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EEG

Electroencephalography epilepsy

Papers

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TitleStatusHype
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
CATVis: Context-Aware Thought Visualization—0
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework—0
eegFloss: A Python package for refining sleep EEG recordings using machine learning modelsCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
The time course of visuo-semantic representations in the human brain is captured by combining vision and language models—0
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