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Beiträge zu Sammelwerken
- Wickstrøm, K.; Höhne, M.; Hedström, A. (2024): From Flexibility to Manipulation. The Slippery Slope of XAI Evaluation. In: Explainable Computer Vision: Where are We and Where are We Going?. eXCV Workshop at ECCV 2024. p. 1-19. Online: https://excv-workshop.github.io/publication/from-flexibility-to-manipulation-the-slippery-slope-of-xai-evaluation/paper.pdf 1.0
- Bareeva, D.; Ümit Yolcu, G.; Hedström, A.; Schmolenski, N.; Wiegand, T.; Samek, W.; Lapuschkin, S. (2024): Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. In: . NeurIPS ATTRIB 2024 workshop. p. 1-16. Online: https://arxiv.org/abs/2410.07158 1.0
- Tapia Zapata, N.; Zude-Sasse, M. (2024): Modelling fruit surface temperature by means of LiDAR 4D point clouds. In: II International Symposium on Precision Management of Orchards and Vineyards. II International Symposium on Precision Management of Orchards and Vineyards. ISHS, p. 431-438. Online: https://doi.org/10.17660/ActaHortic.2024.1395.57 1.0
- Bareeva, D.; Höhne, M.; Warnecke, A.; Pirch, L.; Müller, K.; Rieck, K.; Bykov, K. (2024): Manipulating Feature Visualizations with Gradient Slingshots. In: Mechanistic Interpretability Workshop at ICML 2024. ICML 2024 - International Conference on Machine Learning. p. 1-18. Online: https://doi.org/10.48550/arXiv.2401.06122 1.0
- Yu, X.; Franzen, J.; Samek, W.; Höhne, M.; Kainmueller, D. (2024): Model guidance via explanations turns image classifiers into segmentation models. In: Longo, L.; Lapuschkin, S.; Seifert, C.(eds.): Explainable Artificial Intelligence, Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II. 2nd World Conference on eXplainable Artificial Intelligence (XAI-2024). Springer, Cham, Switzerland, (1865-0929/978-3-031-63796-4), p. 113-129. Online: https://doi.org/10.1007/978-3-031-63797-1_7 1.0
- Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2024): Development of a digital monitoring system for fire blight in fruit orchards. In: Flachowsky, H.; Sedlák, J.; Peil, A.(eds.): XVI EUCARPIA Symposium on Fruit Breeding and Genetics. 16th Eucarpia Symposium on Fruit Breeding and Genetics. ISHS, Dresden-Pillnitz, (0567-7572, 2406-6168/978-94-62614-11-6), p. 403-409. Online: https://www.actahort.org/books/1412/1412_60.htm 1.0
- Reim, S.; Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2024): UAV-based digital phenotyping of European pear rust in genetic resources. In: Flachowsky, H.; Sedlák, J.; Peil, A.(eds.): XVI EUCARPIA Symposium on Fruit Breeding and Genetics. 16th Eucarpia Symposium on Fruit Breeding and Genetics. ISHS, Dresden-Pillnitz, (0567-7572, 2406-6168/978-94-62614-11-6), p. 399-402. Online: https://www.actahort.org/books/1412/1412_59.htm 1.0
- Herrmann, C.; Kreidenweis, U.; Okiobe, S.; Prochnow, A.; Reiter, D.; Schulz, K.; Schuster-Hankel, S.; Theuerl, S.; Winkler, S.; Berg, W. (2024): Emissionsminderung bei der Gülle- und Gärrest- lagerung durch Zusatz von Kalkstickstoff. In: Deutsche Agrarforschungsallianz (DAFA)(eds.): Agrarforschung zum Klimawandel. Agrarforschung zum Klimawandel. DAFA, Braunschweig, p. 196-197. Online: https://literatur.thuenen.de/digbib_extern/dn067911.pdf 1.0
- Liu, S.; Babor, M.; Munyendo, L.; Hitzmann, B.; Sturm, B.; Höhne, M. (2024): Advancements in coffee authenticity: A spectroscopic feature compression approach using eXplainable AI and vision transformer. In: Katsoulas, N.(eds.): AgEng 2024 Proceedings Book. AgEng 2024 International Conference of EurAgEng. Hellenic Society of Agricultural Engineers, Athens, Greece, (978-618-82194-1-0), p. 436-442. Online: https://convin.gr/assets/files/misc/AgEng2024_Proceedings_ISBN.pdf 1.0
- Zare, M.; Pflanz, M.; Schirrmann, M. (2023): Introducing a smart monitoring system (PHLIP) for integrated pest management in commercial orchards. In: Yousaf, A.(eds.): Proceedings der 2022 International Conference on Engineering and Emerging Technologies (ICEET). 8th International Conference on Engineering and Emerging Technologies (ICEET 2022). IEEE Conference Operations, Piscataway, (2831-3682/978-1-6654-9106-8), p. 1-4. Online: https://doi.org/10.1109/ICEET56468.2022.10007399 1.0