1 code implementation • 29 May 2024 • Bruno Deprez, Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
This has lead to a surge in literature on network analytics (NA) for anti-money laundering (AML).
Ranked #1 on Fraud Detection on Elliptic Dataset
no code implementations • 19 Dec 2023 • Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
Ultimately, this study contributes to our knowledge of the relationships between soil temperature, meteorological variables, and vegetation phenology, providing valuable insights for predicting vegetation phenology characteristics and managing subarctic grasslands in the face of climate change.
no code implementations • 30 Nov 2023 • Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms
Accurate forecasts for day-ahead photovoltaic (PV) power generation are crucial to support a high PV penetration rate in the local electricity grid and to assure stability in the grid.
1 code implementation • 7 Sep 2023 • Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
In this work, we propose CBRNet, a causal machine learning approach to estimate an individual dose response from observational data.
no code implementations • 7 Sep 2023 • Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
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.
no code implementations • 10 Aug 2023 • Sarah Leyder, Jakob Raymaekers, Tim Verdonck
TSLiNGAM leverages the non-Gaussianity assumption of the error terms in the LiNGAM model to obtain more efficient and robust estimation of the causal structure.
no code implementations • 8 Feb 2023 • Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Linear model trees are regression trees that incorporate linear models in the leaf nodes.
no code implementations • 3 Jan 2023 • Yves-Cédric Bauwelinckx, Jan Dhaene, Tim Verdonck, Milan van den Heuvel
Breakthroughs in these fields often come with the requirement of large amounts of data.
no code implementations • 7 Dec 2022 • Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
In addition, we build a framework for fraud analytical methods and propose a keywording strategy for future research.
no code implementations • 3 Jun 2022 • Toon Vanderschueren, Robert Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
This work proposes to relax both assumptions by learning the effect of maintenance conditional on a machine's characteristics from observational data on similar machines using existing methodologies for causal inference.
no code implementations • 9 Feb 2022 • Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A central problem in business concerns the optimal allocation of limited resources to a set of available tasks, where the payoff of these tasks is inherently uncertain.
no code implementations • 21 May 2021 • Robin Van Oirbeek, Jolien Ponnet, Tim Verdonck
Contrary to AUC, the concordance probability can also be extended to the situation with a continuous response variable.
1 code implementation • 5 Jan 2021 • Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
We present the results of a series of experiments in a fraud detection setting, which illustrate the effectiveness of the presented approach.
1 code implementation • 5 May 2020 • Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
Fraud detection is to be acknowledged as an instance-dependent cost-sensitive classification problem, where the costs due to misclassification vary between instances, and requiring adapted approaches for learning a classification model.
Applications
1 code implementation • 22 Mar 2020 • Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck
Detecting fraud in such a highly imbalanced data set typically leads to predictions that favor the majority group, causing fraud to remain undetected.
no code implementations • 14 Nov 2019 • Robin Van Oirbeek, Christopher Grumiau, Tim Verdonck
Due to the typical large sample size of the frequency data in particular, two different adaptations of the estimation procedure of the concordance probability are presented.
no code implementations • 21 Dec 2017 • Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Customer retention campaigns increasingly rely on predictive models to detect potential churners in a vast customer base.