Beiträge zu Sammelwerken
- Kapica, J.; Höfner, N.; Shokrian Zeini, M.; Drozd, P. (2024): The Structure From Motion algorithm - a vital part of Agriculture 4.0. In: Lorencowicz, E.; Uziak, J.; Huyghebaert, B.(eds.): Farm machinery and processes management in sustainable agriculture. Book fo abstracts. XII International Scientific Symposium Farm machinery and processes management in sustainable agriculture. Reprographic Centre, University of Life Science, Lublin, (978-83-937433-3-9), p. 40-0. 1.0
- 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