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EEG

Electroencephalography epilepsy

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Showing 251–300 of 2431 papers

TitleStatusHype
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
eegFloss: A Python package for refining sleep EEG recordings using machine learning modelsCode1
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesCode1
BIOT: Cross-data Biosignal Learning in the WildCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker ConditionsCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
EEG-based Emotional Video Classification via Learning Connectivity StructureCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
Real-time noise cancellation with Deep LearningCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Closed loop BCI System for Cybathlon 2020Code1
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
A DenseNet-based method for decoding auditory spatial attention with EEGCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Automatic detection of microsleep episodes with deep learningCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access SystemCode1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal TransformerCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural NetworkCode1
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual DecodingCode1
Dreamento: an open-source dream engineering toolbox for sleep EEG wearablesCode1
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram—0
A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals—0
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
A quality control analysis of the resting state hypothesis via permutation entropy on EEG recordings—0
Approximating DTW with a convolutional neural network on EEG data—0
A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems—0
Approximately optimal domain adaptation with Fisher's Linear Discriminant—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Application of Topological Data Analysis to Delirium Detection—0
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition—0
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach—0
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning—0
Application of statistical analysis to working memory problem—0
Application of Machine Learning to Sleep Stage Classification—0
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
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