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Large-scale insights into the biosynthetic potential of the Bacillus cereus group2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Microbial Natural Products and Biosynthesis Open access
J. Blom, Joseph Wambui, Hadrien Gourlé, Martin F. Larralde, Vignesh Ramnath, Johan Henriksson, +1 more
0citations -
Stability of Binary Precipitates in Cu-Ni-Si-Cr Alloys Investigated Through Active Learning2023 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Ángel Díaz Carral, Xiang Xu, Simon Gravelle, Azade YazdanYar, Siegfried Schmauder, Maria Fyta
0citations -
Stability of Binary Precipitates in Cu-Ni-Si-Cr Alloys Investigated Through Active Learning2023 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Ángel Díaz Carral, Xiang Qun Xu, Simon Gravelle, Azade YazdanYar, Siegfried Schmauder, Maria Fyta
0citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
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 -
Dissecting the Complexities of Learning With Infinite Hidden Markov Models2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Memory and Neural Mechanisms Open access
Sebastian A. Bruijns, Kcénia Bougrova, Inês C. Laranjeira, Petrina Lau, Guido T. Meijer, Nathaniel J Miska, +6 more
9citations -
Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration2026 HAL (Le Centre pour la Communication Scientifique Directe) preprint Computer Science Reinforcement Learning in Robotics
Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes
0citations -
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 -
Adapting to uncertainty: The role of anxiety and fear of negative evaluation in learning in social and non-social contexts2024 preprint Psychology Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Open access
Selin Topel, Ili Ma, Anna C. K. van Duijvenvoorde, Henk van Steenbergen, Ellen de Bruijn
1citations