Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli. - Benedikt Franke; Jürgen Weese; Irina Wächter-Stehle; Jan Brüning; Titus Kühne; Leonid Goubergrits (Medical Biol. Eng. Comput., 2020)

Lifelong Learning of Graph Neural Networks for Open-World Node Classification. - Lukas Galke; Benedikt Franke; Tobias Zielke; Ansgar Scherp (Zenodo, 2020)

Lifelong Learning of Graph Neural Networks for Open-World Node Classification. - Lukas Galke; Benedikt Franke; Tobias Zielke; Ansgar Scherp (IJCNN, 2021)

Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. - Lukas Galke; Iacopo Vagliano; Benedikt Franke; Tobias Zielke; Ansgar Scherp (CoRR, 2021)

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. - Patrick Feifel; Benedikt Franke; Arne P. Raulf; Friedhelm Schwenker; Frank Bonarens; Frank Köster (AISafety@IJCAI, 2022)

ODD-Based Health Monitoring and Predictive Maintenance of Degrading Vehicle Functionality. - Yannick Kees; Gerald Sauter; Ryan Mut; Benedikt Franke; Frank Köster; Sven Hallerbach (OVERLAY@AI*IA, 2023)

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. - Lukas Galke; Iacopo Vagliano; Benedikt Franke; Tobias Zielke; Marcel Hoffmann 002; Ansgar Scherp (Neural Networks, 2023)

Robustness and Regularization in Hierarchical Re-Basin. - Benedikt Franke; Florian Heinrich; Markus Lange; Arne P. Raulf (ESANN, 2024)

The (Limited) Power of Blockchain Networks for Information Provision. - Benedikt Franke; Qi Gao Fritz; André Stenzel (Manag. Sci., 2024)