Distance-based clustering challenges for unbiased benchmarking studies von Thrun, Michael C.

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Analyzing the fine structure of distributions von Thrun, Michael C, Gehlert, Tino, Ultsch, Alfred, Zhang, Qichun, Vafaee, Fatemeh

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Publisher Correction: Distance-based clustering challenges for unbiased benchmarking studies von Thrun, Michael C.

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Clustering benchmark datasets exploiting the fundamental clustering problems von Thrun, Michael C., Ultsch, Alfred

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Exploiting Distance-Based Structures in Data Using an Explainable AI for Stock Picking von Thrun, Michael C.

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Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions von Hoffmann, Joerg, Rheude, Anne, Neubauer, Andreas, Brendel, Cornelia, Thrun, Michael C

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Swarm intelligence for self-organized clustering von Thrun, Michael C., Ultsch, Alfred

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Analyzing Quality Measurements for Dimensionality Reduction von Thrun, Michael C., Märte, Julian, Stier, Quirin

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Uncovering High-dimensional Structures of Projections from Dimensionality Reduction Methods von Thrun, Michael C., Ultsch, Alfred

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Cluster Analysis of Per Capita Gross Domestic Products von Thrun, Michael C

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Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia von Hoffmann, Joerg, Eminovic, Semil, Wilhelm, Christian, Krause, Stefan W, Neubauer, Andreas, Thrun, Michael C, Ultsch, Alfred, Brendel, Cornelia

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Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data von Thrun, Michael C., Ultsch, Alfred

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Projection-Based Classification of Chemical Groups for Provenance Analysis of Archaeological Materials von Lopez-Garcia, Pedro A., Argote, Denisse L., Thrun, Michael C.

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A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis von Thrun, Michael C, Mack, Elisabeth K. M, Neubauer, Andreas, Haferlach, Torsten, Frech, Miriam, Ultsch, Alfred, Brendel, Cornelia

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Fundamental clustering algorithms suite von Thrun, Michael C., Stier, Quirin

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Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods von Thrun, Michael C., Hoffmann, Jörg, Röhnert, Maximilian, von Bonin, Malte, Oelschlägel, Uta, Brendel, Cornelia, Ultsch, Alfred

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Deriving Homogeneous Subsets from Gene Sets by Exploiting the Gene Ontology von Stier, Quirin, Thrun, Michael C.

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Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss) von Ultsch, Alfred, Thrun, Michael C, Hansen-Goos, Onno, Lötsch, Jörn

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Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions von Aubert, Alice H., Thrun, Michael C., Breuer, Lutz, Ultsch, Alfred

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Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method von Hoffmann, Joerg, Thrun, Michael C., Röhnert, Maximilian A., Bonin, Malte, Oelschlägel, Uta, Neubauer, Andreas, Ultsch, Alfred, Brendel, Cornelia

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