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EEG

Electroencephalography epilepsy

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Showing 876–900 of 2431 papers

TitleStatusHype
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning—0
EEG based Emotion Recognition: A Tutorial and Review—0
EEG based Emotion Recognition of Image Stimuli—0
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech—0
BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain—0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning—0
EEG Based Emotion Sensing using convolutional neural networks—0
Detecting Information Relays in Deep Neural Networks—0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers—0
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces—0
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion—0
EEG-based Sleep Staging with Hybrid Attention—0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models—0
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD—0
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals—0
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