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Maytal Saar‐Tsechansky

1 paper here

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

author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.AI1
ORCID 0000-0002-2400-3762

identity via Semantic Scholar / OpenAlex

most citedAlgorithmic Fairness in Business Analytics: Directions for Research and Practice

8 citations · 8 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2024

Using Machine Bias To Measure Human Bias

Wanxue Dong, Maria De-Arteaga, Maytal Saar-Tsechansky

Biased human decisions have consequential impacts across various domains, yielding unfair treatment of individuals and resulting in suboptimal outcomes for organizations and societ…

cs.LG2023★ 21 cited

Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II

Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky

Problem Definition. Increasing costs of healthcare highlight the importance of effective disease prevention. However, decision models for allocating preventive care are lacking. Me…

cs.AI2022★ 8 cited

Algorithmic Fairness in Business Analytics: Directions for Research and Practice

Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky

The extensive adoption of business analytics (BA) has brought financial gains and increased efficiencies. However, these advances have simultaneously drawn attention to rising lega…

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