Publications

Victor Jüttner, Martin Grimmer, and Erik Buchmann. ChatIDS: Explainable Cybersecurity Using Generative AI. 2023. [PUMA: Intrusion Networks ChatGPT Detection Yaff]

Marc Hellmuth, David Schaller, and Peter F. Stadler. Clustering systems of phylogenetic networks. Theory in Biosciences, (142)4:301–358, Springer Science and Business Media LLC, August 2023. [PUMA: systems Clustering phylogenetic Zno networks] URL

Christoph Flamm, Stefan Müller, and Peter F. Stadler. Every atom-atom map can be explained by electron pushing diagrams. arXiv, 2023. [PUMA: Networks 05C92, Biological sciences, (q-bio.MN), (math.CO), FOS: 92E10 Molecular Mathematics, Combinatorics yaff] URL

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

Martin Bogdan. Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? - A thought-provoking impulse. XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja), 201--207, Servizo de Publicacións da UDC, September 2022. [PUMA: Learning neural algorithms spiking Xack learning plausible networks neurological]

Julia Scheel, Matti Hoch, Markus Wolfien, and Shailendra Gupta. NaviCenta - The disease map for placental research. Placenta, (143):12--15, Elsevier BV, November 2023. [PUMA: Networks biology Molecular integration; Omics topic_lifescience analysis; Systems interaction map;]

Peter Winkler, Norman Koch, Andreas Hornig, and Johannes Gerritzen. OmniOpt – A tool for hyperparameter optimization on HPC. In Heike Jagode, Hartwig Anzt, Hatem Ltaief, and Piotr Luszczek (Eds.), High Performance Computing - ISC High Performance Digital 2021 International Workshops, 2021, Revised Selected Papers, 285--296, Springer, Berlin u. a., Germany, Nov 13, 2021. [PUMA: FIS_scads computing, High optimization, Hyperparameter performance networks Neural]

Maksim Kukushkin, Martin Bogdan, and Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Eds.), Sixteenth International Conference on Machine Vision (ICMV 2023), (13072):1307202, SPIE, 2024. [PUMA: image sensing morphological morphology deep neuronal learning networks classification remote mathematical computer hyperspectral vision] URL

Stefan Lüdtke, Christian Bartelt, and Heiner Stuckenschmidt. Outlying aspect mining via sum-product networks. Advances in Knowledge Discovery and Data Mining, 27--38, Springer Nature Switzerland, Cham, 2023. [PUMA: Outlying aspect Xack networks sum-product]

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Predicting low gross production data primary Neural weather]

Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, and Stefan Gumhold. Robust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks. Sensors, (24)42024. [PUMA: Networks Noisy Density Invertible Magnetic Reconstruction Flux Fraction Void topic_visualcomputing Neural] URL

Chengjin Xu, Fenglong Su, and Jens Lehmann. Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. 2022. [PUMA: Entity Networks Graph Alignment Time-aware Temporal Graphs Yaff Knowledge Neural] URL

Timo P. Gros, David Groß, Stefan Gumhold, Jörg Hoffmann, Michaela Klauck, and Marcel Steinmetz. TraceVis: Towards Visualization for Deep Statistical Model Checking. Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends: 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part IV, 27–46, Springer-Verlag, Berlin, Heidelberg, 2020. [PUMA: Networks Visualization Model Statistical Checking Neural] URL

Johannes R. Schmidt, Janine Haupt, Sina Riemschneider, Christoph Kämpf, Dennis Löffler, Conny Blumert, Kristin Reiche, Ulrike Koehl, Stefan Kalkhof, and Jörg Lehmann. Transcriptomic signatures reveal a shift towards an anti-inflammatory gene expression profile but also the induction of type I and type II interferon signaling networks through aryl hydrocarbon receptor activation in murine macrophages. Frontiers in Immunology, (14)Frontiers Media SA, May 2023. [PUMA: signaling through gene profile expression hydrocarbon networks aryl interferon signatures induction murine receptor anti-inflammatory Zno macrophages Transcriptomic activation] URL