Zobrazeno 1 - 10
of 70 563
pro vyhledávání: '"Rieger"'
Autor:
Grothe Oliver, Rieger Jonas
Publikováno v:
Dependence Modeling, Vol 12, Iss 1, Pp 30-47 (2024)
We analyze optimal low-rank approximations and correspondence analysis of the dependence structure given by arbitrary bivariate checkerboard copulas. Methodologically, we make use of the truncation of singular value decompositions of doubly stochasti
Externí odkaz:
https://doaj.org/article/d86785501fdb46d2a87c81bb9089b73a
Autor:
Richter, Hannah, Herrmann, Anja, Piontkowski, Emily, Joos, Stefanie, Häske, David, Rieger, Monika A.
Publikováno v:
GMS Journal for Medical Education, Vol 41, Iss 4, p Doc37 (2024)
Objectives: As part of the further development of an existing training program on scientific skills for health services research at the University Hospital Tübingen, the aim of the study is to determine the level of knowledge, utilization and needs
Externí odkaz:
https://doaj.org/article/e51107544087411a956fc7e0f2b37da4
Publikováno v:
Orthopedic Research and Reviews, Vol Volume 16, Pp 43-57 (2024)
Volker Fuchs,1 Bernhard Rieger2– 4 1Department of Orthopedics, AMEOS Hospital of Halberstadt, Halberstadt, Germany; 2Department of Neurosurgery, AMEOS Hospital of Halberstadt, Halberstadt, Germany; 3Department of Neurosurgery, Technical University
Externí odkaz:
https://doaj.org/article/e89ce085e972495289e7062d6cae264f
Digital Education: AI A.4:1 Introduction 2 Developing a pedagogically meaningful AI-based learning assistant: Bridging the gap between technology and education 3 Outcomes and achievements of the VISION project 4 Outlook on the impact of AI-based lear
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A93589
https://tud.qucosa.de/api/qucosa%3A93589/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A93589/attachment/ATT-0/
Autor:
Bergmann, Christine, Büttner, Katja, Connelly-Burscheid, Andrea, Huttenlocher, M., Kühne, A., Rieger, V., Tatura, C.
Die Förderung des psychischen Wohlbefindens am Arbeitsplatz nimmt angesichts der Digitalisierung, des zunehmenden Zeit- und Leistungsdrucks sowie der Entgrenzung der Arbeit und Freizeit eine immer bedeutendere Rolle ein. Denn die Beeinträchtigung d
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/63104
Autor:
Dahm Stephan F., Rieger Martina
Publikováno v:
Open Psychology, Vol 4, Iss 1, Pp 115-131 (2022)
Based on internal predictions, action-errors can be detected relatively early. Different kinds of sensory feedback further provide information about the occurrence of errors later on. To investigate the mechanisms underlying error detection in copy-t
Externí odkaz:
https://doaj.org/article/4ee1ef22dbf44710806539380c5aea30
Autor:
Rieger Marcel
Publikováno v:
EPJ Web of Conferences, Vol 295, p 05012 (2024)
In particle physics, workflow management systems are primarily used as tailored solutions in dedicated areas such as Monte Carlo production. However, physicists performing data analyses are usually required to steer their individual, complex workflow
Externí odkaz:
https://doaj.org/article/2e3817e69d0f465cb9e2e9f338ca84c6
Autor:
Rieger Jana
Publikováno v:
EPJ Web of Conferences, Vol 291, p 05005 (2024)
Abstract. Hyperons are a unique probe to study the non-perturbative aspects of the strong interaction. At HADES, they are produced in proton or pion induced reactions at kinetic energies up to 4.5 GeV. Already in the past, HADES has shown its potenti
Externí odkaz:
https://doaj.org/article/fbe3ef11a28d4d06a48fddcb4eba7263
Autor:
Rieger, N. E.
We analyze the Misner space, incorporating Kip Thorne's "moving wall" model, and pseudo-Schwarzschild spacetime, exploring their geometric structures, geodesics, and causal properties. We propose that pseudo-Schwarzschild spacetime serves as a non-fl
Externí odkaz:
http://arxiv.org/abs/2501.00841
Few-shot learning and parameter-efficient fine-tuning (PEFT) are crucial to overcome the challenges of data scarcity and ever growing language model sizes. This applies in particular to specialized scientific domains, where researchers might lack exp
Externí odkaz:
http://arxiv.org/abs/2412.04975