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EEG

Electroencephalography epilepsy

Papers

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Showing 976–1000 of 2431 papers

TitleStatusHype
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction—0
Generate your neural signals from mine: individual-to-individual EEG convertersCode1
Interpretable and Robust AI in EEG Systems: A SurveyCode1
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks—0
Skeleton-based action analysis for ADHD diagnosis—0
Bayesian Inference on Brain-Computer Interfaces via GLASSCode0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network—0
Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task—0
Color-based classification of EEG Signals for people with the severe locomotive disorder—0
Amygdala and cortical gamma band responses to emotional faces depend on the attended to valence—0
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data—0
Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome—0
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines—0
Normative brain mapping using scalp EEG and potential clinical application—0
Complementary structural and functional abnormalities to localise epileptogenic tissue—0
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection—0
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface—0
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn CalculationCode0
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface—0
Parkinsons Disease Detection via Resting-State Electroencephalography Using Signal Processing and Machine Learning Techniques—0
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring ModelsCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
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