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researcher

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 citedUnderstanding Bias in Machine Learning

15 citations · 19 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Towards a Rigorous Evaluation of XAI Methods on Time Series

Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2

Explainable Artificial Intelligence (XAI) methods are typically deployed to explain and debug black-box machine learning models. However, most proposed XAI methods are black-boxes…

cs.LG2019★ 15 cited

Understanding Bias in Machine Learning

Jindong Gu, Daniela Oelke

Bias is known to be an impediment to fair decisions in many domains such as human resources, the public sector, health care etc. Recently, hope has been expressed that the use of m…

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