Zobrazeno 1 - 10
of 3 620
pro vyhledávání: '"Lindinger, A"'
Autor:
Menno T. Maris, Ayca Koçar, Dick L. Willems, Jeannette Pols, Hanno L. Tan, Georg L. Lindinger, Marieke A.R. Bak
Publikováno v:
BMC Medical Ethics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background The emergence of artificial intelligence (AI) in medicine has prompted the development of numerous ethical guidelines, while the involvement of patients in the creation of these documents lags behind. As part of the European PROFI
Externí odkaz:
https://doaj.org/article/4a93aae019934d44acdf5fbd570afbac
Autor:
Hannah Lindinger, Axel Wehrend
Publikováno v:
Veterinary World, Vol 16, Iss 12, Pp 2451-2456 (2023)
Background and Aim: In horse breeding, birth monitoring is an important factor in minimizing losses during parturition. Although different birth monitoring systems are available for this purpose, the current literature lacks systematic suitability an
Externí odkaz:
https://doaj.org/article/063d109b1c97406e8937bc3fd6a0814c
Autor:
Longi, Krista, Lindinger, Jakob, Duennbier, Olaf, Kandemir, Melih, Klami, Arto, Rakitsch, Barbara
Gaussian Process state-space models capture complex temporal dependencies in a principled manner by placing a Gaussian Process prior on the transition function. These models have a natural interpretation as discretized stochastic differential equatio
Externí odkaz:
http://arxiv.org/abs/2112.03230
Publikováno v:
Journal of Chemical Physics; 5/28/2024, Vol. 160 Issue 20, p1-11, 11p
Autor:
Lindinger, Hannah1 (AUTHOR) hannah.lindinger@gmx.net, Wehrend, Axel1 (AUTHOR)
Publikováno v:
Animals (2076-2615). Apr2024, Vol. 14 Issue 7, p1036. 16p.
Autor:
Menno T. Maris, Ayca Koçar, Dick L. Willems, Jeannette Pols, Hanno L. Tan, Georg L. Lindinger, Marieke A.R. Bak
Publikováno v:
BMC Medical Ethics, Vol 25, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/b32a52a79eea48ffa75431518f1fa32a
Autor:
Ferrada, Evandro, Wiedmer, Tabea, Wang, Wen-An, Frommelt, Fabian, Steurer, Barbara, Klimek, Christoph, Lindinger, Sabrina, Osthushenrich, Tanja, Garofoli, Andrea, Brocchetti, Silvia, Bradberry, Samuel, Huang, Jiahui, MacNamara, Aidan, Scarabottolo, Lia, Ecker, Gerhard F., Malarstig, Anders, Superti-Furga, Giulio
Publikováno v:
In Journal of Molecular Biology 15 January 2024 436(2)
Deep Gaussian Processes learn probabilistic data representations for supervised learning by cascading multiple Gaussian Processes. While this model family promises flexible predictive distributions, exact inference is not tractable. Approximate infer
Externí odkaz:
http://arxiv.org/abs/2005.11110
Autor:
Phillip Maiwald, Martina Bischoff, Peter Lindinger, Iris Tinsel, Matthias Sehlbrede, Urs Alexander Fichtner, Gloria Metzner, Christian Schlett, Erik Farin-Glattacker
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e47463 (2023)
BackgroundeHealth approaches show promising results for smoking cessation (SC). They can improve quit rates, but rigorous research is sparse regarding their effectiveness and the effects of their interactivity, tailoring, and use intensity. Objectiv
Externí odkaz:
https://doaj.org/article/fddcd75fea564c6184a9083629dc29d3
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