Financial technology, or Fintech, represents an emerging industry on the global market. With
online transactions on the rise, the use of IT for automation of financial services is of …

Random Forest (Breiman, 2001) is a successful and widely used regression and
classification algorithm. Part of its appeal and reason for its versatility is its (implicit) …

Many real-life applications consider nominal categorical predictor variables that have a
hierarchical structure, eg economic activity data in Official Statistics. In this paper, we focus …

Intergenerational mobility (IGM) is a long-standing interest in social sciences and the public
debate. The extent to which children's opportunities are determined by their parents' income …

The increasing number of work zone crashes has been a significant concern for road users,
transportation agencies, and researchers. Crashes can be caused by work zones, and this …

The prediction of travel mode preference, like many other choice prediction problems, may
depend on categorical features of the choice options or the choice makers. Such categorical …

Online platforms often face the challenge of being both fair (ie, non-discriminatory) and
efficient (ie, maximizing revenue). Using computer vision algorithms and observational data …

A central problem in customer relation management (CRM) is to cluster customers into
meaningful groups. The problem is often called customer segmentation and is of paramount …

In this paper, we propose a unified dynamic framework for adaptive ad sequencing that
optimizes user engagement with ads. Our framework comprises three components:(1) a …

We propose a method to reduce the complexity of Generalized Linear Models in the
presence of categorical predictors. The traditional one-hot encoding, where each category is …