Michael C. Thrun
Michael C. Thrun
Mathematics and Computer Science, Philipps-Universität Marburg
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
Clustering benchmark datasets exploiting the fundamental clustering problems
MC Thrun, A Ultsch
Data in brief 30, 105501, 2020
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
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
Fundamental clustering algorithms suite
MC Thrun, Q Stier
SoftwareX 13 (C), 100642, 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
Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions
AH Aubert, MC Thrun, L Breuer, A Ultsch
Scientific reports 6 (1), 31536, 2016
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
Distance-Based Clustering Challenges for Unbiased Benchmarking Studies
MC Thrun
Scientific Reports 11 (1), 18988, 2021
Explainable AI Framework for Multivariate Hydrochemical Time Series
M Thrun, A Ultsch, L Breuer
Mach. Learn. Knowl. Extr. 3 (1), 170-205, 2021
Credible Visualizations for Planar Projections
A Ultsch, MC Thrun
Proc. Workshop on Self-Organizing Maps (WSOM), 256-260, 2017
Uncovering High-Dimensional Structures of Projections from Dimensionality Reduction Methods
MC Thrun, A Ultsch
MethodsX, 101093, 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), 1366-1381, 2018
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
Rapid serial processing of natural scenes: color modulates detection but neither recognition nor the attentional blink
S Marx, O Hansen-Goos, M Thrun, W Einhäuser
Journal of Vision 14 (14), 4-4, 2014
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
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