M. Sc. Jens Decke
AI for Computationally Intelligent Systems (AI4CIS)

- Telefon
- +49 561 804-6037
- Fax
- +49 561 804-6022
- jens.decke[at]uni-kassel[dot]de
- Standort
- Wilhelmshöher Allee 67
34121 Kassel
- Raum
- 4107
Publikationen
2023[ to top ]
- On the Reliability of Automated Analysis of Fracture Surfaces Using a Novel Computer Vision-Based Tool. . In Advanced Engineering Materials, 25(21), bl 2300876. Wiley, 2023.
- Dataset of a parameterized U-bend flow for deep learning application. . In Data in Brief, 50(1), bl 109477. 2023.
- DADO – Low-Cost Query Strategies for Deep Active Design Optimization. . In International Conference on Machine Learning and Applications (ICMLA). 2023.
2022[ to top ]
- Predicting flow stress behavior of an AA7075 alloy using machine learning methods. . In Crystals, 9(12), bll 1–19. MDPI, 2022.
- NDNET: A Unified Framework for Anomaly and Novelty Detection. . In International Conference on Architecture of Computing Systems (ARCS), bll 197–210. Springer, 2022.