shyammarjit / HSFCSLinks
Hybrid Sequential Forward Channel Selection (HSFCS)
☆10Updated 2 years ago
Alternatives and similar repositories for HSFCS
Users that are interested in HSFCS are comparing it to the libraries listed below
Sorting:
- code for LMDA☆87Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Updated 3 years ago
- ☆48Updated 4 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆72Updated 9 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Updated 6 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆50Updated 2 years ago
- ☆41Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆91Updated 3 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆29Updated 9 months ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆15Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 3 weeks ago
- Deep Learning pipeline for motor-imagery classification.☆64Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18Updated 3 years ago
- ☆34Updated 10 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆104Updated 7 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 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☆37Updated 4 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆32Updated 6 months ago
- ☆32Updated 2 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103Updated 8 months ago
- ☆71Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Updated 3 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆66Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 6 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆51Updated last year