204 citations · 636 across the 40 of their papers we have counts for
3 papers · 1 filter
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles
Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper +2
The safety assessment of automated vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the fi…
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
Laurens Sluijterman, Eric Cator, Tom Heskes
As neural networks become more popular, the need for accompanying uncertainty estimates increases. There are currently two main approaches to test the quality of these estimates. M…
Extending the Mann-Kendall test to allow for measurement uncertainty
Stavros Nikolakopoulos, Eric Cator, Mart P. Janssen
The Mann-Kendall test for trend has gained a lot of attention in a range of disciplines, especially in the environmental sciences. One of the drawbacks of the Mann-Kendall test whe…