3 citations · 5 across the 4 of their papers we have counts for
4 papers
The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models
Etienne van de Bijl, Jan Klein, Joris Pries +3
Novel prediction methods should always be compared to a baseline to know how well they perform. Without this frame of reference, the performance score of a model is basically meani…
The BP Dependency Function: a Generic Measure of Dependence between Random Variables
Guus Berkelmans, Joris Pries, Sandjai Bhulai +1
Measuring and quantifying dependencies between random variables (RV's) can give critical insights into a data-set. Typical questions are: `Do underlying relationships exist?', `Are…
A machine learning approach to itinerary-level booking prediction in competitive airline markets
Daniel Hopman, Ger Koole, Rob van der Mei
Demand forecasting is extremely important in revenue management. After all, it is one of the inputs to an optimisation method which aim is to maximize revenue. Most, if not all, fo…
Integrating Condition-Based Maintenance into Dynamic Spare Parts Management
Dmitrii Usanov, Peter van de Ven, Rob van der Mei
In this paper we introduce a new model where the concept of condition-based maintenance is combined in a network setting with dynamic spare parts management. The model facilitates…