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EEG

Electroencephalography epilepsy

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Showing 2101–2150 of 2431 papers

TitleStatusHype
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG—0
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data—0
Scaling laws for decoding images from brain activity—0
ScalingNet: extracting features from raw EEG data for emotion recognition—0
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs—0
SCFNet:A Transferable IIIC EEG Classification Network—0
Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework—0
SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports—0
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models—0
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging—0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis—0
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals—0
SEE: Semantically Aligned EEG-to-Text Translation—0
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity—0
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm—0
Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network—0
Seizure duration is associated with multiple timescales in interictal iEEG band power—0
SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting—0
Comparing Methodological Variations in Seizure Onset Localisation Algorithms using intracranial EEG—0
Seizure pathways and seizure durations can vary independently within individual patients with focal epilepsy—0
Seizure Prediction Using Bidirectional LSTM—0
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning—0
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment—0
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels—0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG—0
Granger Causality using Neural NetworksCode0
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography DataCode0
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological DiagnosticsCode0
Open and free EEG datasets for epilepsy diagnosisCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experimentsCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Analysis of EEG frequency bands for Envisioned Speech RecognitionCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Effect of caffeine and energy drinks on sleep quality and brain activity in college studentsCode0
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationCode0
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning ApproachCode0
Towards Interpretable Seizure Detection Using WearablesCode0
Generalized Concomitant Multi-Task Lasso for sparse multimodal regressionCode0
Active Learning for Regression Using Greedy SamplingCode0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationCode0
MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological FusionCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Coupled generator decomposition for fusion of electro- and magnetoencephalography dataCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure DetectionCode0
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