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EEG Signal Classification

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Showing 1–25 of 27 papers

TitleStatusHype
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked InputsCode2
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial NetworksCode1
An Olfactory EEG Signal Classification Network Based on Frequency Band Feature Extraction—0
Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization—0
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification—0
EAD: An EEG Adapter for Automated Classification—0
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory—0
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters—0
EEG Signal Classification using Variational Mode Decomposition—0
Electrophysiological Investigation of Insect Pain Threshold—0
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy—0
Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm—0
SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification—0
A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
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