Tim Verdonck

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Machine Learning

Money Laundering

Robust Regression

Top Venues

Decis. Support Syst.

Adv. Data Anal. Classif.

Publications

Robin Van Oirbeek, Jolien Ponnet, Bart Baesens, Tim Verdonck
Computational Efficient Approximations of the Concordance Probability in a Big Data Setting. Big Data 12 (3) (2024)
Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck
Co-clustering contaminated data: a robust model-based approach. Adv. Data Anal. Classif. 18 (1) (2024)
Sarah Leyder, Jakob Raymaekers, Tim Verdonck
Generalized spherical principal component analysis. Stat. Comput. 34 (3) (2024)
Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, Filip J. R. Meysman, Steven Latré, Erik Mannens, Tim Verdonck
Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring. Sensors 24 (8) (2024)
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Fast linear model trees by PILOT. Mach. Learn. 113 (9) (2024)
Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation. CoRR (2024)
Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. Ecol. Informatics 82 (2024)
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
Special issue on feature engineering editorial. Mach. Learn. 113 (7) (2024)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. 179 (2024)
Félix Vandervorst, Wouter Verbeke, Tim Verdonck
Claims fraud detection with uncertain labels. Adv. Data Anal. Classif. 18 (1) (2024)
Fernando Coello, Thomas Decorte, Iris Janssens, Steven Mortier, Jordi Sardans, Josep Peñuelas, Tim Verdonck
Global Crop-Specific Fertilization Dataset from 1961-2019. CoRR (2024)
Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR (2024)
Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck
direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods. SoftwareX 21 (2023)
Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. CoRR (2023)
Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. CoRR (2023)
Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Robust instance-dependent cost-sensitive classification. Adv. Data Anal. Classif. 17 (4) (2023)
Yves-Cédric Bauwelinckx, Jan Dhaene, Tim Verdonck, Milan van den Heuvel
On the causality-preservation capabilities of generative modelling. CoRR (2023)
Steven Mortier, Renata Turkes, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck
Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography. Sensors 23 (23) (2023)
Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions. CoRR (2023)
Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
Learning continuous-valued treatment effects through representation balancing. CoRR (2023)
Thomas Servotte, Jakob Raymaekers, Tim Verdonck
Smart initialisation and approximating loss function for robust regression. Inf. Sci. 651 (2023)
Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. Data Min. Knowl. Discov. 37 (3) (2023)
Jolien Ponnet, Jakob Raymaekers, Tim Verdonck
Fast thresholded concordance probability for evolutionary optimization. Swarm Evol. Comput. 78 (2023)
Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
Fraud analytics: A decade of research: Organizing challenges and solutions in the field. Expert Syst. Appl. 232 (2023)
Ireimis Leguen-devarona, Julio Madera, Hector González, Lise Tubex, Tim Verdonck
Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification. IWAIPR (2023)
Lennert Van der Schraelen, Kristof Stouthuysen, Seppe K. L. M. vanden Broucke, Tim Verdonck
Regularization oversampling for classification tasks: To exploit what you do not know. Inf. Sci. 635 (2023)
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Fast Linear Model Trees by PILOT. CoRR (2023)
Thomas Decorte, Jakob Raymaekers, Tim Verdonck
Interpretable cost-sensitive regression through one-step boosting. Decis. Support Syst. 175 (2023)
Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. 594 (2022)
Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens
Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS (2022)
Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck
Sparse dimension reduction based on energy and ball statistics. Adv. Data Anal. Classif. 16 (4) (2022)
Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
Instance-dependent cost-sensitive learning: do we really need it? HICSS (2022)
Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
Fraud Analytics: A Decade of Research - Organizing Challenges and Solutions in the Field. CoRR (2022)
Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
Prescriptive maintenance with causal machine learning. CoRR (2022)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR (2022)
Félix Vandervorst, Wouter Verbeke, Tim Verdonck
Data misrepresentation detection for insurance underwriting fraud prevention. Decis. Support Syst. 159 (2022)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. Appl. Soft Comput. 115 (2022)
Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur. J. Oper. Res. 297 (1) (2022)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence 2.0 with shrinkage and spline-binning. CoRR (2021)
Bart Baesens, Sebastiaan Höppner, Tim Verdonck
Data engineering for fraud detection. Decis. Support Syst. 150 (2021)
Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré
A Machine Learning Approach for Road Cycling Race Performance Prediction. MLSA@PKDD/ECML (2020)
Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck
robROSE: A robust approach for dealing with imbalanced data in fraud detection. CoRR (2020)
Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck
The minimum regularized covariance determinant estimator. Stat. Comput. 30 (1) (2020)
Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck
Cellwise robust M regression. Comput. Stat. Data Anal. 147 (2020)
Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Profit driven decision trees for churn prediction. Eur. J. Oper. Res. 284 (3) (2020)
Michiel Debruyne, Sebastiaan Höppner, Sven Serneels, Tim Verdonck
Outlyingness: Which variables contribute most? Stat. Comput. 29 (4) (2019)
Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Profit Driven Decision Trees for Churn Prediction. CoRR (2017)
Mia Hubert, Tim Verdonck, Özlem Yorulmaz
Fast robust SUR with economical and actuarial applications. Stat. Anal. Data Min. 10 (2) (2017)
Mia Hubert, Tom Reynkens, Eric Schmitt, Tim Verdonck
Sparse PCA for High-Dimensional Data With Outliers. Technometrics 58 (4) (2016)
Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck
The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. 81 (2015)
Jozef Van Dyck, Tim Verdonck
Precision of power-law NHPP estimates for multiple systems with known failure rate scaling. Reliab. Eng. Syst. Saf. 126 (2014)
Ahmed Lamkanfi, Serge Demeyer, Quinten David Soetens, Tim Verdonck
Comparing Mining Algorithms for Predicting the Severity of a Reported Bug. CSMR (2011)
Tim Verdonck, Mia Hubert, Peter J. Rousseeuw
DetMCD in a Calibration Framework. COMPSTAT (2010)
Michiel Debruyne, Tim Verdonck
Robust kernel principal component analysis and classification. Adv. Data Anal. Classif. 4 (2-3) (2010)
Sven Serneels, Tim Verdonck
Principal component regression for data containing outliers and missing elements. Comput. Stat. Data Anal. 53 (11) (2009)
Mia Hubert, Peter J. Rousseeuw, Tim Verdonck
Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. 53 (6) (2009)
Sven Serneels, Tim Verdonck
Principal component analysis for data containing outliers and missing elements. Comput. Stat. Data Anal. 52 (3) (2008)