heibaipei / FLADA
Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption
☆24Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for FLADA
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆48Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆38Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆67Updated last year
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆83Updated 7 months ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- ☆29Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆24Updated last month
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆60Updated 3 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆18Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆36Updated 4 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 3 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
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆57Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆25Updated last year
- ☆13Updated 4 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆89Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆61Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆43Updated 6 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆33Updated 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 last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆36Updated 4 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆14Updated last year
- ☆14Updated last year
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]☆19Updated last month
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆13Updated 11 months ago