Tim Verdonck

According to our database, Tim Verdonck authored at least 45 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Claims fraud detection with uncertain labels.

Félix Vandervorst, Wouter Verbeke, Tim Verdonck

Adv. Data Anal. Classif., March, 2024

Co-clustering contaminated data: a robust model-based approach.

Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck

Adv. Data Anal. Classif., March, 2024

2023

Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography.

Steven Mortier, Renata Turkes, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck

Sensors, December, 2023

Smart initialisation and approximating loss function for robust regression.

Thomas Servotte, Jakob Raymaekers, Tim Verdonck

Inf. Sci., December, 2023

Fraud analytics: A decade of research: Organizing challenges and solutions in the field.

Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke

Expert Syst. Appl., December, 2023

Interpretable cost-sensitive regression through one-step boosting.

Thomas Decorte, Jakob Raymaekers, Tim Verdonck

Decis. Support Syst., December, 2023

Robust instance-dependent cost-sensitive classification.

Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke

Adv. Data Anal. Classif., December, 2023

Regularization oversampling for classification tasks: To exploit what you do not know.

Lennert Van der Schraelen, Kristof Stouthuysen, Seppe K. L. M. vanden Broucke, Tim Verdonck

Inf. Sci., July, 2023

Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring.

Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré

Data Min. Knowl. Discov., May, 2023

direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods.

Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck

SoftwareX, February, 2023

Fast thresholded concordance probability for evolutionary optimization.

Jolien Ponnet, Jakob Raymaekers, Tim Verdonck

Swarm Evol. Comput., 2023

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning.

Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck

CoRR, 2023

Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features.

Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms

CoRR, 2023

Learning continuous-valued treatment effects through representation balancing.

Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke

CoRR, 2023

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

Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke

CoRR, 2023

Fast Linear Model Trees by PILOT.

Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao

CoRR, 2023

On the causality-preservation capabilities of generative modelling.

Yves-Cédric Bauwelinckx, Jan Dhaene, Tim Verdonck, Milan van den Heuvel

CoRR, 2023

Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification.

Ireimis Leguen-devarona, Julio Madera, Hector González, Lise Tubex, Tim Verdonck

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

2022

Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies.

Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke

Inf. Sci., 2022

Instance-dependent cost-sensitive learning for detecting transfer fraud.

Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck

Eur. J. Oper. Res., 2022

Data misrepresentation detection for insurance underwriting fraud prevention.

Félix Vandervorst, Wouter Verbeke, Tim Verdonck

Decis. Support Syst., 2022

Prescriptive maintenance with causal machine learning.

Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke

CoRR, 2022

A new perspective on classification: optimally allocating limited resources to uncertain tasks.

Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke

CoRR, 2022

Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification.

Jakob Raymaekers, Wouter Verbeke, Tim Verdonck

Appl. Soft Comput., 2022

Sparse dimension reduction based on energy and ball statistics.

Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck

Adv. Data Anal. Classif., 2022

Introduction to the Minitrack on Fraud Detection Using Machine Learning.

Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Instance-dependent cost-sensitive learning: do we really need it?

Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Data engineering for fraud detection.

Bart Baesens, Sebastiaan Höppner, Tim Verdonck

Decis. Support Syst., 2021

Weight-of-evidence 2.0 with shrinkage and spline-binning.

Jakob Raymaekers, Wouter Verbeke, Tim Verdonck

CoRR, 2021

2020

The minimum regularized covariance determinant estimator.

Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck

Stat. Comput., 2020

Profit driven decision trees for churn prediction.

Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck

Eur. J. Oper. Res., 2020

Cellwise robust M regression.

Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck

Comput. Stat. Data Anal., 2020

robROSE: A robust approach for dealing with imbalanced data in fraud detection.

Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck

CoRR, 2020

A Machine Learning Approach for Road Cycling Race Performance Prediction.

Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

2019

Outlyingness: Which variables contribute most?

Michiel Debruyne, Sebastiaan Höppner, Sven Serneels, Tim Verdonck

Stat. Comput., 2019

2017

Fast robust SUR with economical and actuarial applications.

Mia Hubert, Tim Verdonck, Özlem Yorulmaz

Stat. Anal. Data Min., 2017

2016

Sparse PCA for High-Dimensional Data With Outliers.

Mia Hubert, Tom Reynkens, Eric Schmitt, Tim Verdonck

Technometrics, 2016

2015

The DetS and DetMM estimators for multivariate location and scatter.

Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck

Comput. Stat. Data Anal., 2015

2014

Precision of power-law NHPP estimates for multiple systems with known failure rate scaling.

Jozef Van Dyck, Tim Verdonck

Reliab. Eng. Syst. Saf., 2014

2011

Comparing Mining Algorithms for Predicting the Severity of a Reported Bug.

Ahmed Lamkanfi, Serge Demeyer, Quinten David Soetens, Tim Verdonck

Proceedings of the 15th European Conference on Software Maintenance and Reengineering, 2011

2010

Robust kernel principal component analysis and classification.

Michiel Debruyne, Tim Verdonck

Adv. Data Anal. Classif., 2010

DetMCD in a Calibration Framework.

Tim Verdonck, Mia Hubert, Peter J. Rousseeuw

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Principal component regression for data containing outliers and missing elements.

Sven Serneels, Tim Verdonck

Comput. Stat. Data Anal., 2009

Robust PCA for skewed data and its outlier map.

Mia Hubert, Peter J. Rousseeuw, Tim Verdonck

Comput. Stat. Data Anal., 2009

2008

Principal component analysis for data containing outliers and missing elements.

Sven Serneels, Tim Verdonck

Comput. Stat. Data Anal., 2008