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 | 10 | 2022 |
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 | 6 | 2018 |
Mobile projection-based augmented reality in work environments–an exploratory approach S Büttner, A Besginow, M Prilla, C Röcker Gesellschaft für Informatik eV, 2018 | 6 | 2018 |
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 | 2 | 2022 |
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 | 1 | 2020 |
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 | 1 | 2020 |
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 |