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Hana Sulieman

4 papers hereh-index 12450 citations34 works total

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

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.CO1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedMachine learning applications for COVID-19: A state-of-the-art review

10 citations · 11 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 1 cited

Synthetic Data for Feature Selection

Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri

Feature selection is an important and active field of research in machine learning and data science. Our goal in this paper is to propose a collection of synthetic datasets that ca…

stat.CO2021

Time series signal recovery methods: comparative study

Firuz Kamalov, Hana Sulieman

Signal data often contains missing values. Effective replacement (imputation) of the missing values can have significant positive effects on processing the signal. In this paper, w…

stat.ME2021

Improving D-Optimality in Nonlinear Situations

Hana Sulieman

Experimental designs based on the classical D-optimal criterion minimize the volume of the linear-approximation inference regions for the parameters using local sensitivity coeffic…

cs.LG2021★ 10 cited

Machine learning applications for COVID-19: A state-of-the-art review

Firuz Kamalov, Aswani Cherukuri, Hana Sulieman +2

The COVID-19 pandemic has galvanized the machine learning community to create new solutions that can help in the fight against the virus. The body of literature related to applicat…

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