Publications

Maria Carolina Novitasari, Johannes Quaas, and Miguel R. D. Rodrigues. Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning. Environmental Data Science, (3)Cambridge University Press (CUP), 2024. [PUMA: autoconversion forecasting learning machine rates satellite yaff] URL

Bouchra Derraz, Gabriele Breda, Christoph Kaempf, Franziska Baenke, Fabienne Cotte, Kristin Reiche, Ulrike Köhl, Jakob Nikolas Kather, Deborah Eskenazy, and Stephen Gilbert. New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology. npj Precision Oncology, (8)1Springer Science and Business Media LLC, January 2024. [PUMA: AI-based Yaff cell drug oncology precision regulatory therapies thinking] URL

Michael Rade, Markus Kreuz, Angelika Borkowetz, Ulrich Sommer, Conny Blumert, Susanne Füssel, Catharina Bertram, Dennis Löffler, Dominik J. Otto, Livia A. Wöller, Carolin Schimmelpfennig, Ulrike Köhl, Ann-Cathrin Gottschling, Pia Hönscheid, Gustavo B. Baretton, Manfred Wirth, Christian Thomas, Friedemann Horn, and Kristin Reiche. A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer. Molecular Medicine, (30)1Springer Science and Business Media LLC, February 2024. [PUMA: Yaff applicable biopsies cancer formalin-fixed paraffin-embedded predictionprostate risk-score transcriptomic] URL

Markus Bauer, and Christoph Augenstein. Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Comparative Computer Data Learning Self-Supervised Study Unlabelled Vision yaff] URL

Peter Pennitz, Holger Kirsten, Vincent D. Friedrich, Emanuel Wyler, Cengiz Goekeri, Benedikt Obermayer, Gitta A. Heinz, Mir-Farzin Mashreghi, Maren Büttner, Jakob Trimpert, Markus Landthaler, Norbert Suttorp, Andreas C. Hocke, Stefan Hippenstiel, Mario Tönnies, Markus Scholz, Wolfgang M. Kuebler, Martin Witzenrath, Katja Hoenzke, and Geraldine Nouailles. A pulmonologist’s guide to perform and analyse cross-species single lung cell transcriptomics. European Respiratory Review, (31)165:220056, European Respiratory Society (ERS), July 2022. [PUMA: imported yaff] URL

Veeti Ahvonen, Damian Heiman, Antti Kuusisto, and Carsten Lutz. Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats. 2024. [PUMA: imported yaff] URL

Carsten Lutz, and Lukas Schulze. Description Logics with Abstraction and Refinement: From ALC to EL. Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning, 542–552, International Joint Conferences on Artificial Intelligence Organization, November 2024. [PUMA: imported yaff] URL

O Kayacan, and M Middendorf. The effect of lookahead on phase transition in migration of three species with cyclic predator–prey relations. Journal of Statistical Mechanics: Theory and Experiment, (2024)2:023212, IOP Publishing, February 2024. [PUMA: imported xack yaff] URL

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, and Olaf Wolkenhauer. ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern Recognition, (147):110138, 2024. [PUMA: yaff] URL

Sebastian Simon, Alina Mailach, Johannes Dorn, and Norbert Siegmund. A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation. 2024. [PUMA: topic_software yaff] URL

Alina Mailach, Sebastian Simon, Johannes Dorn, and Norbert Siegmund. Practitioners' Discussions on Building LLM-based Applications for Production. 2024. [PUMA: topic_software xack yaff] URL

Alina Mailach, Dominik Gorgosch, Norbert Siegmund, and Janet Siegmund. ``Ok Pal, we have to code that now'': interaction patterns of programming beginners with a conversational chatbot. Empirical Software Engineering, (30)1:34, Nov 30, 2024. [PUMA: topic_software xack yaff] URL

Alina Mailach, and Norbert Siegmund. Socio-Technical Challenges and Recommendations for Mitigation when Building ML-Enabled Systems. Software Engineering 2024 (SE 2024), 87--88, Gesellschaft für Informatik e.V., Bonn, 2024. [PUMA: topic_software yaff]

Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Robert Haase, and others. Metrics reloaded: recommendations for image analysis validation. Nature methods, (21)2:195--212, Nature Publishing Group US New York, 2024. [PUMA: topic_lifescience yaff]

Luke Sorensen, Adam Humenick, Sabrina SB Poon, Myat Noe Han, Narges S Mahdavian, Matthew C Rowe, Ryan Hamnett, Estibaliz Gómez-de Mariscal, Peter H Neckel, Ayame Saito, Robert Haase, and others. Gut Analysis Toolbox--automating quantitative analysis of enteric neurons. Journal of Cell Science, (137)20The Company of Biologists, 2024. [PUMA: topic_lifescience yaff]

Sandra Hummel, Thomas Köhler, Natasa Brouwer-Zupancic, Rudolf Egger, and Michael Rieger. Empowering Students with AI-based Chatbot Assistants. 2023. [PUMA: imported yaff]

David Montero, César Aybar, Miguel D Mahecha, Francesco Martinuzzi, Maximilian Söchting, and Sebastian Wieneke. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Scientific Data, (10)1:1--20, Nature Publishing Group, 2023. [PUMA: imported yaff]

Philipp Wintersberger, Andrii Matviienko, Yu Wang, Patrick Ebel, Ammar Al-Taie, Stephen Brewster, Florian Michahelles, and Arjan Stuiver. BikeSimWS: Workshop on Simulators, Scenarios, and Test Standard for Bicycle Research. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 552--555, 2023. [PUMA: imported yaff]

K Stoll, M von Braun, D Kürsten, F Welle, M Wawrzyniak, A Groos, J Klingbeil, A Stockert, D P O Kaiser, E Kellner, M Reisert, K Hoffmann, G Scheuermann, C Gillmann, and D Saur. Prediction of functional therapeutic response to thrombectomy in acute stroke using neural networks. Clin. Neurophysiol., (159):e5, Elsevier BV, March 2024. [PUMA: imported yaff]

Shuzhou Yuan, and Michael Färber. GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. In Kevin Duh, Helena Gomez, and Steven Bethard (Eds.), Findings of the Association for Computational Linguistics: NAACL 2024, 920--933, Association for Computational Linguistics, Mexico City, Mexico, June 2024. [PUMA: imported yaff] URL