mjmnzg / MFA-LRLinks
This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has been published in the paper "Learning a Robust Unified Domain Adaptation Framework for Cross-subject EEG-based Emotion Recognition."
☆22Updated 2 years ago
Alternatives and similar repositories for MFA-LR
Users that are interested in MFA-LR are comparing it to the libraries listed below
Sorting:
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 9 months ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆107Updated 2 months ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Updated 3 years ago
- ☆23Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 5 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated last week
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Updated 3 years ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆14Updated 8 months ago
- code for LMDA☆87Updated 2 years ago
- ☆92Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆74Updated last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆51Updated last year
- ☆19Updated 2 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 4 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Updated 5 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- ☆21Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆37Updated 10 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆117Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- ☆13Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆125Updated 2 years ago