Publications

Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, and Norbert Siegmund. Exploring hyperparameter usage and tuning in machine learning research. 2023 IEEE/ACM 2nd International Conference on AI Engineering -- Software Engineering for AI (CAIN), IEEE, May 2023. [PUMA: topic_software topic_language]

Alina Mailach, and Norbert Siegmund. Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 690--702, IEEE, May 2023. [PUMA: topic_software Economics;Biological learning;Software modeling;Pipelines;Production;Manuals;Machine system systems]

Universität Leipzig, Benjamin Uhrich, Shirin Lange, Universität Leipzig, Miriam Louise Carnot, Universität Leipzig, Martin Schäfer, and SIEMENS AG Berlin. Predictive Manufacturing -- Ein Intelligentes Überwachungssystem zur Erkennung von Anomalien im 3D-Druck. Ind. 4 0 Manag., (2023)1:27--31, GITO mbH Verlag, February 2023. [PUMA: topic_physchemistry topic_lifescience]

Leonie Lampe, Hans-Jürgen Huppertz, Sarah Anderl-Straub, Franziska Albrecht, Tommaso Ballarini, Sandrine Bisenius, Karsten Mueller, Sebastian Niehaus, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Johannes Kornhuber, Martin Lauer, Johannes Prudlo, Anja Schneider, Matthis Synofzik, Jan Kassubek, Adrian Danek, Arno Villringer, Janine Diehl-Schmid, Markus Otto, Matthias L Schroeter, and FTLD Consortium Germany. Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging. NeuroImage Clin., (37)103320:103320, Elsevier BV, January 2023. [PUMA: topic_neuroinspired Dementia; Diagnosis; MRI; Machine Neurodegeneration; Volumetry learning; topic_lifescience unit_test]

Markus Frey, Christian F Doeller, and Caswell Barry. Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks. arXiv, 2023. [PUMA: topic_neuroinspired]

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, and David Kappel. Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. arXiv, 2022. [PUMA: topic_neuroinspired]

Marie Steinacker, Yuri Kheifetz, and Markus Scholz. Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach. Heliyon, (9)7:e17890, Elsevier BV, July 2023. [PUMA: topic_neuroinspired topic_mathfoundation Haematopoiesis; Precision Recurrent System Transfer identification; learning medicine; networks; neural unit_transfer]

Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, and Serena Yeung. Hyperbolic deep learning in computer vision: A survey. arXiv, 2023. [PUMA: topic_mathfoundation topic_lifescience]

Interdisciplinary Center for Bioinformatics & Leipzig University, Leipzig, Germany, Marcos E Gonzalez Laffitte, Nora Beier, Nico Domschke, and Peter F Stadler. Comparison of atom maps. Match (Mulh.), (90)1:75--102, University Library in Kragujevac, 2023. [PUMA: topic_mathfoundation topic_lifescience]

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: topic_lifescience Molecular Networks Omics Systems analysis; biology integration; interaction map;]