4 citations · 5 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
Qiyu Rao, Haozhe Tian, Homayoun Hamedmoghadam +1
Denoising electroencephalogram (EEG) is an inherently challenging task, since neural activity is not only subtle but also inseparable from spectrally overlapping noise artifacts. T…
stat.ME2026
Synthesizing Epileptic Seizures: Gaussian Processes for EEG Generation
Nina Moutonnet, Joshua Corneck, Felipe Tobar +1
Reliable seizure detection from electroencephalography (EEG) time series is a high-priority clinical goal, yet the acquisition cost and scarcity of labeled EEG data limit the perfo…