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EEG

Electroencephalography epilepsy

Papers

Showing 201250 of 2431 papers

TitleStatusHype
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic SettingCode1
NEAR - Newborns EEG Artifact RemovalCode1
A Saliency based Feature Fusion Model for EEG Emotion EstimationCode1
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment ClassificationCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge DevicesCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM modelCode1
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement PredictionCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder FrameworkCode1
Self-supervised EEG Representation Learning for Automatic Sleep StagingCode1
Low-cost brain computer interface for everyday useCode1
Self-supervised Contrastive Learning for EEG-based Sleep StagingCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based ModelCode1
Transformer-based Spatial-Temporal Feature Learning for EEG DecodingCode1
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural NetworkCode1
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
Robust learning from corrupted EEG with dynamic spatial filteringCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer InterfaceCode1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion RecognitionCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
HNPE: Leveraging Global Parameters for Neural Posterior EstimationCode1
Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM ModelCode1
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG ClassificationCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Real-time noise cancellation with Deep LearningCode1
Disguising Personal Identity Information in EEG SignalsCode1
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task LassoCode1
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
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