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EEG

Electroencephalography epilepsy

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Showing 2151–2200 of 2431 papers

TitleStatusHype
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller—0
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance—0
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms—0
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary NoiseCode0
A Hierarchical Fuzzy System for an Advanced Driving Assistance System—0
A Multi-Context Character Prediction Model for a Brain-Computer Interface—0
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis—0
Focal onset seizure prediction using convolutional networks—0
Adaptive neural network classifier for decoding MEG signals—0
Multivariate Convolutional Sparse Coding for Electromagnetic Brain SignalsCode0
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference—0
Brain Age from the Electroencephalogram of Sleep—0
Lehmer Transform and its Theoretical Properties—0
A New Method for Epileptic Seizure Classification in EEG Using Adapted Wavelet Packets—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression—0
WU-NEAT: A clinically validated, open- source MATLAB toolbox for limited-channel neonatal EEG analysis—0
Intracranial Error Detection via Deep Learning—0
Classification of Epileptic EEG Signals by Wavelet based CFC—0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface—0
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
Automated EEG-based Screening of Depression Using Deep Convolutional Neural Network—0
Organization and Independence or Interdependence? Study of the Neurophysiological Dynamics of Syntactic and Semantic Processing—0
Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD—0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
Epileptic Seizure Detection: A Deep Learning Approach—0
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis—0
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDACode0
EEG emotion recognition using dynamical graph convolutional neural networks—0
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsCode0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression—0
On the Variability of Chaos Indices in Sleep EEG Signals—0
A Technique Based on Chaos for Brain Computer Interfacing—0
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsCode0
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown InputsCode0
A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.—0
Measuring Consciousness—0
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier—0
Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality—0
Reduced integration and improved segregation of functional brain networks in Alzheimer's disease—0
Multi-View Bayesian Correlated Component Analysis—0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests—0
Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem—0
To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyss—0
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory—0
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