A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. - Simon Rabinowicz; Arjen Hommersom; Raphaela Butz; Matt Williams (AIME, 2017)

Explaining the Most Probable Explanation. - Raphaela Butz; Arjen Hommersom; Marko C. J. D. van Eekelen (SUM, 2018)

What is understandable in Bayesian network explanations? - Raphaela Butz; Renée Schulz; Arjen Hommersom; Marko C. J. D. van Eekelen (CoRR, 2021)

Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectives. - Raphaela Butz; Renée Schulz; Arjen Hommersom; Marko C. J. D. van Eekelen (Artif. Intell. Medicine, 2022)

Instance-level augmentation for synthetic agricultural data using depth maps. - Henning Wübben; Raphaela Butz; Kai von Szadkowski; Marco Barenkamp (GIL Jahrestagung, 2023)

Evaluating the Usefulness of Counterfactual Explanations from Bayesian Networks. - Raphaela Butz; Arjen Hommersom; Renée Schulz; Hans van Ditmarsch (Hum. Centric Intell. Syst., 2024)