aiInBCI / MSDDAEFLinks
Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning
☆25Updated last year
Alternatives and similar repositories for MSDDAEF
Users that are interested in MSDDAEF are comparing it to the libraries listed below
Sorting:
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆24Updated 3 years ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆344Updated 3 weeks ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Multi-Scale Convolutional Transformer Network for Motor Imagery Brain-Computer Interface☆120Updated 2 months ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- Residual and bidirectional LSTM for epileptic seizure detection☆97Updated 7 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- ☆17Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆316Updated 2 months ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆16Updated 9 months ago
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆13Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆15Updated 9 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆78Updated 2 years ago
- code for LMDA☆87Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆90Updated 3 weeks ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆51Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆22Updated last year
- ☆21Updated 2 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Updated 4 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆18Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆20Updated 2 years ago
- ☆23Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year