People:
Thorben Werner, M.Sc. IMIT Applied Computer Science
Office hour:
Tue 10:00 - 12:00; Spl, C207
Tue 10:00 - 12:00; Spl, C207
Phone, Email:
Phone: | 05121 / 883-40374 |
e-mail: |
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Publications:
- Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
A Cross-Domain Benchmark for Active Learning, in arXiv:2408.00426. - Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training, in arXiv:2404.06966. . - Lars Leyendecker, Shobhit Agarwal, Robert H. Schmitt, Thorben Werner (2022):
A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing, Bildverarbeitung in der Automation und Kommunikation in der Automation (BVAU 22) . - Dr. Nghia Duong-Trung, Stefan Born, JongWoo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto Martinez, Mariano Nicolas Cruz-Bournazou, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer,, Thorben Werner (2022):
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development, Biochemical Engineering Journal . - Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme (2022):
Open Set Recognition for Time Series Classification, in Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference.
Other Resources: AL Benchmark