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EEG

Electroencephalography epilepsy

Papers

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Showing 1101–1125 of 2431 papers

TitleStatusHype
Decoding Working Memory Load from EEG with LSTM Networks—0
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network—0
Automatic Detection of Arousals during Sleep using Multiple Physiological Signals—0
Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
An automated approach for task evaluation using EEG signals—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface—0
Decoding Part-of-Speech from Human EEG Signals—0
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models—0
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach—0
Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals—0
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures—0
Comparison of linear and nonlinear methods for decoding selective attention to speech from ear-EEG recordings—0
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals—0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges—0
An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information—0
A Dynamical Systems Approach to Predicting Patient Outcome after Cardiac Arrest—0
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
Decoding individual words from non-invasive brain recordings across 723 participants—0
Decoding index finger position from EEG using random forests—0
An Analysis of Two Common Reference Points for EEGs—0
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation—0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
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