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EEG

Electroencephalography epilepsy

Papers

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Showing 2151–2200 of 2431 papers

TitleStatusHype
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention ScalingCode0
The Sylvester Graphical Lasso (SyGlasso)Code0
Resting state alpha oscillatory activity is a valid and reliable marker of schizotypyCode0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP EventsCode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Window Stacking Meta-Models for Clinical EEG ClassificationCode0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy DetectionCode0
Sleep syndromes onset detection based on automatic sleep staging algorithmCode0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Subspace metrics for multivariate dictionaries and application to EEGCode0
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable AnnotationsCode0
Classification of epileptic seizures in EEG data based on iterative gated graph convolution networkCode0
FLEXtime: Filterbank learning to explain time seriesCode0
Classification of BCI-EEG based on augmented covariance matrixCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer InterfacesCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced NetworkCode0
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity LabelsCode0
Deep learning applied to EEG data with different montages using spatial attentionCode0
Deep Feature Learning for EEG RecordingsCode0
A library of quantitative markers of seizure severityCode0
EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and BaselinesCode0
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain ActivityCode0
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record GenerationCode0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
Towards a Better Understanding Human Reading Comprehension with Brain SignalsCode0
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive NetworkCode0
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problemsCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Bayesian Inference on Brain-Computer Interfaces via GLASSCode0
Sparse and Functional Principal Components AnalysisCode0
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEGCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure DetectionCode0
Unveil Sleep Spindles with Concentration of Frequency and TimeCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
Multichannel sleep spindle detection using sparse low-rank optimizationCode0
ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEGCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
Feature interpretability in BCIs: exploring the role of network lateralizationCode0
Symbolic dynamics of joint brain states during dyadic coordinationCode0
Understanding learning from EEG data: Combining machine learning and feature engineering based on hidden Markov models and mixed modelsCode0
Time Majority Voting, a PC-based EEG Classifier for Non-expert UsersCode0
Context tree selection for functional dataCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
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