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Bayesian calibration, process modeling and uncertainty quantification in biotechnology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
4citations -
VReedom: training for authorized leave of absence through virtual reality – a feasibility study2023 Frontiers in Psychology article Computer Science Virtual Reality Applications and Impacts Open access
Cylia Hendriks, Jochem Milan Jansen, Lisanne M Smulders, Arne Popma, Thimo M. van der Pol
6citations -
Understanding Volcanic Seismic Patterns with Unsupervised ML Clustering: Application at Mount Etna volcano2026 EGU General Assembly Conference Abstracts conference-abstract Computer Science Seismology and Earthquake Studies Open access
Waed Abed, Zahra Zali, Mariangela Sciotto, Ornella Cocina, Andrea Cannata, Matteo Picozzi, +4 more
0citations -
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks2024 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
6citations -
Multi-center evaluation of an automated pipeline to segment perivascular spaces from routine MRI in patients with small vessel disease2024 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access
Alberto De Luca, Ana Sofia Costa, Geert Jan Biessels, María del C. Valdés Hernández, Lucia Ballerini, Francesca M. Chappell, +6 more
0citations -
On the generalization ability of probabilistic neural networks for hyperspectral remote sensing of absorption properties across optically complex waters2025 Remote Sensing of Environment article Computer Science Remote-Sensing Image Classification Open access
Mortimer Werther, Olivier Burggraaff, Daniela Gurlin, Arun M. Saranathan, Sundarabalan V. Balasubramanian, Claudia Giardino, +10 more
19citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2citations -
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 -
Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans2024 Archives of Toxicology article Computer Science Computational Drug Discovery Methods Open access
René Geci, Domenico Gadaleta, Marina García de Lomana, Rita Ortega-Vallbona, Erika Colombo, Eva Serrano‐Candelas, +3 more
33citations -
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney2024 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Ekin Yağış, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, +7 more
25citations