Mario Michael Krell
Zitiert von
Zitiert von
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
Rotational data augmentation for electroencephalographic data
MM Krell, SK Kim
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
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
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
Learning coupled dynamic models of underwater vehicles using Support Vector Regression
B Wehbe, MM Krell
OCEANS 2017-Aberdeen, 1-7, 2017
Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data
MM Krell, A Seeland, SK Kim
arXiv preprint arXiv:1801.02730, 2018
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
Comparison of sensor selection mechanisms for an ERP-based brain-computer interface
D Feess, MM Krell, JH Metzen
PloS one 8 (7), e67543, 2013
Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance
MM Krell, M Kosec, SP Perez, M Iyer, AW Fitzgibbon
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
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
Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence/Machine Learning Workloads
A Nasari, H Le, R Lawrence, Z He, X Yang, M Krell, A Tsyplikhin, ...
Practice and Experience in Advanced Research Computing, 1-9, 2022
A Capacity Scaling Law for Artificial Neural Networks
G Friedland, M Krell
arXiv preprint arXiv:1708.06019, 2017
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
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
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
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