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Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology2025 RWTH Publications (RWTH Aachen) article Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine J. Hewitt, Nic G. Reitsam, Sebastian Foersch, +5 more
0citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
1citations -
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations -
Leveraging Large Language Models for Enhanced Process Model Comprehension2024 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access
Humam Kourani, Alessandro Berti, Jasmin Hennrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, +2 more
2citations -
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2024 Energy and Buildings article Physics and Astronomy Model Reduction and Neural Networks Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
20citations -
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
0citations -
Leveraging large language models for enhanced process model comprehension2025 Decision Support Systems article Business, Management and Accounting Business Process Modeling and Analysis Open access
Humam Kourani, Alessandro Berti, Jasmin Hennrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, +3 more
8citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
137citations -
Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models2021 conference-paper Computer Science Speech Recognition and Synthesis Open access cited by 1 patent
Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney
38citations -
Model-Guided Local Bayesian Optimization for Tuning of Interpretable Controllers in Injection Molding2026 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Engineering Injection Molding Process and Properties Open access
Robert Göllinger, Xu Chen, Heike Vallery, Sebastian Stemmler
0citations -
Inelastic Constitutive Kolmogorov–Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 International Journal of Engineering Science article Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques2020 BMC Medical Research Methodology article Health Professions Artificial Intelligence in Healthcare Open access
Georgios Kantidakis, Hein Putter, Carlo Lancia, Jacob D. de Boer, Andries Erik Braat, Marta F. Fiocco
80citations