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Beiträge zu Sammelwerken
- Anastasiou, E.; Papantonatou, M.; Reimand, K.; Niedermayr, A.; Kantelhardt, J.; Gabriel, A.; Schwierz, F.; Meyer-Aurich, A.; Fountas, S. (2025): Spraying drones for vineyards from the perspective of agroecology: Results from the D4AgEcol workshop in Greece. In: . 14th Panhellenic Conference of Agricultural Engineering. p. 156-164. 1.0
- Bareeva, D.; Höhne, M.; Warnecke, A.; Pirch, L.; Müller, K.; Rieck, K.; Lapuschkin, S.; Bykov, K. (2025): Manipulating Feature Visualizations with Gradient Slingshots. In: Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS 2025. p. 1-38. Online: https://openreview.net/pdf/c7e275543fb73c523928b41f35e776058b9f5b26.pdf 1.0
- Matavel, C.; Meyer-Aurich, A. (2025): Data-driven nitrogen management: Leveraging historical data and machine learning for economic optima. Lecture Notes in Informatics (LNI). In: Informatik in der Land-, Forst- und Ernährungswirtschaft. 45. GIL-Jahrestagung - Informatik in der Land-, Forst- und Ernährungswirtschaft. Bonn, (1617-5468 (Online)), p. 323-328. Online: https://gil-net.de/Publikationen/GIL25_Proceedings_final_01.pdf 1.0
- Fumagalli, F.; Muschalik, M.; Hüllermeier, E.; Hammer, B.; Herbinger, J. (2025): Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. In: Li, Y.; Mandt, S.; Khan, E.(eds.): Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS). AISTATS 2025. PMLR, (2640-3498), p. 1-42. Online: https://proceedings.mlr.press/v258/fumagalli25a.html 1.0
- (2025): Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. In: Proceedings of the AAAI Conference on Artificial Intelligence. 39th AAAI Conference on Artificial Intelligence (AAAI-25). Washington, DC 20004, USA, (2374-3468/1-57735-897-X), p. 27258-27267. Online: https://doi.org/10.1609/aaai.v39i26.34935 1.0
- Genzel, M.; Putzky, P.; Zhao, P.; Schulze, S.; Mollenhauer, M.; Seidel, R.; Dietzel, S.; Wollmann, T. (2025): Compressing Large Language Models to Any Size Without Re-Computation. In: Proceedings of the Workshop on Efficient Systems for Foundation Models (ES-FoMo) at the 42 nd International Conference on Machine Learning (2025), Vancouver, Canada. Efficient Systems for Foundation Models Workshop at the International Conference on Machine Learning (ICML) 2025. p. 1-23. Online: https://icml.cc/virtual/2025/51788 1.0
- Zude-Sasse, M. (2025): Fusion von Sensordaten im Gartenbau. In: Frerichs, L.(eds.): Jahrbuch Agrartechnik 2024. . Braunschweig, p. 1-6. Online: https://leopard.tu-braunschweig.de/receive/dbbs_mods_00078431 1.0
- Murtagh, B.; Slezak, F.; Baranyai, L.; Allegro, G.; Filippetti, I.; Morandi, B.; Boini, A.; Manfrini, L.; Bortolotti, G.; Zude-Sasse, M. (2025): Mobile app for analysing the heat damage risk in grape and apple fruit. In: Manfrini, L.; Biegert, K.; Matache, M.(eds.): EHC2024: International Symposium on Robotics, Mechanization and Smart Horticulture. EHC2024 International Symposium on Robotics, Mechanization and Smart Horticulture. Bukarest, (0567-7572/2406-6168/978-94-62614-32-1), p. 183-188. Online: https://doi.org/10.17660/ActaHortic.2025.1433.23 1.0
- Aradwad, P.; Ramakrishnan, D.; Rauh, C.; Abdelfattah, A.; Sturm, B. (2025): Storage-Driven Microbial and Quality Changes in Brewer’s Spent Grain. In: 7th Plants and People Conference - Abstract Booklet. 7th Plants and People Conference (P&P25). p. 35-35. Online: https://plants-and-people.mpg.de/sites/default/files/filemanagement/2025/program/Abstract%20Booklet_20250907.pdf 1.0
- Vogel, S. (2025): Sensor-Based Soil Property Mapping for Site-Specific Liming (pH-BB). In: Bullová, T.(eds.): Healthy Soil as the Foundation of Change Book of Practices, Innovations and Solutions. International Conference on Regenerative Agriculture and Agroforestry. Nitra, (978-80-975166-1-1), p. 7-0. Online: https://soil-x-change.eu/content/files/2025/11/05/a9e7bfc67c97de5b3399c957165deeb2.pdf 1.0