Publications

Johannes Kiesel, Fabienne Hubricht, Benno Stein, and Martin Potthast. A Dataset for Content Error Detection in Web Archives. In Maria Bonn, Stephen J. Downie, Alain Martaus, and Dan Wu (Eds.), 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019), 349--350, ACM, June 2019. [PUMA: Archives Content Dataset Detection Error Web Zno]

Eva Zangerle, Michael Tschuggnall, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Style Change Detection Task at PAN 2019. In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller (Eds.), Working Notes Papers of the CLEF 2019 Evaluation Labs, (2380)September 2019. [PUMA: 2019 Change Detection Overview PAN Style Task Zno] URL

Maksim Kukushkin, Matthias Enders, Reinhard Kaschuba, Martin Bogdan, and Thomas Schmid. Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 1645--1652, Gesellschaft für Informatik e.V., Bonn, 2023. [PUMA: Agricultural Anomaly Autoencoder Detection Production Seed Zno]