2 citations · 2 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
EEG-FM-Audit: A Systematic Evaluation and Analysis Pipeline for EEG Foundation Models
Xianheng Wang, Yige Yang, Damien Coyle
Large EEG Foundation Models (FMs) have shown great potential for decoding EEG signals across diverse cognitive tasks. However, existing EEG-FM studies exhibit three critical limita…
cs.LG2024★ 2 cited
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify ch…