mjmnzg / MFA-LR
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."
☆17Updated last year
Alternatives and similar repositories for MFA-LR:
Users that are interested in MFA-LR are comparing it to the libraries listed below
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆26Updated 4 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆50Updated 9 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆40Updated 7 months ago
- ☆30Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆97Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆38Updated 4 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆46Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆80Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆38Updated 9 months ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆37Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆25Updated 3 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆14Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆13Updated last year
- ☆18Updated 3 months ago
- ☆16Updated last year
- ☆30Updated 8 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆20Updated 5 months ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- ☆13Updated 2 years ago