<?xml version="1.0" encoding="US-ASCII"?>
<dblp>
<article key="journals/computer/BadranCKBCCSK23" mdate="2024-03-07">
<author orcid="0000-0003-2293-3656">Khaled Badran</author>
<author>Pierre-Olivier C&#244;t&#233;</author>
<author>Amanda Kolopanis</author>
<author>Rached Bouchoucha</author>
<author orcid="0000-0002-6440-9791">Antonio Collante</author>
<author orcid="0000-0001-7084-2594">Diego Elias Costa</author>
<author orcid="0000-0003-1285-9878">Emad Shihab</author>
<author orcid="0000-0002-5704-4173">Foutse Khomh</author>
<title>Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?</title>
<pages>71-79</pages>
<year>2023</year>
<month>April</month>
<volume>56</volume>
<journal>Computer</journal>
<number>4</number>
<ee>https://doi.org/10.1109/MC.2022.3220707</ee>
<url>db/journals/computer/computer56.html#BadranCKBCCSK23</url>
</article></dblp>
