83 citations · 157 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data
Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert +4
Typical state of the art flow cytometry data samples consists of measures of more than 100.000 cells in 10 or more features. AI systems are able to diagnose such data with almost t…
cs.NE2021★ 83 cited
Swarm Intelligence for Self-Organized Clustering
Michael C. Thrun, Alfred Ultsch
Algorithms implementing populations of agents which interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intellig…
stat.AP2019★ 71 cited
Analyzing the Fine Structure of Distributions
Michael C. Thrun, Tino Gehlert, Alfred Ultsch
One aim of data mining is the identification of interesting structures in data. For better analytical results, the basic properties of an empirical distribution, such as skewness a…