Leo Schwinn, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany
Department of Computer Science
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany
- Phone number: +49 9131 85-20296
- Mobile phone: +49 176 34985668
- Email: leo.schwinn@fau.de
- Website: https://www.mad.tf.fau.de/person/leo-schwinn/
| since 09/2019 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab, |
| 01/2019-03/2019 | Scientific Assistant
IT Security Infrastructures Lab (CS1), |
| 10/2017-08/2019 | M.Sc. in Medical Engineering, “Medical Image and Data Processing”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Pattern Recognition, Machine Learning, Deep Learning |
| 10/2014-10/2017 | B.Sc. in Medical Engineering, “Medical Imaging Systems”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Pattern Recognition |
2020
- , , , , , :
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
International Conference on Process Mining (Padua, 4. October 2020 - 9. October 2020)
In: Proceedings of the 1st International Workshop on Leveraging Machine Learning in Process Mining 2020
BibTeX: Download
2019
- , , , :
Impact of Pathologies on Automatic Age Estimation
Fortschritte der Akustik - DAGA 2019 (DAGA 2019 - 45. Jahrestagung für Akustik) (Rostock, 18. March 2019 - 21. March 2019)
In: Deutsche Gesellschaft für Akustik e.V. (ed.): Fortschritte der Akustik - DAGA 2019, Rostock: 2019
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Schwinn19-IOP.pdf
BibTeX: Download
| Year | Name | Title |
| 2020 | Osman Demir | group:Anomaly Semantic Segmentation with Learnable Wavelet Filters (Master’s Thesis) |