ZihanLiu95 / UAP_EEGLinks
This project is the codes to generate universal adversarial perturbations for EEG-based BCIs.
☆11Updated 5 years ago
Alternatives and similar repositories for UAP_EEG
Users that are interested in UAP_EEG are comparing it to the libraries listed below
Sorting:
- A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381☆17Updated 2 years ago
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Updated 4 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆107Updated 3 months ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Updated 4 years ago
- A collection of trends about transfer learning☆17Updated 5 years ago
- ☆10Updated 4 years ago
- Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.☆14Updated 5 years ago
- ☆11Updated 6 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆108Updated 2 years ago
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆14Updated 5 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆24Updated 4 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆22Updated 4 years ago
- Differential entropy features of EEG dataset☆13Updated 2 years ago
- A time series signal analysis and classification framework☆86Updated 2 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 3 years ago
- Emotion analysis on DREAMER dataset using various Deep Learning Techniques☆13Updated 5 years ago
- ☆15Updated 6 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Updated 5 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- ☆52Updated 3 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76Updated 3 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆245Updated 3 years ago
- ☆27Updated 8 years ago
- ☆56Updated 4 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆58Updated 4 years ago
- ☆23Updated 3 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆84Updated 9 months ago