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researcher

Z. Raisi-Estabragh

3 papers hereh-index 284.1k citations149 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.CY1

identity via Semantic Scholar / OpenAlex

most citedA Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

805 citations · 830 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CY2026

Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices

Ahmed M Salih, Oliver Díaz, Alejandro Guzman +6

Background: AI/ML-enabled medical devices are increasingly deployed in healthcare under evolving regulatory frameworks. As these systems become more integrated into clinical decisi…

stat.ML2023★ 805 cited

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4

eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communica…

stat.ML2023★ 25 cited

Characterizing the contribution of dependent features in XAI methods

Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3

Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…

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