Maja Schneider

According to our database, Maja Schneider authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

CoRR, 2023

Privacy in Practice: Private COVID-19 Detection in X-Ray Images.

Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm

Proceedings of the 20th International Conference on Security and Cryptography, 2023

XAI for Early Crop Classification.

Ayshah Chan, Maja Schneider, Marco Körner

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Tuning the Utility-Privacy Trade-Off in Trajectory Data.

Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, Lea Löffelmann

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Privacy in Practice: Private COVID-19 Detection in X-Ray Images.

Lucas Lange, Maja Schneider, Erhard Rahm

CoRR, 2022

Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data.

Maja Schneider, Christian Marchington, Marco Körner

CoRR, 2022

Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring.

Maja Schneider, Marco Körner

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories.

Maja Schneider, Lukas Gehrke, Peter Christen, Erhard Rahm

Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022

2021

EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification.

Maja Schneider, Amelie Broszeit, Marco Körner

CoRR, 2021