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A Variational Kolosov–Muskhelishvili network for elasticity and fracture2026 International Journal of Mechanical Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access
Shuwei Zhou, Christian Häffner, Sophie Stebner, Niklas C. Fehlemann, Zhichao Wei, Sebastian Münstermann
1citations -
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter2024 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, +1 more
6citations -
Analysis of New Biomarkers for the Study of Schizophrenia Following a Radiomics Approach on MR and PET Imaging2022 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Medicine Radiomics and Machine Learning in Medical Imaging
Alejandro Carrasco-Poves, Silvia Ruiz‐España, Cláudia Régio Brambilla, Irene Neuner, Ravichandran Rajkumar, Shukti Ramkiran, +2 more
5citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests2023 arXiv (Cornell University) preprint Psychology Child and Animal Learning Development Open access
Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco René Spruit, Peter van der Putten
4citations -
Introducing Eye Movement Modeling Examples for Programming Education and the Role of Teacher's Didactic Guidance2020 ACM Symposium on Eye Tracking Research and Applications (ETRA) conference-paper Computer Science Teaching and Learning Programming Open access
Selina N. Emhardt, Halszka M. Jarodzka, Saskia Brand‐Gruwel, Christian Drumm, Tamara van Gog
3citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations -
Lessons Learned: Creating Tutorials to Teach Agent-Based Modelling to Archaeologists2025 Journal of Computer Applications in Archaeology article Social Sciences Open Education and E-Learning Open access
Ronald Visser, Karsten Lambers, Kenneth Aitchison, Annemarie Jutte, Doug Rocks-Macqueen, Laura van der Knaap, +4 more
1citations