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
9452017
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
KG Hartmann, RT Schirrmeister, T Ball
arXiv preprint arXiv:1806.01875, 2018
962018
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
332018
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
302018
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
292018
Machine-learning-based diagnostics of EEG pathology
LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ...
NeuroImage 220, 117021, 2020
272020
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
272017
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
182017
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
172019
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
152015
Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features
RT Schirrmeister, Y Zhou, T Ball, D Zhang
arXiv preprint arXiv:2006.10848, 2020
112020
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
102018
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
102018
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
102018
Compass-based navigation in street networks
S Funke, R Schirrmeister, S Skilevic, S Storandt
International Symposium on Web and Wireless Geographical Information Systems …, 2015
82015
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
72018
Brain responses during robot-error observation
D Welke, J Behncke, M Hader, RT Schirrmeister, A Schönau, B Eßmann, ...
arXiv preprint arXiv:1708.01465, 2017
72017
Training Generative Reversible Networks
RT Schirrmeister, P Chrabąszcz, F Hutter, T Ball
arXiv preprint arXiv:1806.01610, 2018
62018
Hybrid brain-computer-interfacing for human-compliant robots: inferring continuous subjective ratings with deep regression
LDJ Fiederer, M Völker, RT Schirrmeister, W Burgard, J Boedecker, T Ball
Frontiers in neurorobotics 13, 76, 2019
42019
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
32018
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