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Daniela Oelke

5 papers hereh-index 171.4k citations52 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedAn Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing 2020 · cs.LGShow all

1 paper · 2 filters

cs.LG2020★ 4 cited

An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks

Udo Schlegel, Daniela Oelke, Daniel A. Keim +1

Decision explanations of machine learning black-box models are often generated by applying Explainable AI (XAI) techniques. However, many proposed XAI methods produce unverified ou…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.