arXiv AI
ADSEL: Adaptive Dual Self-Expression Learning for EEG Feature Selection via Incomplete Multi-Dimensional Emotion Labels
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Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
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Jul 7
Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition
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One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
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Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition
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arXiv Machine Learning
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SingLEM: Single-Channel Large EEG Model
arXiv:2509. 17920v2 Announce Type: replace Abstract: Current deep learning models for electroencephalography (EEG) are often task-specific and depend on large labeled datasets, limiting their adaptability.