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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
4citations -
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 -
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study8citations
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A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations2026 Journal of Physics Conference Series conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access
Florian Rehm, Sofia Vallecorsa, Michele Grossi, K. Borras, Dirk Krücker
6citations -
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 -
Prediction of the Extent of Blood–Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model2025 Pharmaceutical Research article Computer Science Computational Drug Discovery Methods Open access
Berfin Gülave, Helle W. van den Maagdenberg, Luke van Boven, Gerard J. P. van Westen, Elizabeth C. M. de Lange, J. G. Coen van Hasselt
7citations -
Toward Assay-Aware Bioactivity Model(er)s: Getting a Grip on Biological Context2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Linde Schoenmaker, Enzo G. Sastrokarijo, Laura H. Heitman, Joost B. Beltman, Willem Jespers, Gerard J. P. van Westen
21citations -
Assessing the Generalizability of a Performance Predictive Model2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, +3 more
0citations -
A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne
12citations