Mario Michael Krell
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An adaptive spatial filter for user-independent single trial detection of event-related potentials
H Woehrle, MM Krell, S Straube, SK Kim, EA Kirchner, F Kirchner
IEEE Transactions on Biomedical Engineering 62 (7), 1696-1705, 2015
How to evaluate an agent's behavior to infrequent events?—Reliable performance estimation insensitive to class distribution
S Straube, MM Krell
Frontiers in Computational Neuroscience 8, 43, 2014
pySPACE-A Signal Processing and Classification Environment in Python
MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ...
Frontiers in Neuroinformatics 7, 40, 2013
On the applicability of brain reading for predictive human-machine interfaces in robotics
EA Kirchner, SK Kim, S Straube, A Seeland, H Wöhrle, MM Krell, M Tabie, ...
PloS one 8 (12), e81732, 2013
Rotational data augmentation for electroencephalographic data
MM Krell, SK Kim
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
Concept of a data thread based parking space occupancy prediction in a Berlin pilot region
T Tiedemann, T Vögele, MM Krell, JH Metzen, F Kirchner
AAAI Workshop: AI for Transportation, 2015
Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data
MM Krell, A Seeland, SK Kim
arXiv preprint arXiv:1801.02730, 2018
Comparison of sensor selection mechanisms for an ERP-based brain-computer interface
D Feess, MM Krell, JH Metzen
PloS one 8 (7), e67543, 2013
Learning coupled dynamic models of underwater vehicles using Support Vector Regression
B Wehbe, MM Krell
OCEANS 2017-Aberdeen, 1-7, 2017
Recupera-Reha: Exoskeleton Technology with Integrated Biosignal Analysis for Sensorimotor Rehabilitation
EA Kirchner, N Will, M Simnofske, LMV Benitez, B Bongardt, MM Krell, ...
2. Transdisziplinäre Konferenz "Technische Unterstützungssysteme, die die …, 2016
Classifier transfer with data selection strategies for online support vector machine classification with class imbalance
MM Krell, N Wilshusen, A Seeland, SK Kim
Journal of Neural Engineering 14 (2), 025003, 2017
Generalizing, Decoding, and Optimizing Support Vector Machine Classification
MM Krell, 2015
Empirical comparison of distributed source localization methods for single-trial detection of movement preparation
A Seeland, MM Krell, S Straube, EA Kirchner
Frontiers in human neuroscience 12, 340, 2018
A Capacity Scaling Law for Artificial Neural Networks
G Friedland, M Krell
arXiv preprint arXiv:1708.06019, 2017
New one-class classifiers based on the origin separation approach
MM Krell, H Wöhrle
Pattern Recognition Letters, 2015
Balanced Relative Margin Machine—The missing piece between FDA and SVM classification
MM Krell, D Feess, S Straube
Pattern Recognition Letters 41, 43-52, 2014
Learning magnetic field distortion compensation for robotic systems
L Christensen, M Krell, F Kirchner
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration
H Woehrle, J Teiwes, MM Krell, EA Kirchner
International Congress on Neurotechnology, Electronics and Informatics …, 2013
Online model identification for underwater vehicles through incremental support vector regression
B Wehbe, A Fabisch, MM Krell
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Accounting for task-difficulty in active multi-task robot control learning
A Fabisch, JH Metzen, MM Krell, F Kirchner
KI-Künstliche Intelligenz 29, 369-377, 2015
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