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EEG

Electroencephalography epilepsy

Papers

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Showing 226–250 of 2431 papers

TitleStatusHype
Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration—0
Hyperdimensional Computing for ADHD Classification using EEG Signals—0
Decoding EEG Speech Perception with Transformers and VAE-based Data Augmentation—0
Motif Discovery Framework for Psychiatric EEG Data Classification—0
Enhancing Listened Speech Decoding from EEG via Parallel Phoneme Sequence PredictionCode0
Bayesian Model Parameter Learning in Linear Inverse Problems with Application in EEG Focal Source Imaging—0
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment—0
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm—0
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI—0
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior—0
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks—0
LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment—0
SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG—0
Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research—0
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio—0
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Real-time classification of EEG signals using Machine Learning deploymentCode0
Revealing the Self: Brainwave-Based Human Trait Identification—0
Signal Transformation for Effective Multi-Channel Signal Processing—0
Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual DecodingCode1
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain RecordingsCode0
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing SystemsCode0
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