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pro vyhledávání: '"Nick Heilenkötter"'
Autor:
Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Publikováno v:
Journal of Imaging, Vol 7, Iss 4, p 71 (2021)
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist’s clinical routine. In this work, we successfully develop a deep learning method to assist the dermatopathologists by marking critical regions that have
Externí odkaz:
https://doaj.org/article/4ce6abaf685c4ae9b692fe1cc3c512f4
Autor:
Florian Euchner, Henning Wachsmuth, Martin Potthast, Matthias Hagen, Nick Heilenkötter, Lukas Gienapp, Nico Weidmann, Benno Stein
Publikováno v:
SIGIR
We report on the first user study on assessing argument relevance. Based on a search among more than 300,000 arguments, four standard retrieval models are compared on 40 topics for 20 controversial issues: every issue has one topic with a biased stan