Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Theresa Ullmann"'
Autor:
Theresa Ullmann, Georg Heinze, Lorena Hafermann, Christine Schilhart-Wallisch, Daniela Dunkler, for TG2 of the STRATOS initiative
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308543 (2024)
Researchers often perform data-driven variable selection when modeling the associations between an outcome and multiple independent variables in regression analysis. Variable selection may improve the interpretability, parsimony and/or predictive acc
Externí odkaz:
https://doaj.org/article/669b6b02a63e4172801891781b56dc04
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010820 (2023)
In recent years, unsupervised analysis of microbiome data, such as microbial network analysis and clustering, has increased in popularity. Many new statistical and computational methods have been proposed for these tasks. This multiplicity of analysi
Externí odkaz:
https://doaj.org/article/71e68bf1a3304669b4dab07b57c290ef
Publikováno v:
Biometrical Journal.
The constant development of new data analysis methods in many fields of research is accompanied by an increasing awareness that these new methods often perform better in their introductory paper than in subsequent comparison studies conducted by othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3edc39d753b1ebdac38c5e521c5dd0a
https://doi.org/10.1002/bimj.202200238
https://doi.org/10.1002/bimj.202200238
Publikováno v:
Advances in Data Analysis and Classification. 17:211-238
When researchers publish new cluster algorithms, they usually demonstrate the strengths of their novel approaches by comparing the algorithms’ performance with existing competitors. However, such studies are likely to be optimistically biased towar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f5971582013a272ecec74aff4c8aad2
https://doi.org/10.1007/s11634-022-00496-5
https://doi.org/10.1007/s11634-022-00496-5
Autor:
Theresa Ullmann, Stefanie Peschel, Philipp Finger, Christian L. Müller, Anne-Laure Boulesteix
In recent years, unsupervised analysis of microbiome data, such as microbial network analysis and clustering, has increased in popularity. Many new statistical and computational methods have been proposed for these tasks. This multiplicity of analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b92a175bb522fda9b79832f7f17fa0
https://doi.org/10.1101/2022.06.24.497500
https://doi.org/10.1101/2022.06.24.497500
Cluster analysis refers to a wide range of data analytic techniques for class discovery and is popular in many application fields. To judge the quality of a clustering result, different cluster validation procedures have been proposed in the literatu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1495598c60a4f0c8c4603b5857899a74
https://hdl.handle.net/11585/900658
https://hdl.handle.net/11585/900658
Petra von Gemünden hat in ihrer theologischen Arbeit wichtige Wegmarken für die Erforschung und Beschreibung von Emotionen in der neutestamentlichen Wissenschaft gesetzt. Die Artikel in dieser Festschrift führen ihre wichtigen Impulse weiter und w
Autor:
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne‐Laure Boulesteix, Difan Deng, Marius Lindauer
Most machine learning algorithms are configured by one or several hyperparameters that must be carefully chosen and often considerably impact performance. To avoid a time consuming and unreproducible manual trial-and-error process to find well-perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dc0677e6991d01be9c332c81a916b16
Autor:
Daniel Buschek, Theresa Ullmann, Clemens Stachl, Sarah Theres Völkel, Markus Bühner, Samuel D. Gosling, Gabriella M. Harari, Bernd Bischl, Heinrich Hussmann, Tobias Schuwerk, Quay Au, Michelle Oldemeier, Ramona Schoedel
Publikováno v:
Proc Natl Acad Sci U S A
Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length away, these sensor-rich devices can easily be repurposed to collect rich and extensive records of their users' behaviors (e.g., location, communication, media co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ffd7632e514397ba5ff7562e6bb937
http://www.alexandria.unisg.ch/264542/
http://www.alexandria.unisg.ch/264542/
Autor:
Miriam König, Theresa Ullmann, Belén Pastor-Villaescusa, Robert Dalla-Pozza, Sarah Bohlig, Arno Schmidt-Trucksäss, Joseph Pattathu, Nikolaus A. Haas, André Jakob
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 5; Pages: 1177
Background: Kawasaki Disease (KD) is a generalized vasculitis in childhood with possible long-term impact on cardiovascular health besides the presence of coronary artery lesions. Standard vascular parameters such as carotid intima–media thickness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d37ed426222bdd653aa835b0e8bfb00c
https://doi.org/10.3390/jcm11051177
https://doi.org/10.3390/jcm11051177