EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification. - Maja Schneider; Amelie Broszeit; Marco Körner 001 (CoRR, 2021)

D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. - Maja Schneider; Lukas Gehrke; Peter Christen; Erhard Rahm (GI-Jahrestagung, 2022)

Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring. - Maja Schneider; Marco Körner 001 (IGARSS, 2022)

Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data. - Maja Schneider; Christian Marchington; Marco Körner 001 (CoRR, 2022)

Privacy in Practice: Private COVID-19 Detection in X-Ray Images. - Lucas Lange; Maja Schneider; Erhard Rahm (CoRR, 2022)

Tuning the Utility-Privacy Trade-Off in Trajectory Data. - Maja Schneider; Peter Christen; Erhard Rahm; Jonathan Schneider; Lea Löffelmann (EDBT, 2023)

XAI for Early Crop Classification. - Ayshah Chan; Maja Schneider; Marco Körner 001 (IGARSS, 2023)

Privacy in Practice: Private COVID-19 Detection in X-Ray Images. - Lucas Lange; Maja Schneider; Peter Christen; Erhard Rahm (SECRYPT, 2023)

EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union. - Maja Schneider; Tobias Schelte; Felix Schmitz; Marco Körner 001 (CoRR, 2023)

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data. - Valentin Barrière; Martin Claverie; Maja Schneider; Guido Lemoine; Raphaël d'Andrimont (CoRR, 2023)

Distributed, Privacy-Aware Location Data Aggregation. - Maja Schneider; Erik Buchmann; Erhard Rahm (TPS-ISA, 2024)