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The Potential of Hybrid Mechanistic/Data‐Driven Approaches for Reduced Dynamic Modeling: Application to Distillation Columns2020 Chemie Ingenieur Technik article Physics and Astronomy Model Reduction and Neural Networks Open access
Pascal M. Schäfer, Adrian Caspari, Artur M. Schweidtmann, Yannic Vaupel, Adel Mhamdi, Alexander Mitsos
24citations -
Framework for Potential Analysis by Approximating Line-Less Assembly Systems with AutoML2021 Lecture notes in mechanical engineering conference-paper Engineering Flexible and Reconfigurable Manufacturing Systems
Lea Kaven, Jonas Rachner, Amon Göppert, Sazvan Saeed, Robert Heinrich Schmitt
5citations -
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 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 -
The effects of mobile technology usage on cognitive, affective, and behavioural learning outcomes in primary and secondary education: A systematic review with meta‐analysis2022 Journal of Computer Assisted Learning review Computer Science Mobile Learning in Education Open access
Jingxian Wang, Dineke E.H. Tigelaar, Tian Zhou, Wilfried Admiraal
26citations -
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 -
Frontal Midline Theta Promotes Context-dependent Aversive Learning in Social Anxiety2025 Journal of Cognitive Neuroscience article Psychology Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Open access
Selin Topel, Elise D. Kortink, Hanjie Liu, James F. Cavanagh, Melle J. W. van der Molen
1citations -
Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence2025 Developmental Cognitive Neuroscience article Neuroscience Neural and Behavioral Psychology Studies Open access
Anne‐Wil Kramer, Lydia Krabbendam, Jessica Vera Schaaf, Hilde M. Huizenga, Anna C. K. van Duijvenvoorde
7citations