activity
20222024
most citedFraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field

17 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Uplift modeling with continuous treatments: A predict-then-optimize approach

Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann +1

The goal of uplift modeling is to recommend actions that optimize specific outcomes by determining which entities should receive treatment. One common approach involves two steps:…

cs.LG2024

Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation

Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck +1

Estimating conditional average dose responses (CADR) is an important but challenging problem. Estimators must correctly model the potentially complex relationships between covariat…

cs.LG2023

A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions

Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck +1

In lending, where prices are specific to both customers and products, having a well-functioning personalized pricing policy in place is essential to effective business making. Typi…

cs.LG2023

Using representation balancing to learn conditional-average dose responses from clustered data

Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets +2

Estimating a unit's responses to interventions with an associated dose, the "conditional average dose response" (CADR), is relevant in a variety of domains, from healthcare to busi…

cs.CR2022★ 17 cited

Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field

Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke

The literature on fraud analytics and fraud detection has seen a substantial increase in output in the past decade. This has led to a wide range of research topics and overall litt…

econ.EM2022

Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100

Christopher Bockel-Rickermann

The internet has changed the way we live, work and take decisions. As it is the major modern resource for research, detailed data on internet usage exhibits vast amounts of behavio…