Publications

Nora Grieb, Lukas Schmierer, Hyeon Ung Kim, Sarah Strobel, Christian Schulz, Tim Meschke, Anne Sophie Kubasch, Annamaria Brioli, Uwe Platzbecker, Thomas Neumuth, Maximilian Merz, and Alexander Oeser. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health, (5)Frontiers Media SA, December 2023. [PUMA: twin clinical decision multiple myeloma evidence-based support treatment digital] URL

Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, and Johannes P. Wallner. ADF - BDD : An ADF Solver Based on Binary Decision Diagrams. In Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, and Hiroyuki Kido (Eds.), Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), (220146):355–356, IOS Press, Amsterdam u. a., Netherlands, Sep 1, 2022. [PUMA: FIS_scads dialectical diagrams, decision topic_knowledge binary rust-lang abstract frameworks,]

Marzan Tasnim Oyshi, Danny Schober, Juliette-Michelle Burkhardt, Verena Maleska, Tillmann Auguszt, Linus Langhans, Richard Karl Fuchs, and Stefan Gumhold. ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making. In Soumya Dutta, Kathrin Feige, Karsten Rink, and Baldwin Nsonga (Eds.), Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2024. [PUMA: Extreme Visualizing Events Making Weather Multi-City ExtremeWeatherVis Decision Virtual Reality topic_visualcomputing]

Sascha Marton, Stefan Lüdtke, Christian Bartelt, and Heiner Stuckenschmidt. GradTree: Learning axis-aligned decision trees with gradient descent. 2023. [PUMA: descent axis-aligned Learning GradTree decision gradient trees]

Johannes Gerritzen, Andreas Hornig, and Maik Gude. Graph based process models as basis for efficient data driven surrogates - Expediting the material development process. engrXiv : engineering archive, Open Engineering Inc., Nov 16, 2024. [PUMA: FIS_scads making modeling, decision Surrogate Data development, Process topic_engineering driven]

Adrian Lindenmeyer, Malte Blattmann, Stefan Franke, Thomas Neumuth, and Daniel Schneider. Inadequacy of common stochastic neural networks for reliable clinical decision support. 2024. [PUMA: reliable clinical decision neural Inadequacy stochastic support networks] URL

Jens Przybilla, Peter Ahnert, Holger Bogatsch, Frank Bloos, Frank M Brunkhorst, SepNet Critical Care Trials Group, Progress Study Group, Michael Bauer, Markus Loeffler, Martin Witzenrath, Norbert Suttorp, and Markus Scholz. Markov state modelling of disease courses and mortality risks of patients with community-acquired pneumonia. J. Clin. Med., (9)2:393, MDPI AG, February 2020. [PUMA: Markov medical decision pneumonia; score; making; SOFA continuous-time stochastic model; model sepsis; community-acquired prognosis;]

Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, and Steffen Oeltze-Jafra. Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Med., (104)101842:101842, Elsevier BV, April 2020. [PUMA: Therapy decision modules; Decision neck delay; Arden and logic system; Medical model syntax; oncology; support Head]