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Hana Sulieman

1 paper hereh-index 12450 citations34 works total

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author position
  • middle author1

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

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2026

Theoretical Convergence of SMOTE-Generated Samples

Firuz Kamalov, Hana Sulieman, Witold Pedrycz

Imbalanced data affects a wide range of machine learning applications, from healthcare to network security. As SMOTE is one of the most popular approaches to addressing this issue,…

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