Fabian Stieler M.Sc.
Telefon: | +49 821 598-2471 |
E-Mail: | fabian.stieler@informatik.uni-augsburginformatik.uni-augsburg.de () |
Raum: | 3005 (N) |
Adresse: | Universit?tsstra?e 6a, 86159 Augsburg |
Kurzlebenslauf
- 2017: Bachelor of Science, Wirtschaftsinformatik
- 2019: Master of Science, Informatik & Informationswirtschaft
Forschungsbereiche
- Machine Learning Operations (MLOps)
- Explainable Artificial Intelligence (XAI)
- Active Learning (AL)
Abschlussarbeiten
- Reduktion des Annotationsaufwands -?Ein Vergleich von Active Learning Frameworks (Bachelorarbeit)?????
- Bias Detection using Interpretable Machine Learning Methods (Bachelorarbeit)
- Evaluating Explainability in the Context of Active Learning (Masterarbeit)
- Interpretierbares Maschinelles Lernen mit EKG Daten (Bachelorarbeit)
- Model Explanations as Quality Gate in Machine Learning Pipelines (Masterarbeit)
- Evaluating Explainable AI Algorithms Using Scenario-Based Focus Groups (Masterarbeit)
Publikationen
2024 |
Vivian Grünherz, Alanna Ebigbo, Miriam Elia, Alessandra Brunner, Tamara Krafft, Leo P?ller, Pia Schneider, Fabian Stieler, Bernhard Bauer, Anna Muzalyova, Helmut Messmann and Sandra Nagl. 2024. Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes. BMJ Open Gastroenterology 11, 1, e001396. DOI: 10.1136/bmjgast-2024-001396 |
2023 |
Fabian Stieler and Bernhard Bauer. 2023. Git workflow for active learning - a development methodology proposal for data-centric AI projects. In Hermann Kaindl, Mike Mannion, Leszek Maciaszek (Eds.). Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023), April 24-25, 2023, in Prague, Czech Republic. SciTePress, Setúbal, 202-213 DOI: 10.5220/0011988400003464 |
Fabian Stieler, Miriam Elia, Benjamin Weigell, Bernhard Bauer, Peter Kienle, Anton Roth, Gregor Müllegger, Marius Nann and Sarah Dopfer. 2023. LIFEDATA - a framework for traceable active learning projects. In Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff (Eds.). 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW), 4-5 September 2023, Hannover, Germany. IEEE, Piscataway, NJ, 465-474 DOI: 10.1109/REW57809.2023.00088 |
Miriam Elia, Tobias Peter, Fabian Stieler, Bernhard Bauer, Sandra Nagl, Alanna Ebigbo and Vivien Grünherz. 2023. Precision medicine for achalasia diagnosis: a multi-modal and interdisciplinary approach for training data generation [Abstract]. In IEEE - ISBI 2023: International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, April 18-21, 2023. |
2022 |
Fabian Stieler, Marius Nann and Bernhard Bauer. 2022. Vertrauenswürdige KI in der 威尼斯赌博游戏_威尼斯赌博app-【官网】izin - von effizienter Datenannotation bis intuitiver Modellerkl?rung. In KI-Fabrigk @WIKOIN22, Ingolstadt, 30. Juni 2022. |
2021 |
Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2021. Towards domain-specific explainable AI: model interpretation of a skin image classifier using a human approach. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021, 19-25 June 2021, Nashville, TN, USA. IEEE, Piscataway, NJ, 1802-1809 DOI: 10.1109/CVPRW53098.2021.00199 |
2020 |
Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2020. Federated medical data - how much can deep learning models benefit? [Poster]. In AMIA 2020 Virtual Clinical Informatics Converence, May 19-21. |
2018 |
Harald Schmidbauer, Angi R?sch and Fabian Stieler. 2018. Patterns of interest in industrial brands: Instagram media uploads and sentiment. In Len Tashman, Fotios Petropoulos (Eds.). International Symposium on Forecasting (ISF) 2018, Boulder (CO), USA, June 16-20, 2018. International Institute of Forecasters |
Harald Schmidbauer, Angi R?sch and Fabian Stieler. 2018. The 2016 US presidential election and media on Instagram: who was in the lead?. Computers in Human Behavior 81, 148-160. DOI: 10.1016/j.chb.2017.11.021 |
2017 |
Harald Schmidbauer, Angi R?sch and Fabian Stieler. 2017. Patterns of interest in industrial brands: media uploads to Instagram. In 23rd IIF Workshop on Predictive Analytics and Forecasting (IIF 2017) - Research and Applications, Munich, Germany, September 14-15, 2017. International Institute of Forecasters |