SOTAVerified

EEG

Electroencephalography epilepsy

Papers

Showing 201250 of 2431 papers

TitleStatusHype
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
Disguising Personal Identity Information in EEG SignalsCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based ModelCode1
EEG2Mel: Reconstructing Sound from Brain Responses to MusicCode1
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge DistillationCode1
PiEEG kit -- bioscience Lab in home for your Brain and BodyCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
EEG-Based Emotion Recognition Using Regularized Graph Neural NetworksCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
A novel Fourier Adjacency Transformer for advanced EEG emotion recognitionCode1
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
eegFloss: A Python package for refining sleep EEG recordings using machine learning modelsCode1
Real-time noise cancellation with Deep LearningCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge DevicesCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
EEG-to-Text Translation: A Model for Deciphering Human Brain ActivityCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Self-supervised EEG Representation Learning for Automatic Sleep StagingCode1
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified FrameworkCode1
SGDR: Stochastic Gradient Descent with Warm RestartsCode1
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive LearningCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
A Saliency based Feature Fusion Model for EEG Emotion EstimationCode1
Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM ModelCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
A Lie Group Approach to Riemannian Batch NormalizationCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Foundational GPT Model for MEGCode1
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