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Mr-Gcn:A Graph Convolutional Neural Network Approach for Decoding Eeg Motor Imagery Signals

https://doi.org/10.2139/ssrn.4873350
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Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches
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Recognition of human emotions using EEG signals: A review
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A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data
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Electroencephalography
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An end-to-end deep learning approach to MI-EEG signal classification for BCIs
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Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition
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Insights into human cognition from intracranial EEG: A review of audition, memory, internal cognition, and causality
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EEG dataset classification using CNN method
inferredcites →https://doi.org/10.1109/access.2023.3294410openalex-extracted
4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification
inferredcites →https://doi.org/10.1109/bci48061.2020.9061622openalex-extracted
Multi-Class Classification of Motor Imagery EEG Signals Using Image-Based Deep Recurrent Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/embc.2018.8512590openalex-extracted
Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/embc46164.2021.9630194openalex-extracted
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
inferredcites →https://doi.org/10.1109/memea49120.2020.9137134openalex-extracted
An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
inferredcites →https://doi.org/10.1109/rbme.2020.3008792openalex-extracted
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
inferredcites →https://doi.org/10.1109/tbme.2004.827072openalex-extracted
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
inferredcites →https://doi.org/10.1109/tii.2022.3194659openalex-extracted
Separated Graph Neural Networks for Recommendation Systems
inferredcites →https://doi.org/10.1109/tnnls.2022.3202569openalex-extracted
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals
inferredcites →https://doi.org/10.1109/tnsre.2022.3204913openalex-extracted
EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods
inferredcites →https://doi.org/10.1109/tsp.2018.2879624openalex-extracted
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters
inferredcites →https://doi.org/10.1111/psyp.13643openalex-extracted
High working memory load impairs selective attention: EEG signatures
inferredcites →https://doi.org/10.1145/3394486.3403049openalex-extracted
Graph Structure Learning for Robust Graph Neural Networks
inferredcites →https://doi.org/10.1145/3447548.3467323openalex-extracted
Geometric Graph Representation Learning on Protein Structure Prediction
inferredcites →https://doi.org/10.1145/3580516openalex-extracted
Opinion Leaders for Information Diffusion Using Graph Neural Network in Online Social Networks
inferredcites →https://doi.org/10.1155/2021/1116126openalex-extracted
Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
inferredcites →https://doi.org/10.1177/15500594221120734openalex-extracted
Information Contained in EEG Allows Characterization of Cognitive Decline in Neurodegenerative Disorders
inferredcites →https://doi.org/10.23919/eusipco.2017.8081266openalex-extracted
Residual neural networks for speech recognition
inferredcites →https://doi.org/10.3389/fnhum.2020.00321openalex-extracted
Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling
inferredcites →https://doi.org/10.3389/fnhum.2023.1223307openalex-extracted
Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
inferredcites →https://doi.org/10.3390/app10051797openalex-extracted
Classification of Brainwaves for Sleep Stages by High-Dimensional FFT Features from EEG Signals
inferredcites →https://doi.org/10.3390/s22041477openalex-extracted
Complex Pearson Correlation Coefficient for EEG Connectivity Analysis
inferredcites →https://doi.org/10.48550/arxiv.1606.09375openalex-extracted
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
inferredcites →https://doi.org/10.48550/arxiv.1808.10650openalex-extracted
Graph reduction with spectral and cut guarantees
inferredcites →https://doi.org/10.48550/arxiv.2008.07092openalex-extracted
Understanding Brain Dynamics for Color Perception using Wearable EEG headband
inferredcites →https://doi.org/10.48550/arxiv.2106.11170openalex-extracted
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
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