Zobrazeno 1 - 10
of 3 959
pro vyhledávání: '"Koeppel A"'
The paper discusses the legal requirements and implications of the processing of information and personal data for advertising purposes, particularly in the light of the "Planet49" decision of the European Court of Justice (ECJ) and the "Cookie Conse
Externí odkaz:
http://arxiv.org/abs/2407.03846
Fair Representation Learning (FRL) is a broad set of techniques, mostly based on neural networks, that seeks to learn new representations of data in which sensitive or undesired information has been removed. Methodologically, FRL was pioneered by Ric
Externí odkaz:
http://arxiv.org/abs/2407.03834
The individualization of learning contents based on digital technologies promises large individual and social benefits. However, it remains an open question how this individualization can be implemented. To tackle this question we conduct a randomize
Externí odkaz:
http://arxiv.org/abs/2407.03118
Autor:
Brittany S. Hollerbach, Nattinee Jitnarin, Maria D.H. Koeppel, Michelle Valenti, Shawn Beitel, Jaclyn M. Goodrich, Jefferey L. Burgess, Sara A. Jahnke
Publikováno v:
Safety and Health at Work, Vol 15, Iss 4, Pp 452-457 (2024)
Background: Firefighting is risky and impacts the mental and physical health of personnel. While most research focuses on men firefighters, recent work has highlighted mental health concerns among women including depression, anxiety, and post-traumat
Externí odkaz:
https://doaj.org/article/7ffa9af6c4c2426db182296b569e6cc5
Current digital computers are about to hit basic physical boundaries with respect to integration density, clock frequencies, and particularly energy consumption. This requires the application of new computing paradigms, such as quantum and analog com
Externí odkaz:
http://arxiv.org/abs/2309.05598
Autor:
Tagiew, Rustam, Köppel, Martin, Schwalbe, Karsten, Denzler, Patrick, Neumaier, Philipp, Klockau, Tobias, Boekhoff, Martin, Klasek, Pavel, Tilly, Roman
Publikováno v:
8th International Conference on Robotics and Automation Engineering (ICRAE), Singapore, Singapore, 2023, pp. 270-276
To achieve a driverless train operation on mainline railways, actual and potential obstacles for the train's driveway must be detected automatically by appropriate sensor systems. Machine learning algorithms have proven to be powerful tools for this
Externí odkaz:
http://arxiv.org/abs/2305.03001
Autor:
Köppel, Marius
The Mu3e experiment at the Paul Scherrer Institute (PSI) searches for the charged lepton flavour violating decay $\mu^+ \rightarrow e^+ e^+ e^-$. The experiment aims for an ultimate sensitivity of one in $10^{16}$ $\mu$ decays. The first phase of the
Externí odkaz:
http://arxiv.org/abs/2208.13508
Representation learning algorithms offer the opportunity to learn invariant representations of the input data with regard to nuisance factors. Many authors have leveraged such strategies to learn fair representations, i.e., vectors where information
Externí odkaz:
http://arxiv.org/abs/2208.02656
Autor:
Ari H. D. Koeppel, Christopher S. Edwards, Lauren A. Edgar, Scott Nowicki, Kristen A. Bennett, Amber Gullikson, Sylvain Piqueux, Helen Eifert, Daphne Chapline, A. Deanne Rogers
Publikováno v:
Earth and Space Science, Vol 11, Iss 9, Pp n/a-n/a (2024)
Abstract Surface thermal inertia derived from satellite imagery offers a valuable tool for remotely mapping the physical structure and water content of planetary regolith. Efforts to quantify thermal inertia using surface temperatures on Earth, howev
Externí odkaz:
https://doaj.org/article/c3b02af3e1984885bf0361c79fc6f53c
Autor:
Hollerbach, Brittany S., Jitnarin, Nattinee, Koeppel, Maria D.H., Valenti, Michelle, Beitel, Shawn, Goodrich, Jaclyn M., Burgess, Jefferey L., Jahnke, Sara A.
Publikováno v:
In Safety and Health at Work December 2024 15(4):452-457