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pro vyhledávání: '"Besold AN"'
This paper introduces a post-hoc explainable AI method tailored for Knowledge Graph Embedding models. These models are essential to Knowledge Graph Completion yet criticized for their opaque, black-box nature. Despite their significant success in cap
Externí odkaz:
http://arxiv.org/abs/2406.01759
Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI. For example, while models are often studied in isolati
Externí odkaz:
http://arxiv.org/abs/2311.09994
Autor:
Sandra Pohl, Tobias Akamp, Martyna Smeda, Stefan Uderhardt, David Besold, Gabriel Krastl, Kerstin M. Galler, Wolfgang Buchalla, Matthias Widbiller
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
The pulp is a unique tissue within each tooth that is susceptible to painful inflammation, known as pulpitis, triggered by microbial invasion from carious lesions or trauma that affect many individuals. The host response involves complex immunologica
Externí odkaz:
https://doaj.org/article/07a8cdf18bbb405bac27a2c7b6e7523c
Autor:
Besold, Franz, Spokoiny, Vladimir
Due to the technological progress of the last decades, Community Detection has become a major topic in machine learning. However, there is still a huge gap between practical and theoretical results, as theoretically optimal procedures often lack a fe
Externí odkaz:
http://arxiv.org/abs/2208.11994
Autor:
Grosse, Kathrin, Bieringer, Lukas, Besold, Tarek Richard, Biggio, Battista, Krombholz, Katharina
Despite the large body of academic work on machine learning security, little is known about the occurrence of attacks on machine learning systems in the wild. In this paper, we report on a quantitative study with 139 industrial practitioners. We anal
Externí odkaz:
http://arxiv.org/abs/2207.05164
Publikováno v:
In Annales de chirurgie plastique esthétique November 2024 69(6):496-507
Autor:
Husain, Mohd Amir, Besold, Johannes, Gustafsson, Jon Petter, Scheinost, Andreas C., Planer-Friedrich, Britta, Biswas, Ashis
Publikováno v:
In Journal of Hazardous Materials 15 January 2025 482
Autor:
Selina Albrecht, Fabian Grässli, Alexia Cusini, Angela Brucher, Stephan Goppel, Elsbeth Betschon, J. Carsten Möller, Manuela Ortner, Markus Ruetti, Reto Stocker, Danielle Vuichard-Gysin, Ulrike Besold, Lorenz Risch, Matthias von Kietzell, Matthias Schlegel, Pietro Vernazza, Stefan P. Kuster, Christian R. Kahlert, Philipp Kohler
Publikováno v:
Swiss Medical Weekly, Vol 154, Iss 4 (2024)
AIMS OF THE STUDY: We aimed to assess the extent of SARS-CoV-2 humoral immunity elicited by previous infections and/or vaccination among healthcare workers, and to identify reasons why healthcare workers decided against vaccination. METHODS: This n
Externí odkaz:
https://doaj.org/article/0900caec80934fcba389bb443f8ded8f
After a surge in popularity of supervised Deep Learning, the desire to reduce the dependence on curated, labelled data sets and to leverage the vast quantities of unlabelled data available recently triggered renewed interest in unsupervised learning
Externí odkaz:
http://arxiv.org/abs/2009.08497
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