oozdenizci / AdversarialEEGDecodingLinks
Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.
☆14Updated 5 years ago
Alternatives and similar repositories for AdversarialEEGDecoding
Users that are interested in AdversarialEEGDecoding are comparing it to the libraries listed below
Sorting:
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 3 years ago
- ☆32Updated 6 months ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆100Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 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
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆88Updated 3 months ago
- ☆37Updated 10 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- ☆37Updated last year
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆43Updated 2 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆74Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- ☆66Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆15Updated last year
- ☆38Updated 4 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 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 4 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 3 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆25Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆52Updated last week
- 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 3 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆206Updated 4 years ago