LUP Statistics
Record
- Title
- Real-World Applications of Anomaly Detection : Detecting the Unexpected Through Distributional Modelling
- Type
- Licentiate Thesis
- Publ. year
- 2026
- Author/s
- Åström, Oskar
- Department/s
- Computer Vision and Machine Learning; eSSENCE: The e-Science Collaboration; LTH Profile Area: Engineering Health; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; LTH Profile Area: AI and Digitalization
- In LUP since
- 2026-01-19
Downloads
| Total | This Year | This Month |
| 19 | 19 | 0 |
Sweden  |
10 (53%) |
China  |
3 (16%) |
Unknown  |
2 (11%) |
United States of America  |
1 (5%) |
Denmark  |
1 (5%) |
Singapore  |
1 (5%) |
Hong Kong (China)  |
1 (5%) |