Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Robin T. Schirrmeister"'
Autor:
Ann-Kathrin Kiessner, Robin T. Schirrmeister, Lukas A.W. Gemein, Joschka Boedecker, Tonio Ball
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103482- (2023)
Automated clinical EEG analysis using machine learning (ML) methods is a growing EEG research area. Previous studies on binary EEG pathology decoding have mainly used the Temple University Hospital (TUH) Abnormal EEG Corpus (TUAB) which contains appr
Externí odkaz:
https://doaj.org/article/d2b5ef74b2a348ef88e2caef4fbe7c43
Autor:
Lukas A.W. Gemein, Robin T. Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
Publikováno v:
NeuroImage, Vol 220, Iss , Pp 117021- (2020)
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 approaches (with learned features). Previous studies on EEG pathology decoding
Externí odkaz:
https://doaj.org/article/d80c6bedfe70459f9cd1de2630408347
Autor:
Lukas D. J. Fiederer, Martin Völker, Robin T. Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Appropriate robot behavior during human-robot interaction is a key part in the development of human-compliant assistive robotic systems. This study poses the question of how to continuously evaluate the quality of robotic behavior in a hybrid brain-c
Externí odkaz:
https://doaj.org/article/79699bee4a0f4ff7a60634e55f4a4c55