junmoan / eeg-confused-RF-SVM-DT-XGBoost-CatBoostLinks
Confused EEG Classification using Random Forest, Support Vector Machine, Decision Tree, XGBoost, and CatBoost
☆11Updated 4 years ago
Alternatives and similar repositories for eeg-confused-RF-SVM-DT-XGBoost-CatBoost
Users that are interested in eeg-confused-RF-SVM-DT-XGBoost-CatBoost are comparing it to the libraries listed below
Sorting:
- A CNN + LSTM architecture to predict seizure from EEG data☆47Updated 2 years ago
- EEG Feeling Emotions Classification using LSTM☆13Updated 4 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- ☆36Updated 6 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆108Updated 5 years ago
- A general matlab framework for EEG data classification☆49Updated 7 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- EEG Emotion classification using the DEAP pre-processed data☆149Updated 6 years ago
- EEG Emotion Classification algorithm - copy from private☆15Updated 9 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆24Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Feature Extraction of Mental Load EEG signals☆60Updated 8 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆48Updated 4 years ago
- Electroencephalogram(EEG) benchmark dataset Chb-mit is used for seizure detection. The CHB-MIT dataset is a publicly available database …☆14Updated 3 years ago
- Feature selection for DEAP data☆8Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Implementation of EEG signal classification.☆50Updated 9 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆225Updated last year
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆54Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆174Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆40Updated 5 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- LSTM-based neural network system to predict EEG signals☆29Updated 6 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago