Zobrazeno 1 - 10
of 6 218
pro vyhledávání: '"A. A. Roscher"'
Crop yield forecasting plays a significant role in addressing growing concerns about food security and guiding decision-making for policymakers and farmers. When deep learning is employed, understanding the learning and decision-making processes of t
Externí odkaz:
http://arxiv.org/abs/2407.08274
Autor:
Sinhamahapatra, Poulami, Schwaiger, Franziska, Bose, Shirsha, Wang, Huiyu, Roscher, Karsten, Guennemann, Stephan
Detecting and localising unknown or Out-of-distribution (OOD) objects in any scene can be a challenging task in vision. Particularly, in safety-critical cases involving autonomous systems like automated vehicles or trains. Supervised anomaly segmenta
Externí odkaz:
http://arxiv.org/abs/2404.07664
Publikováno v:
Proceedings of the AAAI-make Spring Symposium, 2024
Generative AI is increasingly important in software engineering, including safety engineering, where its use ensures that software does not cause harm to people. This also leads to high quality requirements for generative AI. Therefore, the simplisti
Externí odkaz:
http://arxiv.org/abs/2404.15317
Autor:
Sinhamahapatra, Poulami, Shit, Suprosanna, Sekuboyina, Anjany, Husseini, Malek, Schinz, David, Lenhart, Nicolas, Menze, Joern, Kirschke, Jan, Roscher, Karsten, Guennemann, Stephan
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Vertebral fracture grading classifies the severity of vertebral fractures, which is a challenging task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few works attempted to make such models human-interpretable despite
Externí odkaz:
http://arxiv.org/abs/2404.02830
Autor:
Drees, Lukas, Demie, Dereje T., Paul, Madhuri R., Leonhardt, Johannes, Seidel, Sabine J., Döring, Thomas F., Roscher, Ribana
Image-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time, which allows an early and location-specific estimation of relevant future plant traits, such as leaf area or bioma
Externí odkaz:
http://arxiv.org/abs/2312.03443
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, 2024
Protected natural areas are regions that have been minimally affected by human activities such as urbanization, agriculture, and other human interventions. To better understand and map the naturalness of these areas, machine learning models can be us
Externí odkaz:
http://arxiv.org/abs/2311.08936
Natural protected areas are vital for biodiversity, climate change mitigation, and supporting ecological processes. Despite their significance, comprehensive mapping is hindered by a lack of understanding of their characteristics and a missing land c
Externí odkaz:
http://arxiv.org/abs/2311.08923
Autor:
Nico Eisenhauer, Kevin Mueller, Anne Ebeling, Gerd Gleixner, Yuanyuan Huang, Anna-Maria Madaj, Christiane Roscher, Alexandra Weigelt, Michael Bahn, Michael Bonkowski, Ulrich Brose, Simone Cesarz, Hannes Feilhauer, Claudia Guimaraes-Steinicke, Anna Heintz-Buschart, Jes Hines, Markus Lange, Sebastian T. Meyer, Neha Mohanbabu, Liesje Mommer, Sigrid Neuhauser, Yvonne Oelmann, Soroor Rahmanian, Takehiro Sasaki, Stefan Scheu, Holger Schielzeth, Bernhard Schmid, Michael Schloter, Stefanie Schulz, Sybille B. Unsicker, Cordula Vogel, Wolfgang W. Weisser, Forest Isbell
Publikováno v:
Basic and Applied Ecology, Vol 79, Iss , Pp 153-166 (2024)
Long-term research in grassland biodiversity experiments has provided empirical evidence that ecological and evolutionary processes are intertwined in determining both biodiversity–ecosystem functioning (BEF) and biodiversity–stability relationsh
Externí odkaz:
https://doaj.org/article/bf20f3b77fd84b04b06e0932300f0ef0
The ability to detect learned objects regardless of their appearance is crucial for autonomous systems in real-world applications. Especially for detecting humans, which is often a fundamental task in safety-critical applications, it is vital to prev
Externí odkaz:
http://arxiv.org/abs/2307.04533
Autor:
Kierdorf, Jana, Roscher, Ribana
Cauliflower is a hand-harvested crop that must fulfill high-quality standards in sales making the timing of harvest important. However, accurately determining harvest-readiness can be challenging due to the cauliflower head being covered by its canop
Externí odkaz:
http://arxiv.org/abs/2305.15149