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EEG

Electroencephalography epilepsy

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Showing 1451–1500 of 2431 papers

TitleStatusHype
Leveraging Hyperscanning EEG and VR Omnidirectional Treadmill to Explore Inter-Brain Synchrony in Collaborative Spatial Navigation—0
Leveraging sinusoidal representation networks to predict fMRI signals from EEG—0
Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders—0
Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning—0
LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces—0
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring—0
Analysis of Relation between Motor Activity and Imaginary EEG Records—0
LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG—0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—0
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals—0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG—0
Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset—0
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection—0
Towards Using EEG to Improve ASR Accuracy—0
LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment—0
Analysis of Microstate Organization During Emotional Events—0
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation—0
Toward the application of XAI methods in EEG-based systems—0
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG—0
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain—0
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition—0
Local Model Feature Transformations—0
Locked in Syndrome Machine Learning Classification using Sentence Comprehension EEG Data—0
Long-term changes in functional connectivity predict responses to intracranial stimulation of the human brain—0
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods—0
Low-dimensional representation of brain networks for seizure risk forecasting—0
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning—0
Low-Rank + Sparse Decomposition (LR+SD) for EEG Artifact Removal—0
Analysis of EEG data using complex geometric structurization—0
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards—0
Tracking momentary attention fluctuations with an EEG-based cognitive brain-machine interface—0
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review—0
Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study—0
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study—0
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
Machine Learning-based EEG Applications and Markets—0
Machine Learning Fairness for Depression Detection using EEG Data—0
Machine Learning For Classification Of Antithetical Emotional States—0
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots—0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review—0
Machine Learning for removing EEG artifacts: Setting the benchmark—0
Training on the test set? An analysis of Spampinato et al. [arXiv:1609.00344]—0
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions—0
Machine learning with electroencephalography features for precise diagnosis of depression subtypes—0
Machine learning without a feature set for detecting bursts in the EEG of preterm infants—0
Analysis of Blink Rate Variability during reading and memory testing—0
MAEEG: Masked Auto-encoder for EEG Representation Learning—0
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography—0
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