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Identification of mitochondrial toxicants by combined in silico and in vitro studies – A structure-based view on the adverse outcome pathway2020 Computational Toxicology article Computer Science Computational Drug Discovery Methods Open access
Florentina Troger, Johannes Delp, Melina Funke, Wanda van der Stel, Claire Colas, Marcel Leist, +2 more
22citations -
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns14citations
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Learning multimodal explainable AI models from medical images and tabular data: proof of concept2025 SPIE Medical Imaging: Image Processing conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Kajetan Schweighofer, Natalia Dyubankova, Gerard J. P. van Westen, Herman van Vlijmen
9citations -
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 -
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 -
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten
1citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 International Workshop on Semantic Evaluation (SemEval) conference-paper Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations