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Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
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inferredcites →https://doi.org/10.1006/nimg.2001.0825openalex-snapshot
Topographic Time-Frequency Decomposition of the EEG
inferredcites →https://doi.org/10.1007/11866763_8openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-981-13-0908-3_10openalex-snapshot
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inferredcites →https://doi.org/10.1007/s11432-021-3439-2openalex-snapshot
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inferredcites →https://doi.org/10.1007/s11517-016-1479-8openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.cobeha.2017.12.012openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.compbiomed.2016.10.019openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.conb.2004.03.010openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.knosys.2017.05.010openalex-snapshot
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inferredcites →https://doi.org/10.1038/ncomms5567openalex-snapshot
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inferredcites →https://doi.org/10.1063/1.2915137openalex-snapshot
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inferredcites →https://doi.org/10.1080/02699930126048openalex-snapshot
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inferredcites →https://doi.org/10.1080/02699930802204677openalex-snapshot
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inferredcites →https://doi.org/10.1080/02699930903274322openalex-snapshot
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inferredcites →https://doi.org/10.1080/02699931.2016.1140020openalex-snapshot
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inferredcites →https://doi.org/10.1080/2326263x.2014.912881openalex-snapshot
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inferredcites →https://doi.org/10.1088/1741-2552/aace8copenalex-snapshot
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inferredcites →https://doi.org/10.1088/1741-2552/abca18openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
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inferredcites →https://doi.org/10.1109/embc.2013.6611075openalex-snapshot
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inferredcites →https://doi.org/10.1109/embc44109.2020.9175482openalex-snapshot
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inferredcites →https://doi.org/10.1109/ijcnn.2010.5596746openalex-snapshot
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inferredcites →https://doi.org/10.1109/jbhi.2020.2995767openalex-snapshot
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inferredcites →https://doi.org/10.1109/mci.2015.2501545openalex-snapshot
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inferredcites →https://doi.org/10.1109/ner.2013.6695876openalex-snapshot
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inferredcites →https://doi.org/10.1109/ner49283.2021.9441368openalex-snapshot
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inferredcites →https://doi.org/10.1109/t-affc.2011.15openalex-snapshot
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inferredcites →https://doi.org/10.1109/taffc.2014.2339834openalex-snapshot
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inferredcites →https://doi.org/10.1109/tcyb.2019.2904052openalex-snapshot
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inferredcites →https://doi.org/10.1109/titb.2009.2034649openalex-snapshot
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inferredcites →https://doi.org/10.1145/3394171.3413724openalex-snapshot
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inferredcites →https://doi.org/10.1155/2011/156869openalex-snapshot
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
inferredcites →https://doi.org/10.1155/2011/879716openalex-snapshot
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
inferredcites →https://doi.org/10.1155/2013/573734openalex-snapshot
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inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.1162/neco.1995.7.6.1129openalex-snapshot
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inferredcites →https://doi.org/10.1177/2096595819896200openalex-snapshot
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inferredcites →https://doi.org/10.1186/1475-925x-9-45openalex-snapshot
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inferredcites →https://doi.org/10.1371/journal.pone.0095415openalex-snapshot
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inferredcites →https://doi.org/10.14569/ijacsa.2017.081046openalex-snapshot
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inferredcites →https://doi.org/10.3389/fnhum.2012.00112openalex-snapshot
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inferredcites →https://doi.org/10.3389/fnhum.2017.00026openalex-snapshot
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inferredcites →https://doi.org/10.4230/lipics.itcs.2018.22openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-44213-1_29openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-8978-4_32openalex-snapshot
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A dual-branch multiscale model based on Bi-Mamba for EEG emotion recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110302openalex-snapshot
AST-CLNet: EEG emotion recognition based on dual-branch adaptive graph convolution and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110365openalex-snapshot
STF-CGT with multi-level anchored distillation for emotion-induced EEG-based class-incremental person identification
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110843openalex-snapshot
CA-DASCLNet: A deep learning framework for cross-subject EEG emotion recognition via joint domain-adversarial and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.111023openalex-snapshot
Cross subject cognitive workload recognition using class aware contrastive alignment of EEG spectrum
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108973openalex-snapshot
Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109394openalex-snapshot
Enhanced cross-dataset electroencephalogram-based emotion recognition using unsupervised domain adaptation
inferred← citeshttps://doi.org/10.1016/j.cor.2024.106738openalex-snapshot
LG-GNN: Local and Global Information-aware Graph Neural Network for default detection
inferred← citeshttps://doi.org/10.1016/j.egyr.2023.12.030openalex-snapshot
Powerformer: A temporal-based transformer model for wind power forecasting
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109502openalex-snapshot
Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109825openalex-snapshot
Multi-level domain adaptation for improved generalization in electroencephalogram-based driver fatigue detection
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.2025.112422openalex-snapshot
Resource-efficient cross-subject emotion recognition from electroencephalogram via spiking domain discriminators
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125420openalex-snapshot
Interactive multi-agent convolutional broad learning system for EEG emotion recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125452openalex-snapshot
Unsupervised multi-source domain adaptation via contrastive learning for EEG classification
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.2024.126081openalex-snapshot
A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126282openalex-snapshot
Multi-task transformer network for subject-independent iEEG seizure detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127323openalex-snapshot
Adaptive soft contrastive with mutual information for biological time series representation learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127348openalex-snapshot
Cross-dataset EEG emotion recognition based on pre-trained Vision Transformer considering emotional sensitivity diversity
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127456openalex-snapshot
ChannelMix-based transformer and convolutional multi-view feature fusion network for unsupervised domain adaptation in EEG emotion recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130300openalex-snapshot
Guiding LLMs to decode text via aligning semantics in EEG signals and language
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131395openalex-snapshot
DDformer: A spatio-temporal-frequency transformer with contrastive learning and data augmentation for robust EEG signals analysis in dementia diagnosis
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e31485openalex-snapshot
EEG-based emotion recognition systems; comprehensive study
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.2025.103571openalex-snapshot
TCTR: Text-Guided Contrastive Learning with Token-Level Reconstruction Network for missing modalities in multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122835openalex-snapshot
ADSO-TCNet: A three-dimensional convolutional network with adaptive data structure optimization for EEG emotion recognition
inferred← citeshttps://doi.org/10.1016/j.ish.2026.03.002openalex-snapshot
Domain-guided mixture of experts for EEG-based emotion recognition
inferred← citeshttps://doi.org/10.1016/j.jairtraman.2026.103097openalex-snapshot
Continuous monitoring of air traffic controllers’ cognitive load based on electroencephalogram: Towards brain–computer interface-driven automation
inferred← citeshttps://doi.org/10.1016/j.jelechem.2026.120221openalex-snapshot
Temperature-invariant contrastive learning of relaxation-time-based impedance features for reliable Lithium-ion battery capacity prediction
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2023.109919openalex-snapshot
Decoding emotion from high-frequency steady state visual evoked potential (SSVEP)
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2023.109959openalex-snapshot
Music-emotion EEG coupling effects based on representational similarity
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.2024.110276openalex-snapshot
Cross-subject emotion recognition in brain-computer interface based on frequency band attention graph convolutional adversarial neural networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111137openalex-snapshot
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition
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.2025.114115openalex-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.2026.116035openalex-snapshot
PSGCL: Pseudo-siamese supervised graph contrastive learning for enhancing prior knowledge guidance in EEG classification
inferred← citeshttps://doi.org/10.1016/j.meadig.2026.100022openalex-snapshot
EEG emotion recognition based on SA-cWGAN and graph contrast learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128624openalex-snapshot
A parallel neural networks for emotion recognition based on EEG signals
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132368openalex-snapshot
FDDGNet: An information bottleneck-inspired feature disentanglement network for cross-subject EEG-based emotion recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132633openalex-snapshot
DSTMNet: A dual spatiotemporal modeling network for EEG-based emotion recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134587openalex-snapshot
Learning from semantic ambiguity: A dual-noise robust framework for EEG partial label emotion recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135030openalex-snapshot
Masked generative-contrastive representation learning for cross-dataset EEG-based emotion recognition
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.2025.107337openalex-snapshot
Self-training EEG discrimination model with weakly supervised sample construction: An age-based perspective on ASD evaluation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107457openalex-snapshot
A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108228openalex-snapshot
An adaptive decoupling learning system informed by the brain functional structure for EEG decoding
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108324openalex-snapshot
Cross-subject emotion recognition with loop adaptive adversarial transfer network
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.2026.109072openalex-snapshot
Real-time emotion recognition based on EEG signals using a hybrid batch-stream architecture
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.neuroimage.2024.120890openalex-snapshot
Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.115049openalex-snapshot
Domain-adaptive probabilistic broad learning with evidence fusion for multimodal biomedical vigilance estimation
inferred← citeshttps://doi.org/10.1016/j.specom.2025.103198openalex-snapshot
Coordination Attention based Transformers with bidirectional contrastive loss for multimodal speech emotion recognition
inferred← citeshttps://doi.org/10.1038/s41597-023-02650-wopenalex-snapshot
A Large Finer-grained Affective Computing EEG Dataset
inferred← citeshttps://doi.org/10.1038/s41597-025-05349-2openalex-snapshot
A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
inferred← citeshttps://doi.org/10.1038/s41598-024-61832-7openalex-snapshot
Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting
inferred← citeshttps://doi.org/10.1038/s41598-025-13289-5openalex-snapshot
Cross-subject EEG signals-based emotion recognition using contrastive learning
inferred← citeshttps://doi.org/10.1039/d4ay01970aopenalex-snapshot
A CNN-based self-supervised learning framework for small-sample near-infrared spectroscopy classification
inferred← citeshttps://doi.org/10.1049/cit2.12174openalex-snapshot
Self‐training maximum classifier discrepancy for EEG emotion recognition
inferred← citeshttps://doi.org/10.1080/09540091.2024.2426812openalex-snapshot
Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data
inferred← citeshttps://doi.org/10.1080/14786451.2026.2651009openalex-snapshot
Short and medium-term wind power forecasting using a novel time series dynamic context-aware GRU model
inferred← citeshttps://doi.org/10.1088/1741-2552/ad3986openalex-snapshot
Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
inferred← citeshttps://doi.org/10.1088/1741-2552/ad5048openalex-snapshot
GCTNet: a graph convolutional transformer network for major depressive disorder detection based on EEG signals
inferred← citeshttps://doi.org/10.1088/1741-2552/add466openalex-snapshot
Commonality and individuality based graph learning network for EEG emotion recognition
inferred← citeshttps://doi.org/10.1088/1741-2552/ade28aopenalex-snapshot
Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learning
inferred← citeshttps://doi.org/10.1088/1741-2552/ade290openalex-snapshot
EEG-based affective brain–computer interfaces: recent advancements and future challenges
inferred← citeshttps://doi.org/10.1088/1741-2552/ae4924openalex-snapshot
EEGEpochNet: self-supervised contrastive learning for automated EEG epoch rejection with multi-level feature construction
inferred← citeshttps://doi.org/10.1088/2057-1976/ae395eopenalex-snapshot
Dual pseudo-labeling based adversarial domain adaptation for EEG-based emotion recognition
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/10.1109/access.2023.3344476openalex-snapshot
A Graph Neural Network for EEG-Based Emotion Recognition With Contrastive Learning and Generative Adversarial Neural Network Data Augmentation
inferred← citeshttps://doi.org/10.1109/access.2023.3344531openalex-snapshot
Applications of Self-Supervised Learning to Biomedical Signals: A Survey
inferred← citeshttps://doi.org/10.1109/access.2024.3375393openalex-snapshot
A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/access.2025.3536549openalex-snapshot
Integrating Deep Metric Learning, Semi Supervised Learning, and Domain Adaptation for Cross-Dataset EEG-Based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/aciiw71585.2026.11712108openalex-snapshot
Subject Aware Feature Modeling for Pain Localization: Normalization as the Dominant Inductive Bias
inferred← citeshttps://doi.org/10.1109/bci60775.2024.10480490openalex-snapshot
Enhancing EEG Domain Generalization via Weighted Contrastive Learning
inferred← citeshttps://doi.org/10.1109/bci69045.2026.11435051openalex-snapshot
Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment
inferred← citeshttps://doi.org/10.1109/bddm68348.2025.11442246openalex-snapshot
A Cross-Subject EEG-Based Emotion Recognition Model of Contrastive Learning and GCN-Transformer
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/bibm58861.2023.10385841openalex-snapshot
EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning
inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10822780openalex-snapshot
Cross-Subject Emotion Classification with Residual Pseudo-Label Distance-aware Dual-Classifier
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/bibm66473.2025.11357038openalex-snapshot
EEG Emotion Recognition via Prototype Adaptive Fine-Grained Contrastive Progressive Alignment
inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487820openalex-snapshot
Semantic-guided Contrastive Learning for EEG Decoding of Video Semantics
inferred← citeshttps://doi.org/10.1109/ccssta62096.2024.10691736openalex-snapshot
Visualization Method of Emotional EEG Features Based on Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/dsp65409.2025.11074850openalex-snapshot
DuMoNet: Enhancing Emotion Recognition with a Dual-Modality Structure from EEG and ECG
inferred← citeshttps://doi.org/10.1109/embc53108.2024.10782484openalex-snapshot
Improving EEG-Based Cross-Subject Mental Workload Classification Performance with Euclidean-Aligned Periodic and Aperiodic Features
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11252717openalex-snapshot
Enhancing Emotion-Brain Representations With Orthogonal Fuzzy Power-Coherence Alignment
inferred← citeshttps://doi.org/10.1109/ic3et64989.2026.11467182openalex-snapshot
Bidirectional LSTM Model for Continuous Emotion Detection in AI-Powered Mental Health Monitoring
inferred← citeshttps://doi.org/10.1109/icaace61206.2024.10548104openalex-snapshot
A Transformer Framework Based on Self-Supervised Contrastive Learning for EEG-based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887579openalex-snapshot
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890073openalex-snapshot
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890602openalex-snapshot
Global Context MambaVision for EEG-based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460512openalex-snapshot
CLG-MSTS: Contrastive Learning-Guided Multi-Scale Temporal-Spatial Network for Cross-Subject Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460520openalex-snapshot
Cross-Domain EEG-Based Emotion Recognition with Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464404openalex-snapshot
Multimodal Contrastive Learning and Dynamic Temporal Reconstruction for EEG-Based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464747openalex-snapshot
HFMCA: Orthonormal Feature Learning for EEG-Based Brain Decoding
inferred← citeshttps://doi.org/10.1109/icced60214.2023.10425227openalex-snapshot
Enhancing Emotion Recognition using Contrastive Learning Representation of Paired Peripheral Physiological and EEG Signal
inferred← citeshttps://doi.org/10.1109/iccwamtip68645.2025.11352633openalex-snapshot
Research on Cross-Situational Emotional Decoding Based on Multimodal Physiological Signals
inferred← citeshttps://doi.org/10.1109/icera72709.2026.11666616openalex-snapshot
EEG-Based Arousal Classification Using Gray-Level Co-occurrence Matrix (GLCM) Features with Machine Learning
inferred← citeshttps://doi.org/10.1109/icici68773.2026.11580995openalex-snapshot
Amplitude-Parameterized Quantum State Representations for Correlated Multi-Modal Emotion Classification
inferred← citeshttps://doi.org/10.1109/ictis62692.2024.10894645openalex-snapshot
EEG Classification Using Contrastive Learning and Riemannian Tangent Space Representations
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228357openalex-snapshot
A Bidirectional Selective State Space Model with Multi-scale Convolution and Additive Gated Attention for Cross-Subject Emotion Recognition
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228696openalex-snapshot
A Bidirectional Selective State Space Model with Multi-scale Convolution and Additive Gated Attention for Cross-Subject Emotion Recognition
inferred← citeshttps://doi.org/10.1109/insai60116.2023.00076openalex-snapshot
Supervised Contrastive Learning for EEG-Based Cross-Subject Emotion Recognition
inferred← citeshttps://doi.org/10.1109/iscipt61983.2024.10672656openalex-snapshot
Evaluating Children’s Engagement Through Wrist-worn Biosensors and LSTM Network
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3264521openalex-snapshot
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3357168openalex-snapshot
DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3418010openalex-snapshot
An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3452410openalex-snapshot
Using Semi-Supervised Domain Adaptation to Enhance EEG-Based Cross-Task Mental Workload Classification Performance
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3456441openalex-snapshot
Physiological Time-Series Fusion With Hybrid Attention for Adaptive Recognition of Pain
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3486251openalex-snapshot
Machine Learning Identification and Classification of Mitosis and Migration of Cancer Cells in a Lab-on-CMOS Capacitance Sensing Platform
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3613538openalex-snapshot
Dual-Cross Tri-Level Routing Transformer Based Metric Learning Network for Epileptic Seizure Prediction Using a Single-Channel iEEG
inferred← citeshttps://doi.org/10.1109/jiot.2025.3532725openalex-snapshot
MFDFormer: A Unified Multiscale Frequency Domain MetaFormer Framework for EEG-Based Chronic Pain Recognition
inferred← citeshttps://doi.org/10.1109/jproc.2023.3309299openalex-snapshot
Toward Label-Efficient Emotion and Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/jproc.2023.3315689openalex-snapshot
Affective Game Computing: A Survey
inferred← citeshttps://doi.org/10.1109/jsen.2025.3625281openalex-snapshot
Portable EEG-Based Emotion Recognition Utilizing Flexible Brain Electrodes for Hairless Regions
inferred← citeshttps://doi.org/10.1109/jtehm.2024.3506556openalex-snapshot
Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA
inferred← citeshttps://doi.org/10.1109/lsp.2025.3597875openalex-snapshot
A Technical Odyssey of Self-Supervised Representation Learning for Devanagari-Script-Based P300 Speller
inferred← citeshttps://doi.org/10.1109/mind67540.2025.11351599openalex-snapshot
FreqDGT: Frequency-Adaptive Dynamic Graph Networks with Transformer for Cross-Subject EEG Emotion Recognition
inferred← citeshttps://doi.org/10.1109/msp.2025.3595320openalex-snapshot
Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions
inferred← citeshttps://doi.org/10.1109/percom56429.2023.10099301openalex-snapshot
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image
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.2023.3315973openalex-snapshot
Bodily Electrodermal Representations for Affective Computing
inferred← citeshttps://doi.org/10.1109/taffc.2023.3336531openalex-snapshot
Emotion Recognition From Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning
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.2024.3433470openalex-snapshot
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-Based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2024.3462603openalex-snapshot
Decoding Musical Neural Activity in Patients With Disorders of Consciousness Through Self-Supervised Contrastive Domain Generalization
inferred← citeshttps://doi.org/10.1109/taffc.2024.3480355openalex-snapshot
Adaptive Domain Alignment Neural Networks for Cross-Domain EEG Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2024.3485057openalex-snapshot
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2024.3497897openalex-snapshot
EEG-Based Cross-Subject Emotion Recognition Using Sparse Bayesian Learning With Enhanced Covariance Alignment
inferred← citeshttps://doi.org/10.1109/taffc.2025.3535542openalex-snapshot
Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2025.3551330openalex-snapshot
Identifying Stable EEG Patterns in Manipulation Task for Negative Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2025.3554399openalex-snapshot
Multi-Modal Cross-Subject Emotion Feature Alignment and Recognition With EEG and Eye Movements
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.2025.3580787openalex-snapshot
TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG 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.2025.3595137openalex-snapshot
MTADA: A Multi-Task Adversarial Domain Adaptation Network for EEG-Based Cross-Subject Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2025.3605833openalex-snapshot
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2026.3664306openalex-snapshot
NeuroPhysio: Explainable EEG-Based AI for Affective and Cognitive Load Recognition in Digital Health-Integrated Learning Systems
inferred← citeshttps://doi.org/10.1109/taffc.2026.3670015openalex-snapshot
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
inferred← citeshttps://doi.org/10.1109/taffc.2026.3691107openalex-snapshot
A Low-Rank Approximation Based Multi-Modal Multi-Level Disentangling Network for Efficient Emotion Recognition
inferred← citeshttps://doi.org/10.1109/tase.2026.3707530openalex-snapshot
A Dual-Branch Contrastive Learning Framework for Cross-Subject Thermal Sensation Prediction
inferred← citeshttps://doi.org/10.1109/tbme.2023.3328942openalex-snapshot
Multimodal Vigilance Estimation With Modality-Pairwise Contrastive Loss
inferred← citeshttps://doi.org/10.1109/tbme.2024.3432934openalex-snapshot
Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding
inferred← citeshttps://doi.org/10.1109/tbme.2025.3561228openalex-snapshot
Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals
inferred← citeshttps://doi.org/10.1109/tbme.2025.3613730openalex-snapshot
Self-Supervised Contrastive Pre-Training for EEG-Based Recognition via Cross Device Representation Consistency
inferred← citeshttps://doi.org/10.1109/tcds.2024.3417534openalex-snapshot
Cross-Subject Emotion Recognition From Multichannel EEG Signals Using Multivariate Decomposition and Ensemble Learning
inferred← citeshttps://doi.org/10.1109/tcds.2025.3545666openalex-snapshot
Cross-Subject and Cross-Session EEG Emotion Recognition Based on Multisource Structural Deep Clustering
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