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