Zobrazeno 1 - 10
of 86 747
pro vyhledávání: '"A. Hammer"'
Publikováno v:
Brain and Spine, Vol 4, Iss , Pp 103020- (2024)
Externí odkaz:
https://doaj.org/article/3f08c8f0615f4c4b91d29bd42b6c2e68
We compute the neutron-neutron relative-energy distribution of the triton following the hard knockout of the proton in pionless effective field theory. This distribution can be used to study universality as well as to obtain information on the neutro
Externí odkaz:
http://arxiv.org/abs/2410.13789
Autor:
Strotherm, Janine, Hammer, Barbara
Publikováno v:
This work was first published in the proceedings of the 17th International Work-Conference on Artificial Neural Networks (IWANN) in volume 14134 of Lecture Notes in Computer Science, pages 119--133, by Springer Nature in 2023
As relevant examples such as the future criminal detection software [1] show, fairness of AI-based and social domain affecting decision support tools constitutes an important area of research. In this contribution, we investigate the applications of
Externí odkaz:
http://arxiv.org/abs/2410.13296
Autor:
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara
Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of climate change. So far, the majority of approaches is based on hydraulics
Externí odkaz:
http://arxiv.org/abs/2410.12461
Autor:
Störck, Felix, Hinder, Fabian, Brinkrolf, Johannes, Paassen, Benjamin, Vaquet, Valerie, Hammer, Barbara
Fairness is an important objective throughout society. From the distribution of limited goods such as education, over hiring and payment, to taxes, legislation, and jurisprudence. Due to the increasing importance of machine learning approaches in all
Externí odkaz:
http://arxiv.org/abs/2410.12452
Autor:
Muschalik, Maximilian, Baniecki, Hubert, Fumagalli, Fabian, Kolpaczki, Patrick, Hammer, Barbara, Hüllermeier, Eyke
Originally rooted in game theory, the Shapley Value (SV) has recently become an important tool in machine learning research. Perhaps most notably, it is used for feature attribution and data valuation in explainable artificial intelligence. Shapley I
Externí odkaz:
http://arxiv.org/abs/2410.01649
We investigate a system of bosons in a two-dimensional harmonic trap. In the limit of strong attractive interactions, the bosons make a droplet insensitive to external confinement. For weak interactions, in contrast, the ground state is given by the
Externí odkaz:
http://arxiv.org/abs/2410.00570
Autor:
Yang, Yanbin, Caffau, Elisabetta, Bonifacio, Piercarlo, Hammer, François, Wang, Jianling, Mamon, Gary A.
Dwarf spheroidal galaxies are known to be dominated by old stellar populations. This has led to the assumption that their gas-rich progenitors lost their gas during their infall in the Milky Way (MW) halo at distant look-back times. Here, we report a
Externí odkaz:
http://arxiv.org/abs/2409.15414
Autor:
Ellison, C. Leland, Garcia, Vincent, Gomez, Matthew, Grim, Gary P., Hammer, Jim H., Jennings, Christopher A., Knapp, Patrick, LeChien, Keith R., Meezan, Nathan, Peterson, Robert, Reyes, Adam, Steiner, Adam, Stygar, William A., Tzeferacos, Petros, Welch, Dale, Zylstra, Alex
Fusion is a potentially transformational energy technology, which promises limitless clean energy. Yet, it requires continued scientific and technological development to realize its potential. The conditions necessary for fusion energy gain in terms
Externí odkaz:
http://arxiv.org/abs/2408.15206
The National Vulnerability Database (NVD) is a major vulnerability database that is free to use for everyone. It provides information about vulnerabilities and further useful resources such as linked advisories and patches. The NVD is often considere
Externí odkaz:
http://arxiv.org/abs/2408.10695