Modeling Exception Flows in Integration Systems. - Daniel Ritter 001; Jan Sosulski (EDOC, 2014)

Exception Handling in Message-Based Integration Systems and Modeling Using BPMN. - Daniel Ritter 001; Jan Sosulski (Int. J. Cooperative Inf. Syst., 2016)

Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces. - Jan Sosulski; Michael Tangermann (EMBC, 2019)

Spatial filters for auditory evoked potentials transfer between different experimental conditions. - Jan Sosulski; Michael Tangermann (GBCIC, 2019)

Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints. - Jan Sosulski; David Hübner; Aaron Klein; Michael Tangermann (CoRR, 2021)

Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. - Jan Sosulski; Jan-Philipp Kemmer; Michael Tangermann (Neuroinformatics, 2021)

Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces. - Jan Sosulski; Michael Tangermann (CoRR, 2022)

UMM: Unsupervised Mean-difference Maximization. - Jan Sosulski; Michael Tangermann (CoRR, 2023)

Learning to walk on new ground: Calibration-free decoding for c-VEP BCI. - Jordy Thielen; Jan Sosulski; Michael Tangermann (CoRR, 2024)

Rapidly adapting machine learning methods for brain-computer interfaces. - Jan Sosulski (2024)