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Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization2025 Lecture notes in computer science conference-paper Computer Science Reinforcement Learning in Robotics Open access
Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe
0citations -
Restructuring Knowledge Graphs with Conceptual Models: Implications for Machine Learning Predictions in Drug Repurposing2025 Lecture notes in computer science conference-paper Computer Science Semantic Web and Ontologies Open access
César H. Bernabé, Pablo Perdomo-Quinteiro, Annika Jacobsen, Tiago Prince Sales, Núria Queralt-Rosiñach, Katherine Wolstencroft, +3 more
0citations -
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity2023 Frontiers in Psychiatry article Neuroscience Functional Brain Connectivity Studies Open access cited by 1 patent
Sujitha Venkatapathy, Mikhail Votinov, Lisa Wagels, SangYun Kim, Munseob Lee, Ute Habel, +2 more
44citations -
Predicting Aquatic Species Sensitivity Distributions Using Machine Learning in a Regulatory Setting2026 Chemical Research in Toxicology article Environmental Science Environmental Toxicology and Ecotoxicology Open access
Jordi Minnema, Emiel Rorije, Willie J.G.M. Peijnenburg, Pim N.H. Wassenaar
2citations -
Machine Learning Highlights Association of Body Composition with Cholangiocarcinoma Mortality2025 Zeitschrift für Gastroenterologie conference-paper Medicine Cholangiocarcinoma and Gallbladder Cancer Studies
Feng Cao, Katharina Joechle, Tobias Seibel, Niharika Jakhar, Thriveni Basavanapura Raju, Carolin Victoria Schneider, +1 more
0citations -
A causal perspective on Machine Learning for concrete quality predictions and data-driven mixture optimization2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Anil Esen, Elsa Qoku, Thomas Matschei, Chiara Masiero, Gian Antonio Susto
0citations -
Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation2022 Foundations of Data Science article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
4citations -
Artificial neural networks for galaxy clustering: Learning from the two-point correlation function of BOSS galaxies2023 Astronomy and Computing article Physics and Astronomy Cosmology and Gravitation Theories Open access
Niccolò Veronesi, F. Marulli, Alfonso Veropalumbo, Lauro Moscardini
3citations -
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation2021 arXiv (Cornell University) preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
0citations -
Diversity, Individualization, and Enhancement in Motor Learning: Current Challenges and Future Directions From the First Theoretical and Applied Advances in Motor Learning Conference2025 Journal of Motor Learning and Development editorial Neuroscience Motor Control and Adaptation Open access
Russell Weili Chan, Elger L. Abrahamse, Klaus Blischke, Raoul M. Bongers, Arnaud Boutin, Friedhelm Christoph Hummel, +11 more
0citations