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researcher

Mohamed S. Farag

1 paper here

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

author position
  • middle author1

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

fields
  • q-fin.ST1
ORCID 0000-0002-5048-7780

identity via Semantic Scholar / OpenAlex

most citedCombating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

q-fin.ST2024★ 5 cited

Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering

Ahmed N. Bakry, Almohammady S. Alsharkawy, Mohamed S. Farag +1

Anti-Money Laundering (AML) is a crucial task in ensuring the integrity of financial systems. One keychallenge in AML is identifying high-risk groups based on their behavior. Unsup…

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