234 citations · 244 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 10 cited
Deep Riemannian Networks for End-to-End EEG Decoding
Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein +1
State-of-the-art performance in electroencephalography (EEG) decoding tasks is currently often achieved with either Deep-Learning (DL) or Riemannian-Geometry-based decoders (RBDs).…
eess.IV2020★ 234 cited
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz +5
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approache…