Resultados da busca - Alfred Ultsch

Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size por Jörn Lötsch, Alfred Ultsch

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A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions. por Alfred Ultsch, Jörn Lötsch

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Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans) por Alfred Ultsch, Jörn Lötsch

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The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms por Alfred Ultsch, Jörn Lötsch

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Comparative assessment of projection and clustering method combinations in the analysis of biomedical data por Jörn Lötsch, Alfred Ultsch

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Functional abstraction as a method to discover knowledge in gene ontologies. por Alfred Ultsch, Jörn Lötsch

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Pitfalls of Using Multinomial Regression Analysis to Identify Class-Structure-Relevant Variables in Biomedical Data Sets: Why a Mixture of Experts (MOE) Approach Is Better por Jörn Lötsch, Alfred Ultsch

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Enhancing Explainable Machine Learning by Reconsidering Initially Unselected Items in Feature Selection for Classification por Jörn Lötsch, Alfred Ultsch

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Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data. por Alfred Ultsch, Jörn Lötsch

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A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data por Jörn Lötsch, Alfred Ultsch

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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape. por Jörn Lötsch, Alfred Ultsch

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

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Revisiting Fold-Change Calculation: Preference for Median or Geometric Mean over Arithmetic Mean-Based Methods por Jörn Lötsch, Dario Kringel, Alfred Ultsch

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Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling). por Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch

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Comparative assessment of automated algorithms for the separation of one-dimensional Gaussian mixtures por Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch

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Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling) por Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch

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A perspective of randomness in a clinical test of olfactory performance por Jörn Lötsch, Thomas Hummel, Alfred Ultsch

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Explainable AI Framework for Multivariate Hydrochemical Time Series por Michael C. Thrun, Alfred Ultsch, Lutz Breuer

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Analyzing the fine structure of distributions. por Michael C Thrun, Tino Gehlert, Alfred Ultsch

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Artificial intelligence and machine learning in pain research: a data scientometric analysis por Jörn Lötsch, Alfred Ultsch, Benjamin Mayer, Dario Kringel

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