Michael C. Thrun

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Clustering Algorithm

Gaussian Mixture Modeling

Top Venues

Mach. Learn. Knowl. Extr.

Int. J. Data Sci. Anal.

Publications

Quirin Stier, Michael C. Thrun
Deriving Homogeneous Subsets from Gene Sets by Exploiting the Gene Ontology. Informatica 34 (2) (2023)
Michael C. Thrun, Julian Märte, Quirin Stier
Analyzing Quality Measurements for Dimensionality Reduction. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Michael C. Thrun
Exploiting Distance-Based Structures in Data Using an Explainable AI for Stock Picking. Inf. 13 (2) (2022)
Michael C. Thrun, Quirin Stier, Alfred Ultsch
Interactive Toolbox for Two-Dimensional Gaussian Mixture Modeling. ECML/PKDD (6) (2022)
Michael C. Thrun
Identification of Explainable Structures in Data with a Human-in-the-Loop. Künstliche Intell. 36 (3) (2022)
Michael C. Thrun
Knowledge-Based Identification of Homogenous Structures in Gene Sets. WorldCIST (1) (2022)
Michael C. Thrun, Alfred Ultsch
Swarm intelligence for self-organized clustering. Artif. Intell. 290 (2021)
Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert, Malte Von Bonin, Uta Oelschlägel, Cornelia Brendel, Michael C. Thrun
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data. CoRR (2021)
Michael C. Thrun, Alfred Ultsch
Swarm Intelligence for Self-Organized Clustering. CoRR (2021)
Michael C. Thrun, Alfred Ultsch
Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data. J. Classif. 38 (2) (2021)
Michael C. Thrun, Quirin Stier
Fundamental clustering algorithms suite. SoftwareX 13 (2021)
Michael C. Thrun, Felix Pape, Alfred Ultsch
Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). Int. J. Data Sci. Anal. 12 (3) (2021)
Michael C. Thrun
The Exploitation of Distance Distributions for Clustering. CoRR (2021)
Michael C. Thrun, Alfred Ultsch, Lutz Breuer
Explainable AI Framework for Multivariate Hydrochemical Time Series. Mach. Learn. Knowl. Extr. 3 (1) (2021)
Michael C. Thrun
The Exploitation of Distance Distributions for Clustering. Int. J. Comput. Intell. Appl. 20 (3) (2021)
Michael C. Thrun, Felix Pape, Alfred Ultsch
Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). Int. J. Data Sci. Anal. 12 (4) (2021)
Pedro A. López-García, Denisse L. Argote, Michael C. Thrun
Projection-Based Classification of Chemical Groups for Provenance Analysis of Archaeological Materials. IEEE Access 8 (2020)
Michael C. Thrun, Alfred Ultsch
Swarm-Based Cluster Analysis for Knowledge Discovery. KI (2020)
Michael C. Thrun
Improving the Sensitivity of Statistical Testing for Clusterability with Mirrored-Density Plots. MLVis@Eurographics/EuroVis (2020)
Michael C. Thrun, Alfred Ultsch
Swarm Intelligence for Self-Organized Clustering (Extended Abstract). IJCAI (2020)
Michael C. Thrun, Felix Pape, Alfred Ultsch
Interactive Machine Learning Tool for Clustering in Visual Analytics. DSAA (2020)
Michael C. Thrun
Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOM. ESANN (2019)
Michael C. Thrun, Tino Gehlert, Alfred Ultsch
Analyzing the Fine Structure of Distributions. CoRR (2019)
Alfred Ultsch, Michael C. Thrun
Credible visualizations for planar projections. WSOM (2017)