17 citations · 43 across the 7 of their papers we have counts for
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cs.CE2024★ 1 cited
What Causes Performance Degradation in Cross-Subject EEG Classification?
Yihe Wang, Taida Li, Yujun Yan +2
Cross-subject Electroencephalography (EEG) classification typically achieves significantly lower performance than subject-dependent settings. Although this phenomenon has been wide…
eess.SP2024★ 2 cited
ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection
Yihe Wang, Nadia Mammone, Darina Petrovsky +3
Electroencephalography (EEG) has emerged as a cost-effective and efficient tool to support neurologists in the detection of Alzheimer's Disease (AD). However, most existing approac…
eess.SP2024★ 16 cited
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li +2
Medical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases…