Publications

Suse Seidemann, Florian Salomon, Karl Hoffmann, Thomas Kurth, Ivo F Sbalzarini, Robert Haase, and Marius Ader. Automated Quantification of Photoreceptor Outer Segments in Developing and Degenerating Retinas on Microscopic Images across Scales. Investigative Ophthalmology & Visual Science, (65)7:5878--5878, The Association for Research in Vision and Ophthalmology, 2024. [PUMA: yaff]

Annika Reinke, Minu D Tizabi, Carole H Sudre, Matthias Eisenmann, Tim Rädsch, Michael Baumgartner, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, and others. Common limitations of image processing metrics: A picture story. arXiv preprint arXiv:2104.05642, 2021. [PUMA: yaff]

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

Lucrezia C Ferme, Allyson Q Ryan, Robert Haase, Carl D Modes, and Caren Norden. Timely neurogenesis enables increased nuclear packing order during neuronal lamination. bioRxiv, 2024--11, Cold Spring Harbor Laboratory, 2024. [PUMA: yaff]

Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, and Florian Jug. LABKIT: labeling and segmentation toolkit for big image data. Frontiers in computer science, (4):777728, Frontiers, 2022. [PUMA: 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, and others. Gut Analysis Toolbox--automating quantitative analysis of enteric neurons. Journal of Cell Science, (137)20The Company of Biologists, 2024. [PUMA: yaff]

Daria Alexander, Maik Fröbe, Ferdinand Schlatt, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, and Arjen Paul de Vries. Team OpenWebSearch at CLEF 2024: LongEval. Working Notes Papers of the CLEF 2024 Evaluation Labs, September 2024. [PUMA: topic_language yaff]

Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. The Information Retrieval Experiment Platform (Extended Abstract). In Kate Larson (Eds.), 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 8405--8410, International Joint Conferences on Artificial Intelligence Organization, August 2024. [PUMA: yaff] URL

Ringo Baumann, Matti Berthold, Dov M. Gabbay, and Odinaldo Rodrigues. Forgetting in Abstract Argumentation: Limits and Possibilities. Journal of Artificial Intelligence Research, (82)2025. [PUMA: abstract_argumentation argumentation forgetting topic_knowledge xack yaff] URL

Matti Berthold. On Syntactic Forgetting with relativized Strong Persistence. In Nina Gierasimczuk, and Jesse Heyninck (Eds.), Proceedings of the 22nd International Workshop on Nonmonotonic Reasoning (NMR 2024) co-located with 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), Hanoi, Vietnam, November 2-4, 2024, (3835):173--182, CEUR-WS.org, 2024. [PUMA: answer_set_programming forgetting logic_programming topic_knowledge xack yaff] URL

Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, and Josefine Umlauft. ml4xcube: Machine Learning Toolkits for Earth System Data Cubes. EarthArXiv, 2024. [PUMA: yaff]

Matti Wiegmann, Benno Stein, and Martin Potthast. De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study. In Lorraine Goeuriot, Philippe Mulhem, Georges Quénot, Didier Schwab, Giorgio Maria Di Nunzio, Laure Soulier, Petra Galuscakova, Alba García Seco de Herrera, Guglielmo Faggioli, and Nicola Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), (14958):172-178, Springer, Berlin Heidelberg New York, September 2024. [PUMA: yaff]

Arno Simons, Wolfgang Kircheis, Marion Schmidt, Martin Potthast, and Benno Stein. Who are the ``Heroes of CRISPR''? Public Science Communication on Wikipedia and the Challenge of Micro-Notability. Public Understanding of Science, (33)7:918--934, SAGE, October 2024. [PUMA: yaff]

Janek Bevendorff, Matti Wiegmann, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Efstathios Stamatatos, Martin Potthast, and Benno Stein. Overview of the ``Voight-Kampff'' Generative AI Authorship Verification Task at PAN and ELOQUENT 2024. In Guglielmo Faggioli, Nicola Ferro, Petra Galuscáková, and Alba García Seco de Herrera (Eds.), Working Notes of CLEF 2024 -- Conference and Labs of the Evaluation Forum, 2486-2506, CEUR-WS.org, September 2024. [PUMA: yaff] URL

Maik Fröbe, Daria Alexander, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, and Martin Potthast. Team OpenWebSearch at CLEF 2024: QuantumCLEF. Working Notes Papers of the CLEF 2024 Evaluation Labs, September 2024. [PUMA: yaff]

Lukas Gienapp, Niklas Deckers, Martin Potthast, and Harrisen Scells. Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins. CoRR, (abs/2407.21515)August 2024. [PUMA: xack yaff] URL

Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, and Matthias Hagen. Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Springer, Berlin Heidelberg New York, March 2024. [PUMA: yaff]

Timon Ziegenbein, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. Objective Argument Summarization in Search. In Philipp Cimiano, Anette Frank, Michael Kohlhase, and Benno Stein (Eds.), 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24), (14638):335--351, Springer, June 2024. [PUMA: yaff]

Michał Patryk Miazga, Daniel Abitz, Matthias Täschner, and Erhard Rahm. Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach. Datenbanksysteme für Business, Technologie und Web (BTW 2025), 331--354, Gesellschaft für Informatik, Bonn, 2025. [PUMA: topic_lifescience xack yaff]

David A. Selby, Maximilian Sprang, Jan Ewald, and Sebastian J. Vollmer. Beyond the black box with biologically informed neural networks. Nature Reviews Genetics, Mar 4, 2025. [PUMA: topic_lifescience yaff] URL