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Michael C Thrun

Showing results (1-10 of 14) with videos related to

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Scientific Reports|October 7, 2021
Publisher Correction: Distance-based clustering challenges for unbiased benchmarking studiesMichael C Thrun
Scientific Reports|September 24, 2021
Distance-based clustering challenges for unbiased benchmarking studiesMichael C Thrun
Data in Brief|May 7, 2020
Clustering benchmark datasets exploiting the fundamental clustering problemsMichael C Thrun, Alfred Ultsch
Methodsx|November 2, 2020
Uncovering High-dimensional Structures of Projections from Dimensionality Reduction MethodsMichael C Thrun, Alfred Ultsch
Plos One|October 14, 2020
Analyzing the fine structure of distributionsMichael C Thrun, Tino Gehlert, Alfred Ultsch
Scientific Reports|August 31, 2016
Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributionsAlice H Aubert, Michael C Thrun, Lutz Breuer, et al.
International Journal of Molecular Sciences|October 31, 2015
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss)Alfred Ultsch, Michael C Thrun, Onno Hansen-Goos, et al.
Frontiers in Immunology|March 21, 2024
Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditionsJoerg Hoffmann, Anne Rheude, Andreas Neubauer, et al.
Data in Brief|July 8, 2022
Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methodsMichael C Thrun, Jörg Hoffmann, Maximilian Röhnert, et al.
Pain|March 30, 2018
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 capsaicinDario Kringel, Gerd Geisslinger, Eduard Resch, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Scientific Reports|October 7, 2021
Publisher Correction: Distance-based clustering challenges for unbiased benchmarking studiesMichael C Thrun
Scientific Reports|September 24, 2021
Distance-based clustering challenges for unbiased benchmarking studiesMichael C Thrun
Data in Brief|May 7, 2020
Clustering benchmark datasets exploiting the fundamental clustering problemsMichael C Thrun, Alfred Ultsch
Methodsx|November 2, 2020
Uncovering High-dimensional Structures of Projections from Dimensionality Reduction MethodsMichael C Thrun, Alfred Ultsch
Plos One|October 14, 2020
Analyzing the fine structure of distributionsMichael C Thrun, Tino Gehlert, Alfred Ultsch
Scientific Reports|August 31, 2016
Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributionsAlice H Aubert, Michael C Thrun, Lutz Breuer, et al.
International Journal of Molecular Sciences|October 31, 2015
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss)Alfred Ultsch, Michael C Thrun, Onno Hansen-Goos, et al.
Frontiers in Immunology|March 21, 2024
Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditionsJoerg Hoffmann, Anne Rheude, Andreas Neubauer, et al.
Data in Brief|July 8, 2022
Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methodsMichael C Thrun, Jörg Hoffmann, Maximilian Röhnert, et al.
Pain|March 30, 2018
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 capsaicinDario Kringel, Gerd Geisslinger, Eduard Resch, et al.
Pageof 2