Wissenschaftliche Artikel

Eschner, J., Labadie‐Tamayo, R., Zeppelzauer, M., & Waldner, M. (2025). Interactive discovery and exploration of visual bias in generative text‐to‐image models. Computer Graphics Forum, Article e70135. https://doi.org/10.1111/cgf.70135 ( reposiTUm)

Beiträge in Tagungsbänden

Ekaputra, F. J., Prock, A., & Elmar, K. (2025). Towards Supporting AI System Engineering with an Extended Boxology Notation. In E. Vakaj, N. Mihindukulasooriya, M. Gaur, & A. Khan (Eds.), Proceedings of the 2nd International Workshop on Knowledge Graphs for Responsible AI (KG-STAR 2025) co-located with the 22nd Extended Semantic Web Conference (ESWC 2025) (pp. 47–61). ( reposiTUm)
Kubesch, J., Kiesling, E., Ekaputra, F. J., Serles, U., Toma, I., & Havas, C. (2025). Exploring the Benefits of Iterative Retrieval-Augmented Generation for Risk Mitigation in LLM Responses. In L. Fischer, U. Göhner, & S. Gül-Ficici (Eds.), Database and Expert Systems Applications - DEXA 2025 Workshops : AISys and AI4IP, Bangkok, Thailand, August 25–27, 2025, Proceedings (pp. 3–14). Springer. https://doi.org/10.1007/978-3-032-02003-1_1 ( reposiTUm)
Staudinger, M., Kern, B. M. J., Miksa, T., Arnhold, L., Knees, P., Rauber, A., & Hanbury, A. (2024). Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. In Proceedings 2024 IEEE 20th International Conference on e-Science (e-Science). IEEE eScience 2024, Osaka, Japan. IEEE. https://doi.org/10.1109/e-Science62913.2024.10678657 ( reposiTUm)

Bücher

Eichinger, A., Knees, P., & Werthner, H. (Eds.). (2024). Digitalisierung und wir: Lehrbuch zum Digitalen Humanismus mit praktischen Übungen. Residenz. https://doi.org/10.34726/8506 ( reposiTUm)