Zobrazeno 1 - 10
of 3 121
pro vyhledávání: '"Nonnenmacher, A."'
Autor:
Harris, Joshua, Laurence, Timothy, Loman, Leo, Grayson, Fan, Nonnenmacher, Toby, Long, Harry, WalsGriffith, Loes, Douglas, Amy, Fountain, Holly, Georgiou, Stelios, Hardstaff, Jo, Hopkins, Kathryn, Chi, Y-Ling, Kuyumdzhieva, Galena, Larkin, Lesley, Collins, Samuel, Mohammed, Hamish, Finnie, Thomas, Hounsome, Luke, Riley, Steven
Advances in Large Language Models (LLMs) have led to significant interest in their potential to support human experts across a range of domains, including public health. In this work we present automated evaluations of LLMs for public health tasks in
Externí odkaz:
http://arxiv.org/abs/2405.14766
Autor:
Nonnenmacher, Marcel, Sahani, Maneesh
The von Mises-Fisher distribution as an exponential family can be expressed in terms of either its natural or its mean parameters. Unfortunately, however, the normalization function for the distribution in terms of its mean parameters is not availabl
Externí odkaz:
http://arxiv.org/abs/2404.07358
The rising energy prices in Europe and the urgent need to address global warming have sparked a significant increase in the installation of domestic photovoltaic systems to harness solar energy. However, since solar energy is available only during da
Externí odkaz:
http://arxiv.org/abs/2310.09323
Autor:
Christiane Dings, Dominik Selzer, Nicola Luigi Bragazzi, Eva Möhler, Markus Wenning, Thomas Gehrke, Ulf Richter, Alexandra Nonnenmacher, Folke Brinkmann, Tobias Rothoeft, Michael Zemlin, Thomas Lücke, Thorsten Lehr
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 4, Pp 1250-1264 (2024)
With the emergence of SARS-CoV-2, various non-pharmaceutical interventions were adopted to control virus transmission, including school closures. Subsequently, the introduction of vaccines mitigated not only disease severity but also the spread of SA
Externí odkaz:
https://doaj.org/article/4c02962be7804aeb9a3f6848ba16b0a3
Autor:
Sherif A. Mohamed, Alina Barlemann, Verena Steinle, Tobias Nonnenmacher, Michelle Güttlein, Thilo Hackert, Martin Loos, Matthias M. Gaida, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The prognosis of pancreatic cancer (PDAC) after tumor resection remains poor, mostly due to a high but variable risk of recurrence. A promising tool for improved prognostication is the quantification of CT tumor enhancement. For this, variou
Externí odkaz:
https://doaj.org/article/8f2942f4b3f1414d9e5ec0202b37c287
Autor:
Ralf Floca, Jonas Bohn, Christian Haux, Benedikt Wiestler, Frank G. Zöllner, Annika Reinke, Jakob Weiß, Marco Nolden, Steffen Albert, Thorsten Persigehl, Tobias Norajitra, Bettina Baeßler, Marc Dewey, Rickmer Braren, Martin Büchert, Eva Maria Fallenberg, Norbert Galldiks, Annika Gerken, Michael Götz, Horst K. Hahn, Johannes Haubold, Tobias Haueise, Nils Große Hokamp, Michael Ingrisch, Andra-Iza Iuga, Marco Janoschke, Matthias Jung, Lena Sophie Kiefer, Philipp Lohmann, Jürgen Machann, Jan Hendrik Moltz, Johanna Nattenmüller, Tobias Nonnenmacher, Benedict Oerther, Ahmed E. Othman, Felix Peisen, Fritz Schick, Lale Umutlu, Barbara D. Wichtmann, Wenzhao Zhao, Svenja Caspers, Heinz-Peter Schlemmer, Christopher L. Schlett, Klaus Maier-Hein, Fabian Bamberg
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinic
Externí odkaz:
https://doaj.org/article/6a8906e841ea488ea5abe79eaf2c5fc3
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162:16969-16989, 2022
We present an approach that incorporates expert knowledge for time-series representation learning. Our method employs expert features to replace the commonly used data transformations in previous contrastive learning approaches. We do this since time
Externí odkaz:
http://arxiv.org/abs/2206.11517
Autor:
Victor Seabra Lima Prado Costa, Davi Feliciano Nonnenmacher, Wesley Berger Fernandes, Daiana Cristine Bündchen, Francielly Andressa Felipetti
Publikováno v:
Em Extensão, Vol 22, Iss 2, Pp 1-12 (2023)
Este estudo buscou avaliar os benefícios que a música pode promover à saúde dos integrantes do Grupo Staccato, por meio de um questionário em escala Likert. Os participantes receberam um questionário anônimo em escala Likert sobre como avaliam
Externí odkaz:
https://doaj.org/article/070d9be9ea6f4531b71645d4468521cb
Autor:
Alban Piotrowsky, Markus Burkard, Katharina Hammerschmidt, Hannah K. Ruple, Pia Nonnenmacher, Monika Schumacher, Christian Leischner, Susanne Berchtold, Luigi Marongiu, Thomas A. Kufer, Ulrich M. Lauer, Olga Renner, Sascha Venturelli
Publikováno v:
Antioxidants, Vol 13, Iss 9, p 1095 (2024)
Several studies have demonstrated, both in vitro and in animal models, the anti-tumor efficacy of high-dose ascorbate treatment against a variety of tumor entities, including glioblastoma, the most common and aggressive primary malignant brain tumor.
Externí odkaz:
https://doaj.org/article/0e0ee2440fab426a82a3784ac1036db3
Autor:
Dings, Christiane, Selzer, Dominik, Bragazzi, Nicola Luigi, Möhler, Eva, Wenning, Markus, Gehrke, Thomas, Richter, Ulf, Nonnenmacher, Alexandra, Brinkmann, Folke, Rothoeft, Tobias, Zemlin, Michael, Lücke, Thomas, Lehr, Thorsten
Publikováno v:
In Infectious Disease Modelling December 2024 9(4):1250-1264