Publications

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 Xack aspect networks sum-product]

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

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

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 Xack algorithms learning networks neural neurological plausible spiking]

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: classification computer deep hyperspectral image learning mathematical morphological morphology networks neuronal nopdf remote sensing vision] URL

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: Clustering Zno networks phylogenetic systems] URL

Christoph Flamm, Stefan Müller, and Peter F. Stadler. Every atom-atom map can be explained by electron pushing diagrams. arXiv, 2023. [PUMA: (math.CO), (q-bio.MN), 05C92, 92E10 Biological Combinatorics FOS: Mathematics, Molecular Networks sciences, yaff] 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), from:scadsfct (math.CO), FOS: 92E10 Molecular Mathematics, Combinatorics] 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: Transcriptomic Zno activation anti-inflammatory aryl expression gene hydrocarbon induction interferon macrophages murine networks profile receptor signaling signatures through] URL

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 Neural Predicting data gross low primary production weather]