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EEG

Electroencephalography epilepsy

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Showing 2001–2025 of 2431 papers

TitleStatusHype
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior—0
Product semantics translation from brain activity via adversarial learning—0
Progress in neural networks for EEG signal recognition in 2021—0
Progressive Graph Convolution Network for EEG Emotion Recognition—0
Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces—0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling—0
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
Pseudo Channel: Time Embedding for Motor Imagery Decoding—0
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback—0
Pseudo-online framework for BCI evaluation: A MOABB perspective—0
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition—0
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding—0
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems—0
Quantifying Data Requirements for EEG Independent Component Analysis Using AMICA—0
Quantifying interictal intracranial EEG to predict focal epilepsy—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models—0
Quantum calcium-ion interactions with EEG—0
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks—0
Quantum Machine‑Based Decision Support System for the Detection of Schizophrenia from EEG Records—0
quEEGNet: Quantum AI for Biosignal Processing—0
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring—0
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