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All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations -
Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop2025 IEEE Transactions on Vehicular Technology article Computer Science Reinforcement Learning in Robotics
Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, +1 more
5citations -
Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum2025 International Journal of Dynamics and Control article Computer Science Reinforcement Learning in Robotics Open access
Faras Brumand‐Poor, Paul Wagemann, Timm Geibel, Katharina Schmitz
4citations -
Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study2024 Journal of Biomedical Informatics article Computer Science Privacy-Preserving Technologies in Data Open access
Pedro Mateus, Justine E. F. Moonen, Magdalena Beran, Eva A. Jaarsma, Sophie M. van der Landen, Joost Heuvelink, +11 more
31citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Predicting clinical drug response from model systems by non-linear subspace-based transfer learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
9citations -
Deep learning segmentation model for quantification of infarct size in pigs with myocardial ischemia/reperfusion2024 Basic Research in Cardiology article Computer Science Medical Image Segmentation Techniques Open access
Felix Braczko, Andreas Skyschally, Helmut Raphael Lieder, Jakob Nikolas Kather, Petra Kleinbongard, Gerd Heusch
2citations