10 citations · 12 across the 4 of their papers we have counts for
4 papers
Continuous Sweep for Binary Quantification Learning
Kevin Kloos, Julian D. Karch, Quinten A. Meertens +1
A quantifier is a supervised machine learning algorithm, focused on estimating the class prevalence in a dataset rather than labeling its individual observations. We introduce Cont…
Improving the output quality of official statistics based on machine learning algorithms
Quinten Meertens, Cees Diks, Jaap van den Herik +1
National statistical institutes currently investigate how to improve the output quality of official statistics based on machine learning algorithms. A key obstacle is concept drift…
A Bayesian Approach for Accurate Classification-Based Aggregates
Q. A. Meertens, C. G. H. Diks, H. J. van den Herik +1
In this paper, we study the accuracy of values aggregated over classes predicted by a classification algorithm. The problem is that the resulting aggregates (e.g., sums of a variab…
A Data-Driven Supply-Side Approach for Measuring Cross-Border Internet Purchases
Q. A. Meertens, C. G. H. Diks, H. J. van den Herik +1
The digital economy is a highly relevant item on the European Union's policy agenda. Cross-border internet purchases are part of the digital economy, but their total value can curr…