René Raab
René Raab, M. Sc.
since 09/2019 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab, |
09/2017-07/2019 | M.Sc. in Artificial Intelligence
Maastricht University, The Netherlands |
08/2016-01/2017 | Erasmus exchange semester
Aarhus University, Denmark |
10/2014-08/2017 | B.Sc. in Kognitive Informatik
Universität Bielefeld, Germany |
Semester | Responsibilities |
Winter 2023/2024 | Green AI – AI for Sustainability and Sustainability of AI (Seminar) |
Summer 2023 | Green AI – AI for Sustainability and Sustainability of AI (Seminar) |
Winter 2022/2023 | Green AI – AI for Sustainability and Sustainability of AI (Seminar) |
Summer 2022 | Green AI – AI for Sustainability and Sustainability of AI (Seminar) |
Summer 2021 | Algorithmen und Datenstrukturen (für Medizintechnik) – Übung |
Winter 2020/21 | Algorithmen und Datenstrukturen (für Medizintechnik) – Übung |
Summer 2020 | Algorithmen und Datenstrukturen (für Medizintechnik) – Übung |
Winter 2019/20 | Algorithmen und Datenstrukturen (für Medizintechnik) – Übung |
2024
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
International Conference on Computational Science 2024
In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (ed.): Computational Science -- ICCS 2024, Cham: 2024
DOI: 10.1007/978-3-031-63772-8_22
BibTeX: Download
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Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning
In: Ecological Informatics (2024), p. 102840
ISSN: 1574-9541
DOI: 10.1016/j.ecoinf.2024.102840
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2023
Aligning Federated Learning with Existing Trust Structures in Health Care Systems
In: International Journal of Environmental Research and Public Health 20 (2023), Article No.: 5378
ISSN: 1661-7827
DOI: 10.3390/ijerph20075378
URL: https://www.mdpi.com/1660-4601/20/7/5378
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Federated electronic health records for the European Health Data Space
In: The Lancet Digital Health 5 (2023), p. e840-e847
ISSN: 2589-7500
DOI: 10.1016/S2589-7500(23)00156-5
URL: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00156-5/fulltext
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Exploring misclassifications of robust neural networks to enhance adversarial attacks
In: Applied Intelligence (2023)
ISSN: 0924-669X
DOI: 10.1007/s10489-023-04532-5
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2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Proceedings of the 39th International Conference on Machine Learning (Baltimore, USA, 17. July 2022 - 23. July 2022)
In: PMLR (ed.): 162 2022
Open Access: https://proceedings.mlr.press/v162/schwinn22a.html
URL: https://proceedings.mlr.press/v162/schwinn22a.html
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Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
In: Animals 12 (2022), p. 692
ISSN: 2076-2615
DOI: 10.3390/ani12060692
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2021
CLIP: Cheap Lipschitz Training of Neural Networks
International Conference on Scale Space and Variational Methods in Computer Vision
In: Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon (ed.): SSVM 2021: Scale Space and Variational Methods in Computer Vision, Cham: 2021
DOI: 10.1007/978-3-030-75549-2_25
URL: https://arxiv.org/abs/2103.12531
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Identifying untrustworthy predictions in neural networks by geometric gradient analysis
Conference on Uncertainty in Artificial Intelligence (UAI) (Online, 27. July 2021 - 30. July 2021)
URL: https://arxiv.org/abs/2102.12196
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Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
International Joint Conference on Neural Networks (IJCNN) (Online, 18. July 2021 - 22. July 2021)
DOI: 10.1109/ijcnn52387.2021.9534190
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Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
URL: https://arxiv.org/abs/2105.10304
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2019
A generative policy gradient approach for learning to play text-based adventure games
BNAIC/BENELEARN 2019 (Brussels, 6. November 2019 - 8. November 2019)
In: Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) 2019
Open Access: http://ceur-ws.org/Vol-2491/abstract18.pdf
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