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EEG

Electroencephalography epilepsy

Papers

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Showing 1401–1450 of 2431 papers

TitleStatusHype
Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization—0
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation—0
Towards Privacy-Preserving Neural Architecture Search—0
Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study—0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning—0
Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition—0
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface—0
Joint SCSP-LROM: A novel approach to detect Cerebrovascular Anomalies from EEG signals—0
Jump Plus AM-FM Mode Decomposition—0
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities—0
K-complex Detection Using Fourier Spectrum Analysis In EEG—0
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework—0
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification—0
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection—0
Knowledge extraction, modeling and formalization: EEG case study—0
Knowledge-guided EEG Representation Learning—0
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification—0
Labeler-hot Detection of EEG Epileptic Transients—0
La mie de pain n'est pas une amie: une \'etude EEG sur la perception de diff\'erences infra-phon\'emiques en situation de variations (Robustness of fine acoustic cues and Speech variability: a Mismatch Negativity study) [in French]—0
An automated approach for task evaluation using EEG signals—0
Large Cognition Model: Towards Pretrained EEG Foundation Model—0
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures—0
Large Language Models for EEG: A Comprehensive Survey and Taxonomy—0
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing—0
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
Latent Alignment with Deep Set EEG Decoders—0
Latent neural source recovery via transcoding of simultaneous EEG-fMRI—0
Latent Representation Learning for Multimodal Brain Activity Translation—0
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model—0
Towards Subject Agnostic Affective Emotion Recognition—0
An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information—0
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network—0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference—0
Learning Deep Matrix Representations—0
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering—0
Towards the Classification of Error-Related Potentials using Riemannian Geometry—0
An Analysis of Two Common Reference Points for EEGs—0
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design—0
Web Search via an Efficient and Effective Brain-Machine Interface—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition—0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders—0
Lehmer Transform and its Theoretical Properties—0
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
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