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EEG

Electroencephalography epilepsy

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Showing 701–725 of 2431 papers

TitleStatusHype
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study—0
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
Deep Classification of Epileptic Signals—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
Automatic EEG Independent Component Classification Using ICLabel in Python—0
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals—0
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks—0
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition—0
Deep Generative Models for Physiological Signals: A Systematic Literature Review—0
Deep Invertible Networks for EEG-based brain-signal decoding—0
DeepKey: An EEG and Gait Based Dual-Authentication System—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives—0
Correlation based Multi-phasal models for improved imagined speech EEG recognition—0
Deep Learning Architecture for Motor Imaged Words—0
Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals—0
Deep learning-based classification of fine hand movements from low frequency EEG—0
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks—0
Deep learning analysis of intracranial EEG for recognizing drug effects and mechanisms of action—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
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