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Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements.

, , , , , and . IEEE Big Data, page 2700-2704. IEEE, (2023)

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The Hubness Phenomenon: Fact or Artifact?, , , and . Towards Advanced Data Analysis by Combining Soft Computing and Statistics, volume 285 of Studies in Fuzziness and Soft Computing, Springer Berlin Heidelberg, (2013)Computational Intelligence Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, , , , , and . Computational Intelligence Springer Vieweg, Wiesbaden, 2 edition, (2015)From data and information analysis to knowledge engineering - proceedings of the 29th annual conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9 - 11, 2005 ; with 120 tables, , , , and . Studies in classification, data analysis, and knowledge organization Berlin u.a., (2006)From Data and Information Analysis to Knowledge Engineering - Proc. of the 29th Annual Conf. of the Gesellschaft für Klassifikation, , , , and . Springer-Verlag, Berlin, (2006)Initializing k-means Clustering., and . DATA, page 260-267. SciTePress, (2020)Gradient Ascent for Best Response Regression., and . IDA, volume 12695 of Lecture Notes in Computer Science, page 141-154. Springer, (2021)GenDR: A Generalized Differentiable Renderer., , , and . CVPR, page 3992-4001. IEEE, (2022)Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements., , , , , and . IEEE Big Data, page 2700-2704. IEEE, (2023)Deep Differentiable Logic Gate Networks., , , and . NeurIPS, (2022)Support Computation for Mining Frequent Subgraphs in a Single Graph., and . MLG, (2007)