1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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.ML2021★ 1 cited
Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach
Marco J. H. Puts, Piet J. H. Daas
Binary classifiers trained on a certain proportion of positive items introduce a bias when applied to data sets with different proportions of positive items. Most solutions for dea…