Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Clemens Rosenbaum"'
Autor:
Karolina Ławkowska, Clemens Rosenbaum, Piotr Petrasz, Luis Kluth, Krzysztof Koper, Tomasz Drewa, Marta Pokrywczynska, Jan Adamowicz, the Trauma and Reconstructive Urology Working Party of the European Association of Urology Young Academic Urologists
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2023)
Advanced techniques of reconstructive urology are gradually reaching their limits in terms of their ability to restore urinary tract function and patients’ quality of life. A tissue engineering-based approach to urinary tract reconstruction, utiliz
Externí odkaz:
https://doaj.org/article/ae203ebcc66447d786868e4cd4dd0071
Publikováno v:
Journal of Urology. 207
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c3dfb5df7cb978cb6baf4698c08016
https://doi.org/10.1097/ju.0000000000002521.17
https://doi.org/10.1097/ju.0000000000002521.17
Autor:
Ralf Böthig, Clemens Rosenbaum, Holger Böhme, Birgitt Kowald, Kai Fiebag, Roland Thietje, Wolfgang Schöps, Thura Kadhum, Klaus Golka
Publikováno v:
World journal of urology. 40(8)
Radical cystectomy in people with spinal cord injury (SCI) provides numerous additional difficulties, compared to able-bodied people. Therefore, it is important to obtain information from an experienced team about optimally managing these patients.Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ede5b4cb56578a5789d1121c8b3430
https://pubmed.ncbi.nlm.nih.gov/35092468
https://pubmed.ncbi.nlm.nih.gov/35092468
Publikováno v:
AAAI
The options framework is a popular approach for building temporally extended actions in reinforcement learning. In particular, the option-critic architecture provides general purpose policy gradient theorems for learning actions from scratch that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71cac7fee29cca8e6dbb372ec4a9512a
Autor:
Olivia Li, Atticus Geiger, Alex Tamkin, Clemens Rosenbaum, Sandhini Agarwal, Matthew Riemer, Tim Klinger, Lauri Karttunen, Ignacio Cases, Christopher Potts, Dan Jurafsky, Joshua D. Greene
Publikováno v:
NAACL-HLT (1)
We introduce Recursive Routing Networks (RRNs), which are modular, adaptable models that learn effectively in diverse environments. RRNs consist of a set of functions, typically organized into a grid, and a meta-learner decision-making component call
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af9c9a0bd1c85c45c0be3bb4ad98b1d
https://doi.org/10.18653/v1/n19-1365
https://doi.org/10.18653/v1/n19-1365