Biblio
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Discrete harmonic functions from local coordinates.
(Martin, R., Sabin M., & Winkler J., Ed.).Mathematics of Surfaces XII. HarmonicFunc.pdf (835.96 KB)
(2007).
(2023).
(2023).
Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms.
FIG Working Week 2020. Fig2020.pdf (876.57 KB)
(2020). DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency.
2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning. AHM2022_DeepDoubt.pdf (238.98 KB)
(2022). Detection of variations in holter ECG recordings based on dynamic cluster analysis.
International Conference on Intelligent Decision Technologies.
(2017). Deep transformation models for functional outcome prediction after acute ischemic stroke.
Biometrical Journal. 65, 2100379.
(2023). Deep and interpretable regression models for ordinal outcomes.
Pattern Recognition. 122, 108263.
(2022). Deep and interpretable regression models for ordinal outcomes.
arXiv preprint. 2010.08376.
(2020). Deep Learning Parametrization for B-Spline Curve Approximation.
2018 International Conference on 3D Vision (3DV). 691–699. 0109.pdf (675.91 KB)
(2018). Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data.
ISPRS Journal of Photogrammetry and Remote Sensing. 168, 156 - 169.
(2020). Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.
15th IAPR International Conference on Document Analysis and Recognition. Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.pdf (553.24 KB)
(2019). Deep transformation models: Tackling complex regression problems with neural network based transformation models.
Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021.
(2021). Developing deep learning applications for life science and pharma industry.
Drug research. 68, 305–310.
(2018).