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20232026
most citedInterpretable and Robust AI in EEG Systems: A Survey

16 citations · 22 across the 27 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

q-bio.GN2023

scBeacon: single-cell biomarker extraction via identifying paired cell clusters across biological conditions with contrastive siamese networks

Chenyu Liu, Yong Jin Kweon, Jun Ding

Despite the breakthroughs in biomarker discovery facilitated by differential gene analysis, challenges remain, particularly at the single-cell level. Traditional methodologies heav…

eess.SP2023★ 1 cited

EEG-based Sleep Staging with Hybrid Attention

Xinliang Zhou, Chenyu Liu, Jiaping Xiao +1

Sleep staging is critical for assessing sleep quality and diagnosing sleep disorders. However, capturing both the spatial and temporal relationships within electroencephalogram (EE…

eess.SP2023

EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer

Chenyu Liu, Xinliang Zhou, Yang Liu

Recently Transformer and Convolution neural network (CNN) based models have shown promising results in EEG signal processing. Transformer models can capture the global dependencies…

eess.SP2023

An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance

Xinliang Zhou, Dan Lin, Ziyu Jia +4

Drowsy driving has a crucial influence on driving safety, creating an urgent demand for driver drowsiness detection. Electroencephalogram (EEG) signal can accurately reflect the me…

eess.SP2023★ 16 cited

Interpretable and Robust AI in EEG Systems: A Survey

Xinliang Zhou, Chenyu Liu, Jinan Zhou +5

The close coupling of artificial intelligence (AI) and electroencephalography (EEG) has substantially advanced human-computer interaction (HCI) technologies in the AI era. Differen…