Michael C. Thrun
Michael C. Thrun
Mathematics and Computer Science, Philipps-Universität Marburg
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Cited by
Cited by
Overt attention in natural scenes: Objects dominate features
J Stoll, M Thrun, A Nuthmann, W Einhäuser
Vision research 107, 36-48, 2015
Projection-based clustering through self-organization and swarm intelligence: combining cluster analysis with the visualization of high-dimensional data
MC Thrun
Springer, 2018
Swarm Intelligence for Self-Organized Clustering (Extended Abstract)
MC Thrun, A Ultsch
29th International Joint Conference on Artificial Intelligence (IJCAI), 5125 …, 2020
Analyzing the fine structure of distributions
MC Thrun, T Gehlert, A Ultsch
PloS one 15 (10), e0238835, 2020
Visualization and 3D printing of multivariate data of biomarkers
MC Thrun, F Lerch
Václav Skala-UNION Agency, 2016
Identification of molecular fingerprints in human heat pain thresholds by use of an interactive mixture model R toolbox (AdaptGauss)
A Ultsch, MC Thrun, O Hansen-Goos, J Lötsch
International journal of molecular sciences 16 (10), 25897-25911, 2015
Using Projection-Based Clustering to Find Distanceand Density-Based Clusters in High-Dimensional Data
MC Thrun, A Ultsch
Journal of Classification 38 (2), 280–312, 2021
Clustering benchmark datasets exploiting the fundamental clustering problems
MC Thrun, A Ultsch
Data in brief 30, 105501, 2020
Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions
AH Aubert, MC Thrun, L Breuer, A Ultsch
Scientific reports 6 (1), 1-8, 2016
Fundamental clustering algorithms suite
MC Thrun, Q Stier
SoftwareX 13 (C), 100642, 2021
Machine-learned data structures of lipid marker serum concentrations in multiple sclerosis patients differ from those in healthy subjects
J Lötsch, M Thrun, F Lerch, R Brunkhorst, S Schiffmann, D Thomas, ...
International journal of molecular sciences 18 (6), 1217, 2017
Credible Visualizations for Planar Projections
A Ultsch, MC Thrun
Proc. Workshop on Self-Organizing Maps (WSOM), 256-260, 2017
Distance-Based Clustering Challenges for Unbiased Benchmarking Studies
MC Thrun
Scientific Reports 11 (1), 18988, 2021
Determination of CD43 and CD200 surface expression improves accuracy of B‐cell lymphoma immunophenotyping
J Hoffmann, M Rother, U Kaiser, MC Thrun, C Wilhelm, A Gruen, ...
Cytometry Part B: Clinical Cytometry 98 (6), 476-482, 2020
Machine-learned analysis of the association of next-generation sequencing–based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin
D Kringel, G Geisslinger, E Resch, BG Oertel, MC Thrun, S Heinemann, ...
Pain 159 (7), 1366, 2018
Explainable AI Framework for Multivariate Hydrochemical Time Series
M Thrun, A Ultsch, L Breuer
Mach. Learn. Knowl. Extr. 3 (1), 170-205, 2021
Uncovering High-Dimensional Structures of Projections from Dimensionality Reduction Methods
MC Thrun, A Ultsch
MethodsX, 101093, 2020
Interactive machine learning tool for clustering in visual analytics
M Thrun, F Pape, A Ultsch
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
The Exploitation of Distance Distributions for Clustering
MC Thrun
International Journal of Computational Intelligence and Applications, 2150016, 2021
Projection-based Classification of Chemical Groups for Provenance Analysis of Archaeological Materials
P López-García, D Argote, MC Thrun
IEEE Access 8, 10.1109/ACCESS.2020.3016244, 2020
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