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Beiträge zu Sammelwerken
- Schütte, T.; Suhr, D.; Dworak, V.; Weltzien, C. (2025): UAS-based lane mapping for autonomous mobile robots in precision horticulture. In: 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. VDI Verlag, Düsseldorf, (0083-5560/978-3-18-092465-6), p. 133-140. 1.0
- Bykov, K.; Kopf, L.; Nakajima, S.; Kloft, M.; Höhne, M. (2024): Labeling Neural Representations with Inverse Recognition. In: NIPS 23: Proceedings of the 37th International Conference on Neural Information Processing Systems. NeurIPS 2023. Curran Associates Inc., Red Hook, NY, United States, (9781713899921), p. 24804-24828. Online: https://dl.acm.org/doi/10.5555/3666122.3667199 1.0
- Bykov, K.; Müller, K.; Höhne, M. (2024): Mark My Words: Dangers of Watermarked Images in ImageNet. In: Nowaczyk, S.; et al.(eds.): Artificial Intelligence. ECAI 2023 International Workshops. Proceedings, Part I. ECAI 2023 XI-ML Workshops. Springer, Cham, Switzerland, (1865-0929 / 978-3-031-50396-2), p. 426-434. Online: https://doi.org/10.1007/978-3-031-50396-2_24 1.0
- Dammer, K. (2024): In-canopy sensing below the crop surface for reducing pesticide use in agricultural fields. In: 30th Jubilee Scientific Conference Scientific, Technical and Organizational Progress in Agriculture (Proceedings). 30th Jubilee Scientific Conference Scientific, Technical and Organizational Progress in Agriculture. Wydawnictwo, (978-83-64377-59-4), p. 19-0. 1.0
- Hoffmann, T. (2024): Halmgutkonservierung. In: Frerichs, L.(eds.): Jahrbuch Agrartechnik 2023. . Braunschweig, p. 166-172. Online: https://doi.org/10.24355/dbbs.084-202401171517-0 1.0
- Hanike Basavegowda, D.; Höhne, M.; Weltzien, C. (2024): Deep Learning-based UAV-assisted grassland monitoring to facilitate Eco-scheme 5 realization. In: Hoffmann, C.; Stein, A.; Gallmann, E.; Dörr, J.; Krupitzer, C.; Floto, H.(eds.): Informatik in der Land-, Forst- und Ernährungswirtschaft. Focus: Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. 44. GIL-Jahrestagung - Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. Bonn, (1617-5468/978-3-88579-738-8), p. 197-202. Online: https://gil-net.de/wp-content/uploads/2024/02/GI_Proceedings_344-3.f-1.pdf 1.0
- Liu, S.; Hedström, A.; Hanike Basavegowda, D.; Weltzien, C.; Höhne, M. (2024): Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability. In: Hoffmann, C.; Stein, A.; Gallmann, E.; Dörr, J.; Krupitzer, C.; Floto, H.(eds.): Informatik in der Land-, Forst- und Ernährungswirtschaft. Focus: Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. 44. GIL-Jahrestagung - Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. Bonn, (1617-5468/978-3-88579-738-8), p. 143-154. Online: https://gil-net.de/wp-content/uploads/2024/02/GI_Proceedings_344-3.f-1.pdf 1.0
- Hedström, A.; Weber, L.; Lapuschkin, S.; Höhne, M. (2024): A Fresh Look at Sanity Checks for Saliency Maps. In: Longo, L.; Lapuschkin, S.; Seifert, C.(eds.): Explainable Artificial Intelligence, Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I. 2nd World Conference on eXplainable Artificial Intelligence (XAI-2024). Springer, Cham, Switzerland, (1865-0929/978-3-031-63786-5), p. 403-420. Online: https://doi.org/10.1007/978-3-031-63787-2_21 1.0
- Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: Advances in Neural Information Processing Systems 38 (NeurIPS 2024 Proceedings). The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024). p. 1-21. Online: https://arxiv.org/abs/2405.20331 1.0
- Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: Mechanistic Interpretability Workshop at ICML 2024. ICML Workshop on Mechanistic Interpretability. p. 1-21. Online: https://arxiv.org/abs/2405.20331 1.0