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Jan Sosulski
Jan Sosulski
Verified email at blbt.uni-freiburg.de
Title
Cited by
Cited by
Year
Exception handling in message-based integration systems and modeling using BPMN
D Ritter, J Sosulski
International Journal of Cooperative Information Systems 25 (02), 1650004, 2016
212016
Modeling exception flows in integration systems
D Ritter, J Sosulski
2014 IEEE 18th International Enterprise Distributed Object Computing …, 2014
132014
Mother of all BCI Benchmarks
B Aristimunha, I Carrara, P Guetschel, S Sedlar, P Rodrigues, J Sosulski, ...
Zenodo, Oct 23, 2023
122023
Classification and modelling of exception types for integration middleware systems
D Ritter, J Sosulski
US Patent 9,406,040, 2016
102016
Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain–computer interfaces
J Sosulski, M Tangermann
Journal of neural engineering 19 (6), 066001, 2022
92022
Improving covariance matrices derived from tiny training datasets for the classification of event-related potentials with linear discriminant analysis
J Sosulski, JP Kemmer, M Tangermann
Neuroinformatics 19, 461-476, 2021
82021
Spatial filters for auditory evoked potentials transfer between different experimental conditions.
J Sosulski, M Tangermann
GBCIC, 2019
72019
Mother of all BCI Benchmarks, 2023
B Aristimunha, I Carrara, P Guetschel, S Sedlar, P Rodrigues, J Sosulski, ...
URL https://github. com/NeuroTechX/moabb, 0
5
Online optimization of stimulation speed in an auditory brain-computer interface under time constraints
J Sosulski, D Hübner, A Klein, M Tangermann
arXiv preprint arXiv:2109.06011, 2021
42021
UMM: Unsupervised mean-difference maximization
J Sosulski, M Tangermann
arXiv preprint arXiv:2306.11830, 2023
32023
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces
J Sosulski, M Tangermann
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
32019
Bachelor Thesis entitled “Exception Handling in Integration Systems based on the Busienss Process Model and Notion”; 84 pages
J Sosulski
submitted timeframe: Feb 10, 2014
22014
Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction
A Meinel, J Sosulski, S Schraivogel, J Reis, M Tangermann
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1806-1816, 2021
12021
Learning to walk on new ground: Calibration-free decoding for c-VEP BCI
J Thielen, J Sosulski, M Tangermann
arXiv preprint arXiv:2403.15521, 2024
2024
Rapidly adapting machine learning methods for brain-computer interfaces
J Sosulski
Dissertation, Universität Freiburg, 2024, 2024
2024
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