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Dominik Martin

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Open access Aug 2026

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning

A problem-oriented framework for domain adaptation is developed through a systematic, iterative development and evaluation methodology, refined through three evaluation episodes, that provides clear, actionable guidance for researchers and practitioners seeking to employ domain adaptation techniques, even without speci...

Philipp Spitzer, Dominik Martin, Laurin Eichberger et al. · 0 citations

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