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EEG

Electroencephalography epilepsy

Papers

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Showing 2201–2225 of 2431 papers

TitleStatusHype
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer NetworksCode0
PFML: Self-Supervised Learning of Time-Series Data Without Representation CollapseCode0
Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRICode0
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised LearningCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
Characterising Alzheimer's Disease with EEG-based Energy Landscape AnalysisCode0
Image-based eeg classification of brain responses to song recordingsCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
Synthetic Epileptic Brain Activities Using Generative Adversarial NetworksCode0
Imagined speech classification using EEGCode0
Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-ProcessingCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural NetworksCode0
Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)Code0
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signalsCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown InputsCode0
Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimesCode0
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary NoiseCode0
Consumer-grade EEG-based Eye TrackingCode0
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional ShiftCode0
Improved robust weighted averaging for event-related potentials in EEGCode0
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