heibaipei / V-3DCNN
for the paper "V-3DCNN, emotion recognition based on EEG"
☆12Updated 2 years ago
Alternatives and similar repositories for V-3DCNN:
Users that are interested in V-3DCNN are comparing it to the libraries listed below
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- 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
- EEG emotion recognition based on Temporal convolutional network☆24Updated 5 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆19Updated 4 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆56Updated last year
- ☆18Updated 4 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆45Updated 5 years ago
- The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"☆11Updated 4 years ago
- ☆27Updated 6 years ago
- EEG Emotion Classification algorithm - copy from private☆15Updated 8 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆31Updated 3 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☆38Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆41Updated last year
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆22Updated 2 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
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- Semi-supervised Multi-view Variational Autoencoder (semiMVAE)☆9Updated 4 years ago
- ☆24Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago
- Feature extraction for EEG signals☆28Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆37Updated 4 years ago
- This is a final project for my 2019 Winter course "Pattern Recognition".☆25Updated 4 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- 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
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 8 months ago