A recurrent machine learning model predicts intracranial hypertension in neurointensive care patients N Schweingruber, MMD Mader, A Wiehe, F Röder, J Göttsche, S Kluge, ... Brain 145 (8), 2910-2919, 2022 | 25 | 2022 |
Sampled policy gradient for learning to play the game agar. io AO Wiehe, NS Ansó, MM Drugan, MA Wiering arXiv preprint arXiv:1809.05763, 2018 | 12 | 2018 |
Deep reinforcement learning for pellet eating in agar. IO N Ansó, A Wiehe, M Drugan, M Wiering The 11th International Conference on Agents and Artificial Intelligence, 123-133, 2019 | 5 | 2019 |
Language over labels: Contrastive language supervision exceeds purely label-supervised classification performance on chest x-rays A Wiehe, F Schneider, S Blank, X Wang, HP Zorn, C Biemann Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 3 | 2022 |
Domain Adaptation for Multi-Modal Foundation Models AO Wiehe Master Thesis, Universitat Hamburg, Hamburg, 2022 | 1 | 2022 |
Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine … N Schweingruber, J Bremer, A Wiehe, MMD Mader, C Mayer, MS Woo, ... Journal of Clinical Monitoring and Computing, 1-12, 2024 | | 2024 |
Sampled Policy Gradient Compared to DPG, CACLA, and Q-Learning in the Game Agar. io A Wiehe | | 2018 |