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EEG

Electroencephalography epilepsy

Papers

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Showing 226–250 of 2431 papers

TitleStatusHype
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
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
Real-time noise cancellation with Deep LearningCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
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
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG RecordingsCode1
SelfEEG: A Python library for Self-Supervised Learning in ElectroencephalographyCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Self-supervised EEG Representation Learning for Automatic Sleep StagingCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
A Saliency based Feature Fusion Model for EEG Emotion EstimationCode1
SGDR: Stochastic Gradient Descent with Warm RestartsCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging modelsCode1
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG ClassificationCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
A Lie Group Approach to Riemannian Batch NormalizationCode1
Structure-Preserving Transformers for Sequences of SPD MatricesCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention DetectionCode1
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