Publications

Franz Baader. Optimal repairs in ontology engineering as pseudo-contractions in belief change. Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, ACM, New York, NY, USA, March 2023.

Christopher Akiki, Giada Pistilli, Margot Mieskes, Matthias Gallé, Thomas Wolf, Suzana Ilić, and Yacine Jernite. BigScience: A case study in the social construction of a multilingual large language model. arXiv, 2022.

Daniel Bühler, Nicole Power Guerra, Luisa Müller, Olaf Wolkenhauer, Martin Düffer, Brigitte Vollmar, Angela Kuhla, and Markus Wolfien. Leptin deficiency-caused behavioral change - A comparative analysis using EthoVision and DeepLabCut. Front. Neurosci., (17):1052079, March 2023. [PUMA: DeepLabCut; EthoVision; analysis; behavioral deep learning; obesity]

Franz Baader. Relating optimal repairs in ontology engineering with contraction operations in belief change. ACM SIGAPP Appl. Comput. Rev., (23)3:5--18, Association for Computing Machinery (ACM), September 2023.

Najdet Charaf, Julian Haase, Adrian Kulisch, Christian Von Elm, and Diana Göhringer. RTASS: A RunTime adaptable and scalable system for network-on-chip-based architectures. 2023 26th Euromicro Conference on Digital System Design (DSD), IEEE, September 2023.

Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barriere, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, and Matthias Hagen. Overview of touché 2023: Argument and causal retrieval. Lecture Notes in Computer Science, 527--535, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_lifescience]

Wolfgang Dvorák, Matthias König, Markus Ulbricht, and Stefan Woltran. Principles and their computational consequences for argumentation frameworks with collective attacks. J. Artif. Intell. Res., (79):69--136, AI Access Foundation, January 2024.

Bouchra Derraz, Gabriele Breda, Christoph Kaempf, Franziska Baenke, Fabienne Cotte, Kristin Reiche, Ulrike Köhl, Jakob Nikolas Kather, Deborah Eskenazy, and Stephen Gilbert. New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology. npj Precision Oncology, (8)1:23, January 2024. URL

Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Detecting Generated Native Ads in Conversational Search. Companion Proceedings of the ACM on Web Conference 2024, (5):722–725, ACM, May 2024. URL

Mersedeh Sadeghi, Daniel Pöttgen, Patrick Ebel, and Andreas Vogelsang. Explaining the Unexplainable: The Impact of Misleading Explanations on Trust in Unreliable Predictions for Hardly Assessable Tasks. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 36–46, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: XAI, explainability, learning, machine trust] URL