Xavier Pleimling
Xavier Pleimling is a Ph.D. student in the Department of Computer Science. His advisor is Ismini Lourentzou.
His research interests are data analytics and machine learning, and most recently, is focused on data quality and finding a uniform definition for it based on commonly observed data quality challenges.
Publications
Xavier Pleimling, Vedant Shah, Ismini Lourentzou
In Proceedings of the PErvasive Technologies Related to Assistive Environments, (pp 118–124), 07/2022
Citatations: BibTeX