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EEG

Electroencephalography epilepsy

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Showing 551–575 of 2431 papers

TitleStatusHype
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive LearningCode1
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals—0
Noisy Data Visualization using Functional Data Analysis—0
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure DetectionCode0
Speech Imagery BCI Training Using Game with a PurposeCode0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks—0
MAD: Multi-Alignment MEG-to-Text DecodingCode1
Learning Robust Representations of Tonic-Clonic Seizures With Cyclic TransformerCode0
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
Recurrent and Convolutional Neural Networks in Classification of EEG Signal for Guided Imagery and Mental Workload Detection—0
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series ClassificationCode2
Combining Euclidean Alignment and Data Augmentation for BCI decoding—0
Robust Hyperbolic Learning with Curvature-Aware Optimization—0
High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training—0
Pseudo Channel: Time Embedding for Motor Imagery Decoding—0
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier—0
Online Mental Stress Detection Using Frontal-channel EEG Recordings in a Classroom Scenario—0
NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification—0
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery ClassificationCode1
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations—0
A quality control analysis of the resting state hypothesis via permutation entropy on EEG recordings—0
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG—0
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