On the public citation graph

From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

https://doi.org/10.1109/taffc.2019.2922912

0 signed · 353 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470013192.bsa068openalex-snapshot

Canonical Correlation Analysis

inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot

Domain-Adversarial Training of Neural Networks

inferredcites →https://doi.org/10.1007/978-3-7908-2604-3_16openalex-snapshot

Large-Scale Machine Learning with Stochastic Gradient Descent

inferredcites →https://doi.org/10.1007/978-981-10-7641-1_10openalex-snapshot

Emotional State Recognition with EEG Signals Using Subject Independent Approach

inferredcites →https://doi.org/10.1007/s11063-018-9829-1openalex-snapshot

EEG Emotion Recognition Based on Graph Regularized Sparse Linear Regression

inferredcites →https://doi.org/10.1007/s12559-017-9517-xopenalex-snapshot

Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data

inferredcites →https://doi.org/10.1016/j.biopsycho.2004.03.002openalex-snapshot

Frontal EEG asymmetry as a moderator and mediator of emotion

inferredcites →https://doi.org/10.1016/j.neunet.2014.06.012openalex-snapshot

Practical emotional neural networks

inferredcites →https://doi.org/10.1016/j.neuroimage.2005.11.027openalex-snapshot

Neural correlates of social and nonsocial emotions: An fMRI study

inferredcites →https://doi.org/10.1016/j.tics.2010.11.004openalex-snapshot

Emotional processing in anterior cingulate and medial prefrontal cortex

inferredcites →https://doi.org/10.1016/j.tics.2012.09.005openalex-snapshot

A functional architecture of the human brain: emerging insights from the science of emotion

inferredcites →https://doi.org/10.1016/s1388-2457(00)00527-7openalex-snapshot

The five percent electrode system for high-resolution EEG and ERP measurements

inferredcites →https://doi.org/10.1017/s0140525x11000446openalex-snapshot

The brain basis of emotion: A meta-analytic review

inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot

Least Squares Support Vector Machine Classifiers

inferredcites →https://doi.org/10.1037//0003-066x.55.11.1196openalex-snapshot

Affective style, psychopathology, and resilience: Brain mechanisms and plasticity.

inferredcites →https://doi.org/10.1037/e526112012-054openalex-snapshot

Affective Computing

inferredcites →https://doi.org/10.1080/02699930802204677openalex-snapshot

Measures of emotion: A review

inferredcites →https://doi.org/10.1080/026999397379845aopenalex-snapshot

regional Brain Activity in Emotion: A Framework for Understanding Cognition in Depresion

inferredcites →https://doi.org/10.1109/asru.2015.7404814openalex-snapshot

Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech

inferredcites →https://doi.org/10.1109/cvpr.2012.6247911openalex-snapshot

Geodesic flow kernel for unsupervised domain adaptation

inferredcites →https://doi.org/10.1109/iccv.2013.368openalex-snapshot

Unsupervised Visual Domain Adaptation Using Subspace Alignment

inferredcites →https://doi.org/10.1109/icra.2016.7487478openalex-snapshot

Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture

inferredcites →https://doi.org/10.1109/taffc.2014.2339834openalex-snapshot

Feature Extraction and Selection for Emotion Recognition from EEG

inferredcites →https://doi.org/10.1109/taffc.2018.2801289openalex-snapshot

A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

inferredcites →https://doi.org/10.1109/taffc.2018.2817622openalex-snapshot

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/taffc.2018.2890636openalex-snapshot

A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition

inferredcites →https://doi.org/10.1109/tamd.2015.2431497openalex-snapshot

Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

inferredcites →https://doi.org/10.1109/tbme.2010.2048568openalex-snapshot

EEG-Based Emotion Recognition in Music Listening

inferredcites →https://doi.org/10.1109/tcds.2016.2587290openalex-snapshot

Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis

inferredcites →https://doi.org/10.1109/tkde.2014.2373376openalex-snapshot

Domain Invariant Transfer Kernel Learning

inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot

Domain Adaptation via Transfer Component Analysis

inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot

LSTM: A Search Space Odyssey

inferredcites →https://doi.org/10.1109/tpami.2016.2547397openalex-snapshot

Selective Transfer Machine for Personalized Facial Expression Analysis

inferredcites →https://doi.org/10.1126/science.1076358openalex-snapshot

Emotion, Cognition, and Behavior

inferredcites →https://doi.org/10.1145/2647868.2654916openalex-snapshot

We are not All Equal

inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.24963/ijcai.2018/216openalex-snapshot

A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition

inferredcites →https://doi.org/10.3389/fnins.2018.00162openalex-snapshot

Exploring EEG Features in Cross-Subject Emotion Recognition

inferredcites →https://doi.org/10.3390/a10020063openalex-snapshot

Development of Filtered Bispectrum for EEG Signal Feature Extraction in Automatic Emotion Recognition Using Artificial Neural Networks

inferredcites →https://doi.org/10.5555/1577069.1755831openalex-snapshot

A Least-squares Approach to Direct Importance Estimation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4768672openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-030-98355-0_29openalex-snapshot

EEG Emotion Recognition Based on Dynamically Organized Graph Neural Network

inferred← citeshttps://doi.org/10.1007/978-981-19-6901-0_72openalex-snapshot

Emotion Recognition of Autistic Children Based on EEG Signals

inferred← citeshttps://doi.org/10.1007/978-981-95-4378-6_1openalex-snapshot

MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-95-5693-9_13openalex-snapshot

TRHCN: A Topology-Based Region Hierarchical Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-96-7033-8_3openalex-snapshot

THGCN: Temporal Hypergraph Convolutional Network for Subject-Independent EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-97-5495-3_2openalex-snapshot

A New Emotion Classification Method Based on JAN-VMD

inferred← citeshttps://doi.org/10.1007/978-981-97-7007-6_13openalex-snapshot

Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-99-1642-9_21openalex-snapshot

Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/s00521-020-05670-4openalex-snapshot

A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition

inferred← citeshttps://doi.org/10.1007/s00521-023-09344-9openalex-snapshot

Attention with kernels for EEG-based emotion classification

inferred← citeshttps://doi.org/10.1007/s00521-024-10821-yopenalex-snapshot

Deep learning-based EEG emotion recognition: a comprehensive review

inferred← citeshttps://doi.org/10.1007/s10462-024-10831-1openalex-snapshot

A review on emotion detection by using deep learning techniques

inferred← citeshttps://doi.org/10.1007/s10586-024-04994-3openalex-snapshot

EEG-based emotion recognition model using fuzzy adjacency matrix combined with convolutional multi-head graph attention mechanism

inferred← citeshttps://doi.org/10.1007/s11571-025-10372-5openalex-snapshot

Cross-modal alignment and fusion of EEG-visual based on mixed attention mechanism for emotion recognition

inferred← citeshttps://doi.org/10.1007/s11571-026-10456-wopenalex-snapshot

Acas-eer: attention-based CNN architecture search with spatial-spectral feature for emotional EEG recognition

inferred← citeshttps://doi.org/10.1007/s11571-026-10531-2openalex-snapshot

High-accuracy EEG-based driver fatigue detection using feature-coupled tensor decomposition for multimodal brain connectivity analysis

inferred← citeshttps://doi.org/10.1007/s11760-024-03550-1openalex-snapshot

EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition

inferred← citeshttps://doi.org/10.1007/s12652-023-04609-6openalex-snapshot

A channel-wise attention-based representation learning method for epileptic seizure detection and type classification

inferred← citeshttps://doi.org/10.1007/s13755-023-00226-xopenalex-snapshot

STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1007/s44196-025-00964-8openalex-snapshot

Enhancing Emotion Detection from EEG Signals by Extracting Spatiotemporal Features Using ConvLSTM Networks

inferred← citeshttps://doi.org/10.1016/j.artmed.2024.102984openalex-snapshot

Dynamic functional connections analysis with spectral learning for brain disorder detection

inferred← citeshttps://doi.org/10.1016/j.asej.2026.104421openalex-snapshot

Subject-conditioned generative manifold alignment for cross-subject EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108889openalex-snapshot

Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113659openalex-snapshot

Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102743openalex-snapshot

Leveraging spatial-temporal convolutional features for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102755openalex-snapshot

EEG based emotion detection using fourth order spectral moment and deep learning

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103660openalex-snapshot

DRS-Net: A spatial–temporal affective computing model based on multichannel EEG data

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103877openalex-snapshot

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104141openalex-snapshot

A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104620openalex-snapshot

SEER-net: Simple EEG-based Recognition network

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104885openalex-snapshot

Swin-TCNet: Swin-based temporal-channel cascade network for motor imagery iEEG signal recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104999openalex-snapshot

STILN: A novel spatial-temporal information learning network for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105138openalex-snapshot

Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105863openalex-snapshot

Spectrum-based channel attention cooperating with time continuity encoding in transformer for EEG emotion analysis

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106092openalex-snapshot

IFBCLNet: Spatio-temporal frequency feature extraction-based MI-EEG classification convolutional network

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106206openalex-snapshot

A time-frequency map generation network embedded with spectral self-attention for motor imagery classification

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106986openalex-snapshot

Fusing temporal-frequency information with Contrast Learning on Graph Convolution Network to decoding EEG

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107054openalex-snapshot

Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108800openalex-snapshot

Self-supervised learning-based EEG emotion recognition using spatial–temporal attention networks and contrastive learning

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109068openalex-snapshot

From local to global: A hierarchical spatial-frequency Bi-patch Mamba network for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109188openalex-snapshot

Research progress on emotion recognition based on electroencephalogram signals

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109515openalex-snapshot

Multi-scale graph convolutional EEG emotion recognition method driven by dynamic channel state labels

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109976openalex-snapshot

Learning unified brain region representation for cross-dataset EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110077openalex-snapshot

Selective channel bypassing meets capsules: Efficient and robust EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110528openalex-snapshot

Cross-subject EEG emotion recognition based on dynamic spatiotemporal feature fusion with the DANN

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.111472openalex-snapshot

Classification-aware conditional diffusion-augmented criss-cross graph transformer for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.105080openalex-snapshot

A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106002openalex-snapshot

Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106344openalex-snapshot

Emotion recognition with residual network driven by spatial-frequency characteristics of EEG recorded from hearing-impaired adults in response to video clips

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106537openalex-snapshot

Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107450openalex-snapshot

Emotion recognition in EEG signals using deep learning methods: A review

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104229openalex-snapshot

Multi-Scale Adaptive Skeleton Transformer for action recognition

inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105251openalex-snapshot

Brain topographic map: A visual feature for multi-view fusion design in EEG-based biometrics

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106205openalex-snapshot

On the effects of data normalization for domain adaptation on EEG data

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110654openalex-snapshot

Integration of neural networks in brain–computer interface applications: Research frontiers and trend analysis based on Python

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111969openalex-snapshot

Semi-supervised graph contrastive learning for emotion recognition based on electroencephalogram signals

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112144openalex-snapshot

Electroencephalography-based emotion recognition using a dual-stream multi-scale spatiotemporal convolutional capsule network

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115581openalex-snapshot

Cross-subject EEG emotion classification based on few-label adversarial domain adaption

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126028openalex-snapshot

Domain adversarial learning with multiple adversarial tasks for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127762openalex-snapshot

Paradox learning: Contradictory labels to disentangle symmetric and asymmetric EEG spatial patterns

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127859openalex-snapshot

Region-Focused CNN with Dynamic Adaptive Graph Attention Network for stereogram evoked EEG recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133164openalex-snapshot

A neuroscience-based EEG emotion recognition framework with local brain region-guided global learning

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134060openalex-snapshot

HAHDF-Net: A heterogeneous dual-stream convolutional fusion network with hemispheric asymmetry for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.ijcce.2026.04.005openalex-snapshot

A Hierarchical Meta-Learning Driven Adaptive Brain Region Flow Fusion Method for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102129openalex-snapshot

Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104224openalex-snapshot

Emotion recognition using multimodal physiological signals through regional to global fusion with a spatial-temporal semantic alignment mechanism

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104329openalex-snapshot

ASAC-Net: A novel multimodal alignment-complementary fusion framework for EEG-fNIRS emotion recognition

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104790openalex-snapshot

BCF-CDAN: bidirectional cross-modal fusion and conditional domain adversarial network for multimodal cross-subject emotion recognition with EEG-fNIRS

inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.10.007openalex-snapshot

IDEA: Intellect database for emotion analysis using EEG signal

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.101648openalex-snapshot

Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2023.109909openalex-snapshot

SIFIAE: An adaptive emotion recognition model with EEG feature-label inconsistency consideration

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2024.110223openalex-snapshot

RETRACTED: Lightweight attention mechanisms for EEG emotion recognition for brain computer interface

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2024.110317openalex-snapshot

ST-SHAP: A hierarchical and explainable attention network for emotional EEG representation learning and decoding

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106243openalex-snapshot

EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110756openalex-snapshot

MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113096openalex-snapshot

ALGGNet: An adaptive local-global-graph representation network for brain-computer interfaces

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113613openalex-snapshot

LGDAAN-Nets: A local and global domain adversarial attention neural networks for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113752openalex-snapshot

EEG emotion recognition based on dynamic temporal causal graph convolutional network

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113762openalex-snapshot

Temporal-spectral-spatial synchronization attention-based network for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113938openalex-snapshot

UMDA-DDSTGN: An unsupervised meta-domain adaptation method using dynamic directed spatial-temporal graph network for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114115openalex-snapshot

Spatiotemporal isomorphic cross-brain region interaction network for cross-subject EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114318openalex-snapshot

ProDG: A proxy-domain-guiding strategy for multi-source-free domain adaptation in EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115551openalex-snapshot

Estimating dynamical affective state via domain-to-modality level feature integration from eye movement and EEG signals

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115638openalex-snapshot

Adaptive semi-supervised graph contrastive representation learning for robust emotion recognition using electroencephalogram

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.105openalex-snapshot

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128354openalex-snapshot

Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128445openalex-snapshot

GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130951openalex-snapshot

Emotion agent: Unsupervised deep reinforcement learning with distribution-prototype reward for continuous emotional EEG analysis

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131767openalex-snapshot

A multi-branch electroencephalogram emotion recognition framework based on cross-subject or cross-session multi-perspective representation fusion

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132881openalex-snapshot

PL-DCP: A pairwise learning framework with domain and class prototypes for EEG emotion recognition under unseen target conditions

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.12.034openalex-snapshot

Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106624openalex-snapshot

Emotion recognition using hierarchical spatial–temporal learning transformer from regional to global brain

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106742openalex-snapshot

Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108562openalex-snapshot

NeuroAdaptive multi-resolution integration network for decoding cognitive complexity levels in EEG-based pronoun resolution tasks

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109444openalex-snapshot

Global-regional anti-noise network for cross-subject EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neuri.2025.100201openalex-snapshot

AI-driven EEG neuroscientific analysis for evaluating the influence of emotions on false memory

inferred← citeshttps://doi.org/10.1016/j.neuroscience.2020.01.045openalex-snapshot

Emotion Recognition Positively Correlates with Steady-state Visual Evoked Potential Amplitude and Alpha Entrainment

inferred← citeshttps://doi.org/10.1016/j.neuroscience.2025.01.049openalex-snapshot

A temporal-spatial feature fusion network for emotion recognition with individual differences reduction

inferred← citeshttps://doi.org/10.1016/j.patrec.2023.05.011openalex-snapshot

Distilling EEG representations via capsules for affective computing

inferred← citeshttps://doi.org/10.1016/j.rineng.2023.101027openalex-snapshot

A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence

inferred← citeshttps://doi.org/10.1049/cit2.12174openalex-snapshot

Self‐training maximum classifier discrepancy for EEG emotion recognition

inferred← citeshttps://doi.org/10.1049/sfw2.12080openalex-snapshot

Retracted: Self‐attention Bi‐RNN for developer emotion recognition based on EEG

inferred← citeshttps://doi.org/10.1080/09540091.2023.2289833openalex-snapshot

Emotion recognition based on convolutional gated recurrent units with attention

inferred← citeshttps://doi.org/10.1080/10255842.2025.2484557openalex-snapshot

An adaptive graph convolutional network with residual attention for emotion recognition

inferred← citeshttps://doi.org/10.1080/21681163.2023.2299096openalex-snapshot

EEG data based human attention recognition using various machine learning techniques: a review

inferred← citeshttps://doi.org/10.1088/1741-2552/ac9c94openalex-snapshot

Subject adaptation convolutional neural network for EEG-based motor imagery classification

inferred← citeshttps://doi.org/10.1088/1741-2552/ad3c28openalex-snapshot

MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition

inferred← citeshttps://doi.org/10.1088/1741-2552/ad9956openalex-snapshot

Model-agnostic meta-learning for EEG-based inter-subject emotion recognition

inferred← citeshttps://doi.org/10.1088/1741-2552/ae70a9openalex-snapshot

HRGNN: hierarchical region-aware graph neural network for interpretable EEG-Based emotion recognition

inferred← citeshttps://doi.org/10.1088/1742-6596/2258/1/012034openalex-snapshot

Physiological Signal Emotion Recognition Based on Temporal Convolutional Networks

inferred← citeshttps://doi.org/10.1088/1742-6596/3147/1/012014openalex-snapshot

Correlation-guided Graph Convolutional Information Aggregation Network For EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1088/2057-1976/ad43f1openalex-snapshot

Multi-scale 3D-CRU for EEG emotion recognition*

inferred← citeshttps://doi.org/10.1088/2057-1976/ae462dopenalex-snapshot

A hybrid graph attention network with multi-dimensional features for enhanced EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1088/2057-1976/ae55aaopenalex-snapshot

EEG-CMT: spatial-temporal representation of EEG for emotion recognition using convolutional neural networks and vision transformers

inferred← citeshttps://doi.org/10.1088/2631-8695/aea5ecopenalex-snapshot

MS-SSCTGN: a multi-scale self-supervised contrastive spatiotemporal network for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1093/cercor/bhae477openalex-snapshot

Crucial rhythms and subnetworks for emotion processing extracted by an interpretable deep learning framework from EEG networks

inferred← citeshttps://doi.org/10.1098/rsos.201976openalex-snapshot

Personality first in emotion: a deep neural network based on electroencephalogram channel attention for cross-subject emotion recognition

inferred← citeshttps://doi.org/10.1109/access.2021.3054670openalex-snapshot

EEG Classification by Factoring in Sensor Spatial Configuration

inferred← citeshttps://doi.org/10.1109/access.2021.3055933openalex-snapshot

Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2022.3214544openalex-snapshot

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems

inferred← citeshttps://doi.org/10.1109/access.2023.3245830openalex-snapshot

Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models

inferred← citeshttps://doi.org/10.1109/access.2023.3266117openalex-snapshot

Bi-Branch Vision Transformer Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/access.2023.3266804openalex-snapshot

Emotion Recognition Using Temporally Localized Emotional Events in EEG With Naturalistic Context: DENS# Dataset

inferred← citeshttps://doi.org/10.1109/access.2023.3270977openalex-snapshot

Domain-Adaptive Emotion Recognition Based on Horizontal Vertical Flow Representation of EEG Signals

inferred← citeshttps://doi.org/10.1109/access.2024.3454082openalex-snapshot

Domain-Invariant Adaptive Graph Regularized Label Propagation for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/access.2025.3530567openalex-snapshot

A Pre-Activation Residual Convolutional Network With Attention Modules for High-Resolution Segmented EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/access.2025.3594671openalex-snapshot

EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669544openalex-snapshot

Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385505openalex-snapshot

A Multitask Framework for Emotion Recognition Using EEG and Eye Movement Signals with Adversarial Training and Attention Mechanism

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385526openalex-snapshot

Spatio-Temporal Swin Transformer-based 4-D EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10821740openalex-snapshot

LG-GAT: Local-Global Graph Attention Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356438openalex-snapshot

Discrimination-Enhanced Hierarchical Network with Structure Optimization for Cross-Subject EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cac67268.2025.11486839openalex-snapshot

A Mixture of Experts with Encoder-Decoder for Cross-Subject EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cbms55023.2022.00072openalex-snapshot

TcT: Temporal and channel Transformer for EEG-based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cme70365.2026.11723791openalex-snapshot

A Lightweight Hierarchical Temporal Attention Method for Trial-Level EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00475openalex-snapshot

TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals

inferred← citeshttps://doi.org/10.1109/eeit58928.2023.00017openalex-snapshot

Bimodal Physiological Emotion Recognition Using Information Contrastive Learning

inferred← citeshttps://doi.org/10.1109/eit68936.2026.11670361openalex-snapshot

LLM-Aided Lightweight EEG-HybridNet: A Hardware-Friendly Paradigm for Real-Time Emotion Recognition

inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630777openalex-snapshot

Cross-subject EEG-based Emotion Recognition Using Adversarial Domain Adaption with Attention Mechanism

inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871072openalex-snapshot

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/fie61694.2024.10893168openalex-snapshot

An RSB-GNN-Based EEG Approach for Exploring Students' Affective States in E-Learning

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00279openalex-snapshot

Notice of Removal: Multi-source privacy protection EEG emotion recognition based on self-supervised learning: Anonymous submission

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447925openalex-snapshot

EEG Emotion Recognition Based on Dynamical Graph Attention Network

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888584openalex-snapshot

Deeply Coupling EEG Signals and Eye Movements for Multi-Modal and Region-Aware Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890374openalex-snapshot

EEG Correlation Analysis-guided Graph Local Enhanced Feature Learning For Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icbbt65815.2025.11276443openalex-snapshot

Research on Mental Stress Recognition Based on EEG Signals

inferred← citeshttps://doi.org/10.1109/iccect60629.2024.10545975openalex-snapshot

Emotion Recognition Method Based on EEG Signals: 4D-CapsBLnet Model Integrating Spatio-Temporal Features

inferred← citeshttps://doi.org/10.1109/icdsca63855.2024.10859935openalex-snapshot

Temporal Neural Network Intervention Detection and Response Strategies in Anti-Interference Satellite Communication Systems

inferred← citeshttps://doi.org/10.1109/icmew68306.2025.11152146openalex-snapshot

RPGCN-GDA: Regionally Progressive Graph Convolutional Network with Gender-Sensitive Domain Adaptation for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485022openalex-snapshot

Real-Time EEG-based Emotion Recognition using CNN-Transformer Hybrid Framework

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191587openalex-snapshot

Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892411openalex-snapshot

Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/iscas58744.2024.10558424openalex-snapshot

EEG Emotion Recognition Based on Dynamic Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3083525openalex-snapshot

3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3198688openalex-snapshot

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3265805openalex-snapshot

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3392564openalex-snapshot

MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3395622openalex-snapshot

Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3416944openalex-snapshot

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3449083openalex-snapshot

DC-ASTGCN: EEG Emotion Recognition Based on Fusion Deep Convolutional and Adaptive Spatio-Temporal Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3558170openalex-snapshot

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3572886openalex-snapshot

SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model With Improved N1 Sleep Detection

inferred← citeshttps://doi.org/10.1109/jiot.2025.3650676openalex-snapshot

Subdomain Adaption Method for Cross-Domain Emotion Recognition and Clinical Consciousness Detection

inferred← citeshttps://doi.org/10.1109/jsac.2020.3020677openalex-snapshot

Exploiting Transfer Learning for Emotion Recognition Under Cloud-Edge-Client Collaborations

inferred← citeshttps://doi.org/10.1109/jsen.2022.3168572openalex-snapshot

An EEG Data Processing Approach for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jsen.2024.3358400openalex-snapshot

Emotion Recognition Based on Selected EEG Signals by Common Spatial Pattern

inferred← citeshttps://doi.org/10.1109/jsen.2024.3484413openalex-snapshot

A Super-Resolution Framework for Emotion Recognition Based on EEG Signals

inferred← citeshttps://doi.org/10.1109/jsen.2025.3544242openalex-snapshot

Multivariate Multiscale Variations Dispersion Entropy and Multivariate Multiscale Variations Fuzzy Dispersion Entropy for Time-Series Analysis

inferred← citeshttps://doi.org/10.1109/jsen.2025.3618297openalex-snapshot

HST-SN: A Hierarchical Framework Learning Spatiotemporal Semantic Features From EEG Signals

inferred← citeshttps://doi.org/10.1109/lsp.2022.3179946openalex-snapshot

EEG-GCN: Spatio-Temporal and Self-Adaptive Graph Convolutional Networks for Single and Multi-View EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/mcte62870.2024.11118210openalex-snapshot

Enhancing Cross-Session EEG Emotion Recognition Through Multi-Source Domain Adaptation and Association Reinforcement

inferred← citeshttps://doi.org/10.1109/seai62072.2024.10674039openalex-snapshot

Swin-CANet: A Novel Integration of Swin Transformer with Channel Attention for Enhanced Motor Imagery Classification

inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945517openalex-snapshot

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders

inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343636openalex-snapshot

MoRa: Multi-Graph Orthogonal Representation Adaptation Network for Cross-Subject EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/spin60856.2024.10512315openalex-snapshot

NeuroSyght: An AI-Powered Approach on Emotion Classification from EEG Data

inferred← citeshttps://doi.org/10.1109/taffc.2020.2982143openalex-snapshot

Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2021.3053275openalex-snapshot

A Survey of Textual Emotion Recognition and Its Challenges

inferred← citeshttps://doi.org/10.1109/taffc.2021.3064940openalex-snapshot

Variational Instance-Adaptive Graph for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2021.3126263openalex-snapshot

EEG-Based Emotional Video Classification via Learning Connectivity Structure

inferred← citeshttps://doi.org/10.1109/taffc.2022.3145623openalex-snapshot

EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention

inferred← citeshttps://doi.org/10.1109/taffc.2022.3169001openalex-snapshot

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2022.3170428openalex-snapshot

GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2022.3179717openalex-snapshot

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion

inferred← citeshttps://doi.org/10.1109/taffc.2023.3282704openalex-snapshot

Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2023.3288118openalex-snapshot

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals

inferred← citeshttps://doi.org/10.1109/taffc.2023.3288885openalex-snapshot

Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network

inferred← citeshttps://doi.org/10.1109/taffc.2023.3305982openalex-snapshot

An Affective Brain-Computer Interface Based on a Transfer Learning Method

inferred← citeshttps://doi.org/10.1109/taffc.2023.3319397openalex-snapshot

Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3385651openalex-snapshot

FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power and Connectivity Features for EEG-Based Emotion Decoding

inferred← citeshttps://doi.org/10.1109/taffc.2024.3394873openalex-snapshot

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3395359openalex-snapshot

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer

inferred← citeshttps://doi.org/10.1109/taffc.2024.3433613openalex-snapshot

Grop: Graph Orthogonal Purification Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3463469openalex-snapshot

Improving the Interpretability Through Maximizing Mutual Information for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3477302openalex-snapshot

The fNIRS-Based Emotion Recognition by Spatial Transformer and WGAN Data Augmentation Toward Developing a Novel Affective BCI

inferred← citeshttps://doi.org/10.1109/taffc.2025.3564272openalex-snapshot

Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3574868openalex-snapshot

Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3588873openalex-snapshot

A Novel Conditional Adversarial Domain Adaptation Network for EEG Cross-Subject Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3593630openalex-snapshot

Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3605833openalex-snapshot

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition

showing the first 200 of 312 · page through all 312

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.