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EEG

Electroencephalography epilepsy

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Showing 1576–1600 of 2431 papers

TitleStatusHype
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging—0
A multi-artifact EEG denoising by frequency-based deep learning—0
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
Amplifying the Neural Power Spectrum—0
Multiagent Copilot Approach for Shared Autonomy between Human EEG and TD3 Deep Reinforcement Learning—0
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification—0
Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG—0
Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brain—0
Transmodal Analysis of Neural Signals—0
Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG—0
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers—0
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures—0
Multi-Channel Vision Transformer for Epileptic Seizure Prediction—0
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier—0
Multi-Dimensional Framework for EEG Signal Processing and Denoising Through Tensor-based Architecture—0
Multi-feature classifiers for burst detection in single EEG channels from preterm infants—0
Multifractal organization of EEG signals in Multiple Sclerosis—0
Multi-level Binarized LSTM in EEG Classification for Wearable Devices—0
Multilinear Low-Rank Tensors on Graphs & Applications—0
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines—0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography—0
Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest—0
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