FB Mathematik, Informatik, Technik
Hochschule Koblenz
- 02642/932-300
- 02642/932-301
Schwanen, Christopher T.; Pakusa, Wied; van der Aalst, Wil M. P.
Computational Complexity of AlignmentsarXiv (CoRR abs/2603.05331). arXiv
Friemert, Daniel; Schnur, David; Runkel, Simon et al.
Limitations of Public Biomechanical Movement Datasets for Deep Learning : Issues of Metadata, Standardization, and Variety in Motion Types32 S.
Ziyuan, Li; Jaekel, Uwe; Dellen, Babette
Advancing Complex-Valued Neural Networks with Product Units for MRI ReconstructionInternational Conference on Neural Information Processing (ICONIP 2025) (Hrsg).
Ziyuan, Li; Jaekel, Uwe; Dellen, Babette
Deep residual learning with product unitshttps://arxiv.org/abs/2505.04397 (Hrsg). Computer Science.
Neuhäuser, Markus
A Modified Chebyshev Inequality and Its Appropriateness for Nonparametric TestingStats. Bd. 9. H. 5. 2026
Murakami, Hidetoshi; Neuhäuser, Markus
A Multisample Rank Statistic for Testing the Equality of DistributionsAustrian Journal of Statistics. Bd. 55. H. 4. 2026 S. 107 - 120
Mackowiak, Malwina M; Hoyer, Annika; Piedboeuf-Potyka, Katharina et al.
Causal effect of diabetes duration on productivity by socio-economic position in Germany between 2009 and 2021European Journal of Public Health. Bd. 36. H. 2. 2026 ckag041
Neuhäuser, Markus
Changes in Variance and the Detection of Trendsstats. Bd. 9. H. 4. MDPI AG 2026 Article 67
Schwanen, Christopher T.; Pakusa, Wied; van der Aalst, Wil M. P.
Coming Home for Blocking Transitions FastApplication and Theory of Petri Nets and Concurrency - 47th International Conference, PETRI NETS 2026. Springer 2026 S. 289 - 311 (Lecture Notes in Computer Science)
Roth, Sebastian; Cerrito, Adrien; Orth, Samuel et al.
COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AIMachine Learning and Knowledge Extraction. Bd. 8. H. 1. MDPI AG 2026 S. 24