"Design Principles for Falsifiable, Replicable and Reproducible Empirical ..."

Daniel Vranjes et al. (2024)

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DOI: 10.4230/OASICS.DX.2024.7

access: open

type: Conference or Workshop Paper

metadata version: 2024-11-26

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Daniel Vranjes, Jonas Ehrhardt, René Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann:
Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. DX 2024: 7:1-7:13

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