Publications

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]

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Neural Predicting data gross low primary production weather zno]