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References from EEG emotion recognition based on SA-cWGAN and graph contrast learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep Learning in EEG: advance of the last ten-year critical period
10.1109/tcds.2021.3079712 · 2022 · External reference
Generative adversarial networks in EEG analysis: an overview
10.1186/s12984-023-01169-w · 2023 · External reference
Review on psychological stress detection using biosignals
10.1109/taffc.2019.2927337 · 2022 · External reference
Automatic emotion recognition for groups: a review
10.1109/taffc.2021.3065726 · 2023 · External reference
Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks
10.1109/access.2019.2908285 · 2019 · External reference
Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks
10.1109/tamd.2015.2431497 · 2015 · External reference
Emotion recognition based on EEG using LSTM recurrent neural network
2017 · External reference
Deep learning for electroencephalogram (EEG) classification tasks: a review
10.1088/1741-2552/ab0ab5 · 2019 · External reference
GLFANet: a global to local feature aggregation network for EEG emotion recognition
10.1016/j.bspc.2023.104799 · 2023 · External reference
Spatiotemporal isomorphic cross-brain region interaction network for cross-subject EEG emotion recognition
10.1016/j.knosys.2025.114115 · 2025 · External reference
Dynamic collaborative evolutionary network: a novel spatio-temporal feature extraction framework for EEG emotion recognition
10.1016/j.eswa.2025.129654 · 2026 · External reference
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network
10.1016/j.knosys.2023.110372 · 2023 · External reference
LGDAAN-Nets: a local and global domain adversarial attention neural networks for EEG emotion recognition
10.1016/j.knosys.2025.113613 · 2025 · External reference
VG-DOCoT: a novel DO-Conv and transformer framework via VAE-GAN technique for EEG emotion recognition
10.1631/fitee.2300781 · 2024 · External reference
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Feature extraction and selection for emotion recognition from EEG
10.1109/taffc.2014.2339834 · 2014 · External reference
Generative adversarial nets
2014 · External reference
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EEG data augmentation for emotion recognition using a conditional wasserstein GAN
2018 · External reference
Cross-subject EEG-based emotion recognition using deep metric learning and adversarial training
10.1109/access.2024.3458833 · 2024 · External reference
GLWGAN: dual-discriminator GAN for EEG emotion recognition using spatiotemporal patterns
2025 · External reference
Cluster-level contrastive learning for emotion recognition in conversations
10.1109/taffc.2023.3243463 · 2023 · External reference
Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition
10.1109/taffc.2022.3164516 · 2023 · External reference
An efficient graph learning system for emotion recognition inspired by the cognitive prior graph of EEG brain network
10.1109/tnnls.2024.3405663 · 2025 · External reference
Brain network manifold learned by cognition-inspired graph embedding model for emotion recognition
10.1109/tsmc.2024.3458949 · 2024 · External reference
EEG-based emotion recognition using 4D convolutional recurrent neural network
10.1007/s11571-020-09634-1 · 2020 · External reference
Graph contrastive learning with augmentations
2020 · External reference
SimGRACE: a simple framework for graph contrastive learning without data augmentation
2022 · External reference
STILN: A novel spatial-temporal information learning network for EEG-based emotion recognition
10.1016/j.bspc.2023.104999 · 2023 · External reference
A graph neural network for EEG-based emotion recognition with contrastive learning and generative adversarial neural network data augmentation
10.1109/access.2023.3344476 · 2024 · External reference
Semi-supervised dual-stream self-attentive adversarial graph contrastive learning for cross-subject EEG-based emotion recognition
10.1109/taffc.2024.3433470 · 2025 · External reference
Emotion distribution learning based on peripheral physiological signals
10.1109/taffc.2022.3163609 · 2023 · External reference
Utilizing deep learning towards multi-modal bio-sensing and vision-based affective computing
10.1109/taffc.2019.2916015 · 2022 · External reference
Constructing a personalized cross-day EEG-based emotion-classification model using transfer learning
10.1109/jbhi.2019.2934172 · 2020 · External reference
Emotion recognition in EEG signals using deep learning methods: a review
10.1016/j.compbiomed.2023.107450 · 2023 · External reference
Deep feature pyramid network for EEG emotion recognition
10.1016/j.measurement.2022.111724 · 2022 · External reference
CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings
10.1007/s11042-022-12310-7 · 2023 · External reference
4D attention-based neural network for EEG emotion recognition
10.1007/s11571-021-09751-5 · 2022 · External reference
Cross-subject emotion recognition by EEG driven spatio-temporal hybrid network based on domain adaptation and dynamic graph attention
10.1016/j.bspc.2025.108231 · 2025 · External reference
MAS-DGAT-Net: a dynamic graph attention network with multibranch feature extraction and staged fusion for EEG emotion recognition
10.1016/j.knosys.2024.112599 · 2024 · External reference
EEG-based emotion recognition via channel-wise attention and self attention
10.1109/taffc.2020.3025777 · 2023 · External reference
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
10.1016/j.asoc.2020.106954 · 2021 · External reference
An efficient LSTM network for emotion recognition from multichannel EEG signals
10.1109/taffc.2020.3013711 · 2022 · External reference
Transformers for EEG-based emotion recognition: a hierarchical spatial information learning model
10.1109/jsen.2022.3144317 · 2022 · External reference
A three-branch 3D convolutional neural network for EEG-based different hand movement stages classification
2021 · External reference
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Subject independent emotion recognition using EEG signals employing attention driven neural networks
10.1016/j.bspc.2022.103547 · 2022 · External reference
A state-of-the-art survey on deep learning theory and architectures
10.3390/electronics8030292 · 2019 · External reference
Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier
10.11591/ijece.v9i2.pp1012-1020 · 2019 · External reference
HBUED: An EEG dataset for emotion recognition
10.1016/j.jad.2025.119397 · 2025 · External reference
