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Robin Tibor Schirrmeister
Robin Tibor Schirrmeister
PhD Candidate, Neuromedical AI Lab and Machine Learning Lab, University Freiburg
Verified email at uniklinik-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Deep learning with convolutional neural networks for EEG decoding and visualization
RT Schirrmeister, JT Springenberg, LDJ Fiederer, M Glasstetter, ...
Human brain mapping 38 (11), 5391-5420, 2017
16922017
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
KG Hartmann, RT Schirrmeister, T Ball
arXiv preprint arXiv:1806.01875, 2018
1872018
Machine-learning-based diagnostics of EEG pathology
LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ...
NeuroImage 220, 117021, 2020
1052020
Deep transfer learning for error decoding from non-invasive EEG
M Völker, RT Schirrmeister, LDJ Fiederer, W Burgard, T Ball
2018 6th International Conference on Brain-Computer Interface (BCI), 1-6, 2018
552018
Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features
R Schirrmeister, Y Zhou, T Ball, D Zhang
Advances in Neural Information Processing Systems 33, 21038-21049, 2020
522020
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
KG Hartmann, RT Schirrmeister, T Ball
2018 6th International Conference on Brain-Computer Interface (BCI), 1-6, 2018
392018
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks
J Behncke, RT Schirrmeister, W Burgard, T Ball
2018 6th international conference on brain-computer interface (BCI), 1-6, 2018
382018
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing
D Kuhner, LDJ Fiederer, J Aldinger, F Burget, M Völker, RT Schirrmeister, ...
Robotics and Autonomous Systems 116, 98-113, 2019
332019
Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills
F Burget, LDJ Fiederer, D Kuhner, M Völker, J Aldinger, RT Schirrmeister, ...
2017 European Conference on Mobile Robots (ECMR), 1-6, 2017
292017
Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication
O Iljina, J Derix, RT Schirrmeister, A Schulze-Bonhage, P Auer, A Aertsen, ...
Brain-Computer Interfaces 4 (3), 186-199, 2017
282017
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
K Gregor Hartmann, R Tibor Schirrmeister, T Ball
arXiv e-prints, arXiv: 1806.01875, 2018
202018
Automatic extrapolation of missing road network data in OpenStreetMap
S Funke, R Schirrmeister, S Storandt
Proceedings of the 2nd International Conference on Mining Urban Data-Volume …, 2015
202015
A large-scale evaluation framework for EEG deep learning architectures
FA Heilmeyer, RT Schirrmeister, LDJ Fiederer, M Volker, J Behncke, ...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
152018
Intracranial error detection via deep learning
M Volker, J Hammer, RT Schirrmeister, J Behncke, LDJ Fiederer, ...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
122018
Deep learning with convolutional neural networks for decoding and visualization of eeg pathology
RT Schirrmeister, L Gemein, K Eggensperger, F Hutter, T Ball
arXiv preprint arXiv:1708.08012, 2017
122017
Deep learning based BCI control of a robotic service assistant using intelligent goal formulation
D Kuhner, LDJ Fiederer, J Aldinger, F Burget, M Völker, RT Schirrmeister, ...
bioRxiv, 282848, 2018
112018
Compass-based navigation in street networks
S Funke, R Schirrmeister, S Skilevic, S Storandt
Web and Wireless Geographical Information Systems: 14th International …, 2015
102015
Brain responses during robot-error observation
D Welke, J Behncke, M Hader, RT Schirrmeister, A Schönau, B Eßmann, ...
arXiv preprint arXiv:1708.01465, 2017
92017
Training Generative Reversible Networks
RT Schirrmeister, P Chrabąszcz, F Hutter, T Ball
arXiv preprint arXiv:1806.01610, 2018
82018
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
J Behncke, RT Schirrmeister, M Volker, J Hammer, P Marusic, ...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
62018
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