Zobrazeno 1 - 10
of 5 007
pro vyhledávání: '"Loening"'
Autor:
Swidsinski, Alexander, Amann, Rudolf, Guschin, Alexander, Swidsinski, Sonja, Loening-Baucke, Vera, Mendling, Werner, Sobel, Jack D., Lamont, Ronald F., Vaneechoutte, Mario, Baptista, Pedro Vieira, Bradshaw, Catriona S., Kogan, Igor Yu, Savicheva, Аlevtina M., Mitrokhin, Oleg V., Swidsinski, Nadezhda W., Sukhikh, Gennadiy T., Priputnevich, Tatjana V., Apolikhina, Inna A., Dörffel, Yvonne
Publikováno v:
In Microbes and Infection November-December 2024 26(8)
Autor:
Duan, Heying, Moradi, Farshad, Davidzon, Guido A, Liang, Tie, Song, Hong, Loening, Andreas M, Vasanawala, Shreyas, Srinivas, Sandy, Brooks, James D, Hancock, Steven, Iagaru, Andrei *
Publikováno v:
In The Lancet Oncology April 2024 25(4):501-508
Autor:
Madeleine Löning
Die Frage nach Identität ist in französischsprachigen Literaturen und Filmen aus dem Maghreb ein zentrales Thema. Aufgrund ihres Entstehungskontextes, der von der Kolonialisierung durch Frankreich geprägt ist, hinterfragen sie oftmals essentialist
Machine learning (ML) and AI toolboxes such as scikit-learn or Weka are workhorses of contemporary data scientific practice -- their central role being enabled by usable yet powerful designs that allow to easily specify, train and validate complex mo
Externí odkaz:
http://arxiv.org/abs/2101.04938
Autor:
Löning, Markus, Király, Franz
We present a new open-source framework for forecasting in Python. Our framework forms part of sktime, a more general machine learning toolbox for time series with scikit-learn compatible interfaces for different learning tasks. Our new framework prov
Externí odkaz:
http://arxiv.org/abs/2005.08067
Akademický článek
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Autor:
Schmidt-Pokrzywniak Andrea, Loening Thomas, Decker Thomas, Boecker Werner, Hauptmann Steffen, Taege Christiane, Holzhausen Hans-Juergen, Heinig Anke, Trocchi Pietro, Kluttig Alexander, Thomssen Christoph, Lantzsch Tilmann, Buchmann Joerg, Stang Andreas
Publikováno v:
BMC Cancer, Vol 7, Iss 1, p 100 (2007)
Abstract Background The planned nationwide implementation of mammography screening 2007 in Germany will increase the occurrence of mammographically detected breast abnormalities. These abnormalities are normally evaluated by minimal invasive core bio
Externí odkaz:
https://doaj.org/article/29472f69238244849f3716380be29d26
Publikováno v:
BMC Urology, Vol 6, Iss 1, p 19 (2006)
Abstract Background Matrix metalloproteinases (MMPs) and their inhibitors (TIMPs) play a major role in the maintenance of extracellular matrix homeostasis and are involved in the process of tumour invasion and metastasis in several malignant tumour e
Externí odkaz:
https://doaj.org/article/a30a1d6add8a46659af347fca6988743
Autor:
Eminaga, Okyaz, Tolkach, Yuri, Kunder, Christian, Abbas, Mahmood, Han, Ryan, Nolley, Rosalie, Semjonow, Axel, Boegemann, Martin, Huss, Sebastian, Loening, Andreas, West, Robert, Sonn, Geoffrey, Fan, Richard, Bettendorf, Olaf, Brook, James, Rubin, Daniel
The current study detects different morphologies related to prostate pathology using deep learning models; these models were evaluated on 2,121 hematoxylin and eosin (H&E) stain histology images captured using bright field microscopy, which spanned a
Externí odkaz:
http://arxiv.org/abs/1910.04918
Autor:
Löning, Markus, Bagnall, Anthony, Ganesh, Sajaysurya, Kazakov, Viktor, Lines, Jason, Király, Franz J.
We present sktime -- a new scikit-learn compatible Python library with a unified interface for machine learning with time series. Time series data gives rise to various distinct but closely related learning tasks, such as forecasting and time series
Externí odkaz:
http://arxiv.org/abs/1909.07872