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20172026
most citedA new perspective on classification: optimally allocating limited resources to uncertain tasks

2 citations · 4 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.LG2026

Foundation Models for Credit Risk Prediction: A Game Changer?

Bart Baesens, Andreas Goethals, Stefan Lessmann +10

Predictive models play a pivotal role in credit risk management, guiding critical decisions through accurate estimation of default probabilities and losses. Extensive research has…

cs.LG20251 cited

Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection

Félix Vandervorst, Bruno Deprez, Wouter Verbeke +1

Graph-based methods are becoming increasingly popular in machine learning due to their ability to model complex data and relations. Insurance fraud is a prime use case, since fraud…

cs.LG202512 cited

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review

Bruno Deprez, Wei Wei, Wouter Verbeke +3

Financial institutions are required by regulation to report suspicious financial transactions related to money laundering. Therefore, they need to constantly monitor vast amounts o…

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…