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Andreas Besginow
Andreas Besginow
Wissenschaftlicher Mitarbeiter, Technische Hochschule Ostwestfalen-Lippe
Verified email at th-owl.de
Title
Cited by
Cited by
Year
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
A Besginow, M Lange-Hegermann
Advances in Neural Information Processing Systems 35, 29386–29399, 2022
92022
Mobile projection-based augmented reality in work environments–an exploratory approach
S Büttner, A Besginow, M Prilla, C Röcker
Gesellschaft für Informatik eV, 2018
62018
Intelligent adaptive assistance systems in an industrial context–overview of use cases and features
A Besginow, S Büttner, C Röcker
Gesellschaft für Informatik eV, 2018
52018
Deep learning-based action detection for continuous quality control in interactive assistance systems
A Besginow, S Büttner, N Ukita, C Röcker
Human-Technology Interaction: Shaping the Future of Industrial User …, 2022
22022
On Kernel Search Based Gaussian Process Anomaly Detection
JD Hüwel, A Besginow, F Berns, M Lange-Hegermann, C Beecks
International Conference on Innovative Intelligent Industrial Production and …, 2020
12020
Making object detection available to everyone—a hardware prototype for semi-automatic synthetic data generation
A Besginow, S Büttner, C Röcker
Distributed, Ambient and Pervasive Interactions: 8th International …, 2020
12020
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
A Besginow, JD Hüwel, T Pawellek, C Beecks, M Lange-Hegermann
arXiv preprint arXiv:2403.09215, 2024
2024
Exploring Methods to Apply Gaussian Processes in Industrial Anomaly Detection
A Besginow, JD Hüwel, M Lange-Hegermann, C Beecks
KI 44, 2021
2021
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