Institutsseminar/2021-10-11 Zusatztermin

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Termin (Alle Termine)
Datum Mo 11. Oktober 2021, 14:00 Uhr
Dauer 45 min
Vorheriger Termin Fr 24. September 2021
Nächster Termin Fr 15. Oktober 2021


Vortragende(r) Lena Witterauf
Titel DomainML: A modular framework for domain knowledge-guided machine learning
Vortragstyp Masterarbeit
Betreuer(in) Pawel Bielski
Kurzfassung Standard, data-driven machine learning approaches learn relevant patterns solely from data. In some fields however, learning only from data is not sufficient. A prominent example for this is healthcare, where the problem of data insufficiency for rare diseases is tackled by integrating high-quality domain knowledge into the machine learning process.

Despite the existing work in the healthcare context, making general observations about the impact of domain knowledge is difficult, as different publications use different knowledge types, prediction tasks and model architectures. It further remains unclear if the findings in healthcare are transferable to other use-cases, as well as how much intellectual effort this requires.

With this Thesis we introduce DomainML, a modular framework to evaluate the impact of domain knowledge on different data science tasks. We demonstrate the transferability and flexibility of DomainML by applying the concepts from healthcare to a cloud system monitoring. We then observe how domain knowledge impacts the model’s prediction performance across both domains, and suggest how DomainML could further be used to refine both the given domain knowledge as well as the quality of the underlying dataset.

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