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2020 – today
- 2024
[b1]Jan Sosulski:
Rapidly adapting machine learning methods for brain-computer interfaces. University of Freiburg, Freiburg im Breisgau, Germany, 2024- [i4]Jordy Thielen
, Jan Sosulski, Michael Tangermann:
Learning to walk on new ground: Calibration-free decoding for c-VEP BCI. CoRR abs/2403.15521 (2024) - 2023
- [i3]Jan Sosulski, Michael Tangermann:
UMM: Unsupervised Mean-difference Maximization. CoRR abs/2306.11830 (2023) - 2022
- [i2]Jan Sosulski, Michael Tangermann:
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces. CoRR abs/2202.02001 (2022) - 2021
- [j2]Jan Sosulski, Jan-Philipp Kemmer, Michael Tangermann:
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. Neuroinformatics 19(3): 461-476 (2021) - [i1]Jan Sosulski, David Hübner, Aaron Klein, Michael Tangermann:
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints. CoRR abs/2109.06011 (2021)
2010 – 2019
- 2019
- [c3]Jan Sosulski, Michael Tangermann:
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces. EMBC 2019: 2256-2260 - [c2]Jan Sosulski, Michael Tangermann:
Spatial filters for auditory evoked potentials transfer between different experimental conditions. GBCIC 2019 - 2016
- [j1]Daniel Ritter, Jan Sosulski:
Exception Handling in Message-Based Integration Systems and Modeling Using BPMN. Int. J. Cooperative Inf. Syst. 25(2): 1650004:1-1650004:38 (2016) - 2014
- [c1]Daniel Ritter, Jan Sosulski:
Modeling Exception Flows in Integration Systems. EDOC 2014: 12-21
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