Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Hanqi, Chen, Tao, Song, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MMOC: Self-Supervised EEG Emotion Recognition Framework with Multi-Model Online Collaboration
by: Wang, Hanqi, et al.
Published: (2025)
by: Wang, Hanqi, et al.
Published: (2025)
Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain
by: Wang, Hanqi, et al.
Published: (2024)
by: Wang, Hanqi, et al.
Published: (2024)
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
by: Ye, Weishan, et al.
Published: (2023)
by: Ye, Weishan, et al.
Published: (2023)
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
by: Zhou, Rushuang, et al.
Published: (2023)
by: Zhou, Rushuang, et al.
Published: (2023)
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition
by: Liao, Yuan, et al.
Published: (2024)
by: Liao, Yuan, et al.
Published: (2024)
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
by: Sartipi, Shadi, et al.
Published: (2024)
by: Sartipi, Shadi, et al.
Published: (2024)
EEG Emotion Recognition Through Deep Learning
by: Dolgopolyi, Roman, et al.
Published: (2025)
by: Dolgopolyi, Roman, et al.
Published: (2025)
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
by: Jain, Anant, et al.
Published: (2022)
by: Jain, Anant, et al.
Published: (2022)
Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition
by: Shen, Xinke, et al.
Published: (2024)
by: Shen, Xinke, et al.
Published: (2024)
Subject-independent Classification of Meditative State from the Resting State using EEG
by: Panachakel, Jerrin Thomas, et al.
Published: (2025)
by: Panachakel, Jerrin Thomas, et al.
Published: (2025)
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
by: Dong, Yihang, et al.
Published: (2024)
by: Dong, Yihang, et al.
Published: (2024)
Unsupervised Pairwise Learning Optimization Framework for Cross-Corpus EEG-Based Emotion Recognition Based on Prototype Representation
by: Li, Guangli, et al.
Published: (2025)
by: Li, Guangli, et al.
Published: (2025)
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
by: Ding, Yi, et al.
Published: (2024)
by: Ding, Yi, et al.
Published: (2024)
Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2026)
by: Li, Guangli, et al.
Published: (2026)
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
by: Feng, Tianzhi, et al.
Published: (2025)
by: Feng, Tianzhi, et al.
Published: (2025)
Self-supervised speech representation and contextual text embedding for match-mismatch classification with EEG recording
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
by: Foumani, Navid Mohammadi, et al.
Published: (2024)
by: Foumani, Navid Mohammadi, et al.
Published: (2024)
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025)
by: Lin, Xuetao, et al.
Published: (2025)
Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
by: Li, Taida, et al.
Published: (2026)
by: Li, Taida, et al.
Published: (2026)
miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition
by: Liu, Hanwen, et al.
Published: (2025)
by: Liu, Hanwen, et al.
Published: (2025)
Three-Way Emotion Classification of EEG-based Signals using Machine Learning
by: Purwar, Ashna, et al.
Published: (2026)
by: Purwar, Ashna, et al.
Published: (2026)
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
by: Sartipi, Shadi, et al.
Published: (2024)
by: Sartipi, Shadi, et al.
Published: (2024)
Score-based Diffusion Models With Self-supervised Learning For Accelerated 3D Multi-contrast Cardiac Magnetic Resonance Imaging
by: Liu, Yuanyuan, et al.
Published: (2023)
by: Liu, Yuanyuan, et al.
Published: (2023)
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
by: Imtiaz, Md Niaz, et al.
Published: (2025)
by: Imtiaz, Md Niaz, et al.
Published: (2025)
Emotion Detection from EEG using Transfer Learning
by: Sidharth, Sidharth, et al.
Published: (2023)
by: Sidharth, Sidharth, et al.
Published: (2023)
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
by: Sartipi, Shadi, et al.
Published: (2024)
by: Sartipi, Shadi, et al.
Published: (2024)
SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy
by: Liu, Yici, et al.
Published: (2025)
by: Liu, Yici, et al.
Published: (2025)
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
by: Cui, Yanjie, et al.
Published: (2024)
by: Cui, Yanjie, et al.
Published: (2024)
HFMCA: Orthonormal Feature Learning for EEG-based Brain Decoding
by: Wang, Yinghao, et al.
Published: (2026)
by: Wang, Yinghao, et al.
Published: (2026)
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
by: Aristimunha, Bruno, et al.
Published: (2025)
by: Aristimunha, Bruno, et al.
Published: (2025)
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
by: An, Sion, et al.
Published: (2024)
by: An, Sion, et al.
Published: (2024)
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation
by: Xiao, Yun, et al.
Published: (2024)
by: Xiao, Yun, et al.
Published: (2024)
Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG
by: Han, Siqi, et al.
Published: (2024)
by: Han, Siqi, et al.
Published: (2024)
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
by: Mishra, Aditya, et al.
Published: (2025)
by: Mishra, Aditya, et al.
Published: (2025)
Self-supervised Radio Representation Learning: Can we Learn Multiple Tasks?
by: Kanu, Ogechukwu, et al.
Published: (2025)
by: Kanu, Ogechukwu, et al.
Published: (2025)
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)
by: Liu, Xuan-Hao, et al.
Published: (2025)
Similar Items
-
MMOC: Self-Supervised EEG Emotion Recognition Framework with Multi-Model Online Collaboration
by: Wang, Hanqi, et al.
Published: (2025) -
Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain
by: Wang, Hanqi, et al.
Published: (2024) -
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
by: Ye, Weishan, et al.
Published: (2023) -
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
by: Zhou, Rushuang, et al.
Published: (2023) -
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition
by: Liao, Yuan, et al.
Published: (2024)