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EEG Emotion Recognition

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework

FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition

EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition

Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

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

EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition

M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition

Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition

Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities

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

EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition

Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition

CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition

Improving EEG-based Emotion Recognition by Fusing Time-frequency And Spatial Representations

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

Progressive Graph Convolution Network for EEG Emotion Recognition

Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism

EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer Perceptron

Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition

4D Attention-based Neural Network for EEG Emotion Recognition

Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features

A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition

EEG emotion recognition using dynamical graph convolutional neural networks

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