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