Zobrazeno 1 - 10
of 1 459
pro vyhledávání: '"Diepold A"'
Autonomous and intelligent systems (AIS) facilitate a wide range of beneficial applications across a variety of different domains. However, technical characteristics such as unpredictability and lack of transparency, as well as potential unintended c
Externí odkaz:
http://arxiv.org/abs/2404.13719
Reinforcement learning algorithms need exploration to learn. However, unsupervised exploration prevents the deployment of such algorithms on safety-critical tasks and limits real-world deployment. In this paper, we propose a new algorithm called Ense
Externí odkaz:
http://arxiv.org/abs/2402.04182
Autor:
Röhrl, Stefan, Groll, Johannes, Lengl, Manuel, Schumann, Simon, Klenk, Christian, Heim, Dominik, Knopp, Martin, Hayden, Oliver, Diepold, Klaus
Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of labeling and the associated lower contrast, can classify cells with h
Externí odkaz:
http://arxiv.org/abs/2311.14485
Autor:
Chiara Lebon, Sebastian Grossmann, Greg Mann, Florian Lindner, Akiko Koide, Shohei Koide, Andreas Diepold, Oliver Hantschel
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-22 (2024)
Abstract Background The inability of biologics to pass the plasma membrane prevents their development as therapeutics for intracellular targets. To address the lack of methods for cytosolic protein delivery, we used the type III secretion system (T3S
Externí odkaz:
https://doaj.org/article/055f4ef3608b4ed18bbc2d25a0454144
Autor:
The CREMA Collaboration, Schuhmann, Karsten, Fernandes, Luis M. P., Nez, François, Ahmed, Marwan Abdou, Amaro, Fernando D., Amaro, Pedro, Biraben, François, Chen, Tzu-Ling, Covita, Daniel S., Dax, Andreas J., Diepold, Marc, Franke, Beatrice, Galtier, Sandrine, Gouvea, Andrea L., Götzfried, Johannes, Graf, Thomas, Hänsch, Theodor W., Hildebrandt, Malte, Indelicato, Paul, Julien, Lucile, Kirch, Klaus, Knecht, Andreas, Kottmann, Franz, Krauth, Julian J., Liu, Yi-Wei, Machado, Jorge, Monteiro, Cristina M. B., Mulhauser, Françoise, Naar, Boris, Nebel, Tobias, Santos, Joaquim M. F. dos, Santos, José Paulo, Szabo, Csilla I., Taqqu, David, Veloso, João F. C. A., Voss, Andreas, Weichelt, Birgit, Antognini, Aldo, Pohl, Randolf
Hydrogen-like light muonic ions, in which one negative muon replaces all the electrons, are extremely sensitive probes of nuclear structure, because the large muon mass increases tremendously the wave function overlap with the nucleus. Using pulsed l
Externí odkaz:
http://arxiv.org/abs/2305.11679
The paucity of labeled data is a typical challenge in the automotive industry. Annotating time-series measurements requires solid domain knowledge and in-depth exploratory data analysis, which implies a high labeling effort. Conventional Active Learn
Externí odkaz:
http://arxiv.org/abs/2209.14199
Autor:
Röhrl, Stefan, Hein, Alice, Huang, Lucie, Heim, Dominik, Klenk, Christian, Lengl, Manuel, Knopp, Martin, Hafez, Nawal, Hayden, Oliver, Diepold, Klaus
The quality of datasets plays a crucial role in the successful training and deployment of deep learning models. Especially in the medical field, where system performance may impact the health of patients, clean datasets are a safety requirement for r
Externí odkaz:
http://arxiv.org/abs/2208.08834
Autor:
Sara Jakob, Wieland Steinchen, Juri Hanßmann, Julia Rosum, Katja Langenfeld, Manuel Osorio-Valeriano, Niklas Steube, Pietro I. Giammarinaro, Georg K. A. Hochberg, Timo Glatter, Gert Bange, Andreas Diepold, Martin Thanbichler
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract The transcriptional antisilencer VirB acts as a master regulator of virulence gene expression in the human pathogen Shigella flexneri. It binds DNA sequences (virS) upstream of VirB-dependent promoters and counteracts their silencing by the
Externí odkaz:
https://doaj.org/article/75a5883061da42348f288a593723fe33
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
In this work, we propose a data-driven approach to optimize the parameters of a simulation such that control policies can be directly transferred from simulation to a real-world quadrotor. Our neural network-based policies take only onboard sensor da
Externí odkaz:
http://arxiv.org/abs/2201.01369
Autor:
Sabine Farschtschi, Manuel Lengl, Stefan Röhrl, Christian Klenk, Oliver Hayden, Klaus Diepold, Michael W. Pfaffl
Publikováno v:
Animals, Vol 14, Iss 21, p 3156 (2024)
For several years, the determination of a differential cell count of a raw milk sample has been proposed as a more accurate tool for monitoring the udder health of dairy cows compared with using the absolute somatic cell count. However, the required
Externí odkaz:
https://doaj.org/article/efb7933b8e4242e0ae2923ace8487f2e