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EEG

Electroencephalography epilepsy

Papers

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Showing 1951–2000 of 2431 papers

TitleStatusHype
Ballistocardiogram artifact reduction in simultaneous EEG-fMRI using deep learning—0
Manifold Embedded Knowledge Transfer for Brain-Computer InterfacesCode0
Decoding Working Memory Load from EEG with LSTM Networks—0
Neural Memory Plasticity for Anomaly Detection—0
Increasing the Detectability of Phase-Amplitude Coupling—0
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing—0
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data—0
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics—0
Multi-subject MEG/EEG source imaging with sparse multi-task regression—0
Mental Task Classification Using Electroencephalogram SignalCode0
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents—0
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep NetworksCode0
Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity—0
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training—0
Sleep Stage Classification Using Bidirectional LSTM in Wearable Multi-sensor Systems—0
CogniVal: A Framework for Cognitive Word Embedding EvaluationCode0
Improved robust weighted averaging for event-related potentials in EEGCode0
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure DetectionCode0
Carbogen inhalation during Non-Convulsive Status Epilepticus: A quantitative analysis of EEG recordings—0
Spoken Speech Enhancement using EEG—0
EEG based Emotion Recognition of Image Stimuli—0
Unravelling the neural signatures of dream recall in EEG: a deep learning approach—0
Tracking momentary attention fluctuations with an EEG-based cognitive brain-machine interface—0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study—0
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks—0
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks—0
Deep User Identification Model with Multiple Biometrics—0
Machine learning with electroencephalography features for precise diagnosis of depression subtypes—0
Localization of MEG and EEG Brain Signals by Alternating Projection—0
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks—0
Complex Deep Learning Models for Denoising of Human Heart ECG signals—0
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction—0
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing—0
Synthetic Epileptic Brain Activities Using Generative Adversarial NetworksCode0
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects—0
A-Phase classification using convolutional neural networks—0
Electroencephalography based Classification of Long-term Stress using Psychological Labeling—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
Deep Invertible Networks for EEG-based brain-signal decoding—0
Machine learning without a feature set for detecting bursts in the EEG of preterm infants—0
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG—0
Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG—0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Tensor Decomposition for EEG Signal Retrieval—0
Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version)—0
Predicting epileptic seizures using nonnegative matrix factorizationCode0
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