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Moritz Herrmann

Position Paper: Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation

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May 03, 2024
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DCSI -- An improved measure of cluster separability based on separation and connectedness

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Oct 19, 2023
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Enhancing cluster analysis via topological manifold learning

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Jul 01, 2022
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A geometric framework for outlier detection in high-dimensional data

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Jul 01, 2022
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A geometric perspective on functional outlier detection

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Sep 14, 2021
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Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

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Dec 22, 2020
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Large-scale benchmark study of survival prediction methods using multi-omics data

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Mar 07, 2020
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