papers
Publications (3)
cs.CY2018
Analyzing Partitioned FAIR Health Data Responsibly
Chang Sun, Lianne Ippel, Birgit Wouters +11
It is widely anticipated that the use of health-related big data will enable further understanding and improvements in human health and wellbeing. Our current project, funded throu…
cs.LG2024
Bias Correction in Machine Learning-based Classification of Rare Events
Luuk Gubbels, Marco Puts, Piet Daas
Online platform businesses can be identified by using web-scraped texts. This is a classification problem that combines elements of natural language processing and rare event detec…
stat.ML2024
Leveraging Machine Learning for Official Statistics: A Statistical Manifesto
Marco Puts, David Salgado, Piet Daas
It is important for official statistics production to apply ML with statistical rigor, as it presents both opportunities and challenges. Although machine learning has enjoyed rapid…