Michael C. Thrun

28 papers A* 1B 2Misc 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE.
R J.
Michael C. Thrun, Julian Märte
2025 J jnl
Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes.
Mach. Learn. Knowl. Extr.
Quirin Stier, Jörg Hoffmann, Michael C. Thrun
2025 J jnl
Memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE.
CoRR
Michael C. Thrun, Julian Märte
2023 J jnl
Analyzing Quality Measurements for Dimensionality Reduction.
Mach. Learn. Knowl. Extr.
Michael C. Thrun, Julian Märte, Quirin Stier
2023 J jnl
Deriving Homogeneous Subsets from Gene Sets by Exploiting the Gene Ontology.
Informatica
Quirin Stier, Michael C. Thrun
2022 J jnl
Exploiting Distance-Based Structures in Data Using an Explainable AI for Stock Picking.
Inf.
Michael C. Thrun
2022 J jnl
Identification of Explainable Structures in Data with a Human-in-the-Loop.
Künstliche Intell.
Michael C. Thrun
2022 — conf
Interactive Toolbox for Two-Dimensional Gaussian Mixture Modeling.
ECML/PKDD (6)
Michael C. Thrun, Quirin Stier, Alfred Ultsch
2022 — conf
Knowledge-Based Identification of Homogenous Structures in Gene Sets.
WorldCIST (1)
Michael C. Thrun
2021 J jnl
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data.
CoRR
Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert, Malte Von Bonin, Uta Oelschlägel, Cornelia Brendel, Michael C. Thrun
2021 J jnl
Conventional displays of structures in data compared with interactive projection-based clustering (IPBC).
Int. J. Data Sci. Anal.
Michael C. Thrun, Felix Pape, Alfred Ultsch
2021 J jnl
Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC).
Int. J. Data Sci. Anal.
Michael C. Thrun, Felix Pape, Alfred Ultsch
2021 J jnl
Explainable AI Framework for Multivariate Hydrochemical Time Series.
Mach. Learn. Knowl. Extr.
Michael C. Thrun, Alfred Ultsch, Lutz Breuer
2021 J jnl
Fundamental clustering algorithms suite.
SoftwareX
Michael C. Thrun, Quirin Stier
2021 J jnl
Swarm Intelligence for Self-Organized Clustering.
CoRR
Michael C. Thrun, Alfred Ultsch
2021 J jnl
Swarm intelligence for self-organized clustering.
Artif. Intell.
Michael C. Thrun, Alfred Ultsch
2021 J jnl
The Exploitation of Distance Distributions for Clustering.
CoRR
Michael C. Thrun
2021 J jnl
The Exploitation of Distance Distributions for Clustering.
Int. J. Comput. Intell. Appl.
Michael C. Thrun
2021 J jnl
Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data.
J. Classif.
Michael C. Thrun, Alfred Ultsch
2020 — conf
Improving the Sensitivity of Statistical Testing for Clusterability with Mirrored-Density Plots.
MLVis@Eurographics/EuroVis
Michael C. Thrun
2020 B conf
Interactive Machine Learning Tool for Clustering in Visual Analytics.
DSAA
Michael C. Thrun, Felix Pape, Alfred Ultsch
2020 J jnl
Projection-Based Classification of Chemical Groups for Provenance Analysis of Archaeological Materials.
IEEE Access
Pedro A. López-García, Denisse L. Argote, Michael C. Thrun
2020 A* conf
Swarm Intelligence for Self-Organized Clustering (Extended Abstract).
IJCAI
Michael C. Thrun, Alfred Ultsch
2020 Misc conf
Swarm-Based Cluster Analysis for Knowledge Discovery.
KI
Michael C. Thrun, Alfred Ultsch
2019 J jnl
Analyzing the Fine Structure of Distributions.
CoRR
Michael C. Thrun, Tino Gehlert, Alfred Ultsch
2019 B conf
Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOM.
ESANN
Michael C. Thrun
2018 — book
Projection-Based Clustering through Self-Organization and Swarm Intelligence, Combining Cluster Analysis with the Visualization of High-Dimensional Data.
Michael C. Thrun
2017 — conf
Credible visualizations for planar projections.
WSOM
Alfred Ultsch, Michael C. Thrun