition	Cross-Subject
Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification.	2021	link	DG	Adversarial Training	Others	Attention - Graph	SS	Sleep Stage Classification	Cross-Subject
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition	2021	-	DA	Adversarial Feature Alignment	DEAP - DREAMER	CNN - GAN	MS	Emotion Recognition	Cross-Subject
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals	2021	-	DG	Architecture Embedded	Others	CNN	SS	Epileptic Seizure Prediction	Cross-Subject
Plug-and-play domain adaptation for cross-subject eeg-based emotion recognition	2021	-	DA-DG	Instance Alignment - Feature Disentanglement - Ensemble Learning	SEED	RNN - Attention	MS	Emotion Recognition	Cross-Subject
Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition	2021	-	DA	Adversarial Feature Alignment - Domain Alignment	SEED	CNN	MS	Emotion Recognition	Cross-Day/Subject
Cross-subject EEG emotion recognition with self-organized graph neural network	2021	link	DG	Architecture Embedded	SEED - SEED-IV	Graph	SS	Emotion Recognition	Cross-Subject
Standardization-refinement domain adaptation method for cross-subject EEG-based classification in imagined speech recognition.	2021	-	DA - DG	Domain Alignment - Pseudo-label Training - Architecture embedded	Others	RNN	SS	Imagined Speech Recognition	Cross-Subject
An EEG-based transfer learning method for cross-subject fatigue mental state prediction	2021	-	DA	Adversarial Feature Alignment	Others	ANN	SS	Fatigue Mental State Prediction	Cross-Subject
EEGNet with ensemble learning to improve the cross-session classification of SSVEP based BCI from Ear-EEG	2021	-	DG	Ensemble Learning	Others	CNN	SS	SSVEP-based BCI Classification	Cross-Session
Dynamic Joint Domain Adaptation Network for Motor Imagery Classification	2021	-	DA	Adversarial Feature Alignment - Pseudo-label Training	BCI Competition	CNN	SS	Motor Imagery Classification	Cross-Session
Subject-Invariant EEG Representation Learning For Emotion Recognition	2021	link	DA	Adversarial Feature Alignment	Others	CNN	SS	Emotion Recognition	Cross-Subject/Dataset
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition	2021	link	DA	Domain Alignment - Classifier Alignment	SEED - SEED-IV	ANN	MS	Emotion Recognition	Cross-Subject/Session
Subject matching for cross-subject eeg-based recognition of driver states related to situation awareness	2021	-	DA	Instance Alignment	Others	CNN	SS	Situation Awareness Recognition	Cross-Subject
A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition	2021	-	DA	Adversarial Feature Alignment - Instance Alignment	SEED	CNN	SS	Emotion Recognition	Cross-Subject
Multi-Source Co-adaptation for EEG-based emotion recognition by mining correlation information	2021	-	DA	Instance Alignment - Pseudo-label Training	SEED - DEAP	ANN	MS	Emotion Recognition	Cross-Subject/Dataset
Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation	2021	-	DA	Domain Alignment - Classifier Alignment	Others	ANN - Non-Depp	MS	Mental State Prediction	Cross-Subject
Multi-source signal alignment and efficient multi-dimensional feature classification in the application of EEG-based subject-independent drowsiness detection	2021	link	DA	Instance Alignment	Others	Non-Deep	MS	Drowsiness Recognition	Cross-Subject
An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition.	2021	-	DA	Adversarial Feature Alignment	DEAP - DREAMER	CNN	SS	Emotion Recognition	Cross-Subject/Dataset
Domain Adaptation for Cross-Subject Emotion Recognition by Subject Clustering	2021	-	DA	Preprocessing	DEAP	ANN	MS	Emotion Recognition	Cross-Subject
Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification	2021	-	DA - DG	Pseudo-label Training - Adversarial Training - Data Augmentation - Self-supervised Learning	BCI Competition	CNN	SS	Motor Imagery Classification	Cross-Subject/Session
Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization	2021	-	DG	Adversarial Training	SEED - DEAP	Autoencoder	SS	Emotion Recognition	Cross-Subject
Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition.	2021	-	DG	Self-supervised Learning	SEED - Others	CNN	MS	Emotion Recognition	Cross-Subject
EEG-Based Emotion Recognition via Joint Domain Adaptation and Semi-supervised RVFL Network	2021	-	DA	Domain Alignment - Pseudo-label Training - Data Augmentation	SEED-IV	-	SS	Emotion Recognition	Cross-Session
Subject Adaptive EEG-Based Visual Recognition	2021	link	DA	Domain Alignment	Others	RNN	MS	Visual Recognition	Cross-Subject
Cross-subject And Cross-device Wearable EEG Emotion Recognition Using Frontal EEG Under Virtual Reality Scenes	2021	-	DA	Domain Alignment	Others	Graph	SS	Emotion Recognition	Cross-Subject/Device
Seizure prediction in EEG signals using STFT and domain adaptation.	2021	-	DA	Adversarial Feature Alignment - Domain Alignment	Others	Non-Deep	SS	Seizure Prediction	Cross-Subject
Cross-Subject EEG Emotion Recognition Using Domain Adaptive Few-Shot Learning Networks	2021	-	DA	Domain Alignment	SEED - DEAP	CNN - Attention-based	SS	Emotion Recognition	Cross-Subject
Cross-subject EEG-based Emotion Recognition Using Adversarial Domain Adaptation with Attention Mechanism	2021	-	DA	Adversarial Feature Alignment	SEED	Attention-based - Graph	MS	Emotion Recognition	Cross-Subject
Cross-subject electroencephalogram emotion recognition based on maximum classifier discrepancy	2021	-	DA	Adversarial Feature Alignment	SEED	GAN	SS	Emotion Recognition	Cross-Subject/Session
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks.	2021	-	DG	Architecture Embedded	Others	CNN	SS	Decoding Visual Imagery	Cross-Subject
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability	2021	-	DG	Self-supervised Learning	Others	CNN	SS	Behavioral State Estimation	Cross-Subject/Session/Dataset
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface	2021	-	DG	Data Augmentation	BCI Competition	GAN	MS	Motor Imagery Classification	Cross-Subject
EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network	2021	-	DA	Adversarial Feature Alignment	SEED	ANN	SS	Emotion Recognition	Cross-Subject/Phase
Single-channel EEG based insomnia detection with domain adaptation.	2021	-	DA	Adversarial Feature Alignment	Others	RNN	MS	Sleep Stage Classification	Cross-Dataset
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training	2021	link	DA	Adversarial Feature Alignment - Pseudo-label Training	Others	CNN - Attention-based	SS	Sleep Stage Classification	Cross-Dataset
Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition	2021	-	DA	Instance Alignment	SEED	CNN	SS	Emotion Recognition	Cross-Subject
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG	2021	-	DA	Domain Alignment - Pseudo-label Training	SEED-IV	Non-Deep	SS	Emotion Recognition	Cross-Session/Trial
A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition	2021	-	DG	Meta Learning	SEED	RNN	SS	Emotion Recognition	Cross-Subject
Wasserstein-Distance-Based Multi-Source Adversarial Domain Adaptation for Emotion Recognition and Vigilance Estimation	2021	-	DA	Adversarial Feature Alignment	SEED - SEED-VIG	-	SS	Vigilance Estimation	Cross-Subject
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images	2021	-	DA - DG	Domain Alignment - Data Manipulation	Others	CNN - Attention-based	SS	Workload Classification	Cross-Subject
Learning invariant representations from EEG via adversarial inference	2020	-	DG	Adversarial Training	Others	CNN	SS	Motor Imagery Classification	Cross-Subject
Subject-Aware Contrastive Learning for Biosignals	2020	-	DG	Data Augmentation - Self-supervised Learning	Others	Autoencoder - Non-deep	SS	EEG Decoding	Cross-Subject
Fusion convolutional neural network for cross-subject EEG motor imagery classification	2020	-	DG	Ensemble Learning	Others	CNN	SS	Motor Imagery Classification	Cross-Subject
Deep representation-based domain adaptation for nonstationary EEG classification.	2020	-	DA	Adversarial Feature Alignment - Pseudo-label Training	BCI Competition - Others	CNN	SS	Motor Imagery Classification	Cross-Subject
Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding	2020	-	DA	Adversarial Feature Alignment	Others	CNN	SS	Motor Imagery Classification	Cross-Subject
Meta learn on constrained transfer learning for low resource cross subject EEG classification	2020	-	DG	Meta Learning	SEED - DEAP - BCI Competition	-	MS	Motor Imagery Classification	Cross-Subject
Supervised domain generalization for integration of disparate scalp EEG datasets for automatic epileptic seizure detection	2020	-	DG	Multi Source Domain Alignment	Others	CNN - RNN	MS	Epileptic Seizure Prediction	Cross-Dataset
Tensor-based EEG network formation and feature extraction for cross-session driving drowsiness detection	2020	-	DA	Domain Alignment	Others	Non-Deep	SS	Driving Drowsiness Detection	Cross-Session
Data Augmentation for Domain-Adversarial Training in EEG-based Emotion Recognition	2020	-	DA	Adversarial Feature Alignment	DEAP	Non-Deep	SS	Emotion Recognition	Cross-Subject/Session/Dataset
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity	2019	-	DA	Adversarial Feature Alignment	SEED - DEAP	ANN	SS	Emotion Recognition	Cross-Subject/Session
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis	2019	link	DG	Multi Source Domain Alignment	BCI Competition	CNN - Attention-based	SS	Motor Imagery Classification	Cross-Subject
Generalizing to unseen domains via distribution matching	2019	link	DG	Adversarial Training	SEED	-	MS	Emotion Recognition	Cross-Subject
A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition	2019	-	DA	Adversarial Feature Alignment	SEED - SEED-IV - Others	RNN	SS	Emotion Recognition	Cross-Subject
Multi-method fusion of cross-subject emotion recognition based on high-dimensional EEG features	2019	-	DG	Feature selection	SEED - DEAP	Non-Deep	SS	Emotion Recognition	Cross-Subject
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces	2019	link	DA	Domain Alignment - Pseudo-label Training	Others	-	SS	Motor Imagery Classification	Cross-Subject
EEG-based driver drowsiness estimation using feature weighted episodic training	2019	-	DG	Feature Weighting	Others	ANN	MS	Drowsiness Recognition	Cross-Subject
Cross-subject EEG signal recognition using deep domain adaptation network	2019	-	DA	Domain Alignment	BCI Competition	CNN	SS	Motor Imagery Classification	Cross-Subject
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization	2019	-	DG	Adversarial Training	SEED - SEED-VIG	ANN	MS	Emotion Recognition	Cross-Subject
EEG-based cross-subject mental fatigue recognition	2019	-	DA	Domain Alignment	Others	CNN	SS	Mental Fatigue Recognition	Cross-Subject
Subject adaptation network for EEG data analysis	2019	-	DG	Adversarial Training	Others	GAN	SS	VIgilance Estimation	Cross-Subject/Session
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI	2019	link	DA	Feature Disentanglement	Others	ANN	SS	Motor Imagery Classification	Cross-Subject
Cross-subject statistical shift estimation for generalized electroencephalography-based mental workload assessment	2019	-	DA	Data Manipulation	Others	-	MS	Mental Workload Assessment	Cross-Subject
Domain adaptation with optimal transport improves EEG sleep stage classifiers.	2018	-	DA	Instance Alignment	Others	CNN	SS	Sleep Stage Classification	Cross-Dataset
Automatic epileptic seizure detection in EEG signals using multi-domain feature extraction and nonlinear analysis.	2017	-	DG	Multi Source Domain Alignment	Others	Non-Deep	SS	Epileptic Seizure Prediction	Cross-Subject
Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition.	2016	-	DA	Domain Alignment	SEED	Autoencoder	SS	Emotion Recognition	Cross-Subject/Session