René Raab

Machine Learning and Data Analytics Lab

Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data (2024) Schrupp B, Klede K, Raab R, Eskofier B Conference contribution, Conference Contribution Federated electronic health records for the European Health Data Space (2023) Raab R, Küderle A, Zakreuskaya A, Stern AD, Klucken J, Kaissis G, Rueckert D, et al. Journal article Aligning Federated Learning with Existing Trust Structures in Health Care Systems (2023) Abdullahi I, Raab R, Küderle A, Eskofier B Journal article, Original article Exploring misclassifications of robust neural networks to enhance adversarial attacks (2023) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Journal article Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification (2022) Schwinn L, Bungert L, Nguyen A, Raab R, Pulsmeyer F, Precup D, Eskofier B, Zanca D Conference contribution, Conference Contribution Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears (2022) Zürl M, Stoll P, Brehm I, Raab R, Zanca D, Kabri S, Happold J, et al. Journal article CLIP: Cheap Lipschitz Training of Neural Networks (2021) Bungert L, Raab R, Roith T, Schwinn L, Tenbrinck D Conference contribution, Conference Contribution Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks (2021) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Conference contribution, Conference Contribution Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks (2021) Schwinn L, Nguyen A, Raab R, Zanca D, Eskofier B, Tenbrinck D, Burger M Conference contribution, Conference Contribution Identifying untrustworthy predictions in neural networks by geometric gradient analysis (2021) Schwinn L, Nguyen A, Raab R, Bungert L, Tenbrinck D, Zanca D, Burger M, Eskofier B Conference contribution, Conference Contribution