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Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning2025 Lecture notes in computer science conference-paper Medicine Nasal Surgery and Airway Studies Open access
Mario Rüttgers, Fabian Hübenthal, Makoto Tsubokura, Andreas Lintermann
1citations -
Machine learning-driven prioritization of lipoprotein(a) testing: model development and validation2026 European Journal of Preventive Cardiology article Medicine Lipoproteins and Cardiovascular Health Open access
Christophe A. T. Stevens, Fotios Barkas, Julia Brandts, Sunganani Kwilasi, Kanika Dharmayat, Amany K. Elshorbagy, +5 more
1citations -
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks2025 International Conference on Communications conference-paper Engineering Advanced Wireless Network Optimization Open access
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Lin Zhu, Yulin Hu, Marina Petrova, +1 more
0citations -
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, Ben Aussel, S. Kruk, M. Walmsley, Marc Huertas-Company, M Castellano, +94 more
0citations -
Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Jia-Huei Ju, Eugene Yang, Trevor V. Adriaanse, Suzan Verberne, Andrew Yates
0citations -
Estimating the Potential Cardiovascular Benefit of Lifestyle Risk Factors Using Causal Machine Learning: Insights from UK Biobank2026 American Journal of Preventive Cardiology article Medicine Cardiovascular Health and Risk Factors Open access
Christophe A. T. Stevens, Julia Brandts, Amany K. Elshorbagy, Fotis Barkas, Dídac Llop, Kanika Dharmayat, +6 more
0citations -
Methodological choices influence machine learning performance for predicting intracranial hypertension in traumatic brain injury2026 Scientific Reports article Medicine Traumatic Brain Injury and Neurovascular Disturbances Open access
C. R. van Kaam, Cornelia Hoedemaekers, Kim J.M. Bladder, Johannes G. van der Hoeven, Jeanette Tas, Marcel J H Aries, +39 more
0citations -
Exploring Conformational Transitions of Adenine RNA Dimer via Machine Learning Potentials2026 Journal of Chemical Theory and Computation article Biochemistry, Genetics and Molecular Biology RNA and protein synthesis mechanisms Open access
Leonardo Rafael Medrano Sandonas, Macarena Tolmos Nehme, Luis Fernando Cofas‐Vargas, Gustavo E. Olivos-Ramírez, Gianaurelio Cuniberti, Simón Poblete, +1 more
0citations