← All authors Tim Verdonck IMEC (from arXiv:2301.01109, 2023) · ORCID · OpenAlex
67 papers in scope · 66 published · 2 on the econ.EM arXiv · 1,722 citations · h-index 18 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Jonas Metzger Evan Munro Susan Athey Guido W. Imbens Christian M. Dahl Emil N. Sørensen Simon Wittrock Yves-Cédric Bauwelinckx Jan Dhaene Milan van den Heuvel Christian E. Westermann Aditya Ghosh Stefan Wager Jordi Llorens-Terrazas Keyon Vafa Qi Wu Gaoqian Xu Yuan Qi Arun Advani Herman Brunborg Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (2 of 67)
Fast weighted linear model trees
published 2026 · Advances in Data Analysis and Classification
with Flor Debois, Jakob Raymaekers, Thomas Servotte
Independent component analysis by robust distance correlation
published 2026 · Advances in Data Analysis and Classification · 6 citations
with Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw, Tom Van Deuren
Cell-TRICC: A Model-Based Approach to Cellwise-Trimmed Co-Clustering
published 2026 · Journal of Computational and Graphical Statistics
with Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst
Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation
published 2025 · INFORMS Journal on Data Science · 6 citations · first circulated 2024
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review
published 2025 · Wiley Interdisciplinary Reviews Computational Statistics · 7 citations
Diverse ensemble cost-sensitive logistic regression
published 2025 · European Journal of Operational Research · 2 citations
with B. K. Yang, Stefan Van Aelst
Code and Data for "Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation"
published 2025 · INFORMS Journal on Data Science · 4 citations
Can causal machine learning reveal individual bid responses of bank customers? — A study on mortgage loan applications in Belgium
published 2024 · Decision Support Systems · 3 citations
published 2024 · Journal of Computational and Applied Mathematics · 3 citations · first circulated 2023
TSLiNGAM: DirectLiNGAM Under Heavy Tails
published 2024 · Journal of Computational and Graphical Statistics · 5 citations · first circulated 2023
with Sarah Leyder, Jakob Raymaekers
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
published 2024 · Ecological Informatics · 21 citations · first circulated 2023
with Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurðsson, Tom De Schepper
Fast linear model trees by PILOT
published 2024 · Machine Learning · 15 citations · first circulated 2023
with Jakob Raymaekers, Peter J. Rousseeuw, Ruicong Yao
Network analytics for insurance fraud detection: a critical case study
published 2024 · European Actuarial Journal · 6 citations
Non-Differentiable Loss Function Optimization and Interaction Effect Discovery in Insurance Pricing Using the Genetic Algorithm
published 2024 · Risks · 3 citations
with Robin Van Oirbeek, Félix Vandervorst, Thomas M. Bury, Gireg Willame, Christopher Grumiau
Generalized spherical principal component analysis
published 2024 · Statistics and Computing · 8 citations · first circulated 2023
with Sarah Leyder, Jakob Raymaekers
Elegant robustification of sparse partial least squares by robustness-inducing transformations
published 2024 · Statistics · 1 citations
with Sven Serneels, Luca Insolia
A new perspective on classification: Optimally allocating limited resources to uncertain tasks
published 2023 · Decision Support Systems · 9 citations · first circulated 2022
Claims fraud detection with uncertain labels
published 2023 · Advances in Data Analysis and Classification · 1 citations
Robust and sparse logistic regression
published 2023 · Advances in Data Analysis and Classification · 9 citations
with Dries Cornilly, Lise Tubex, Stefan Van Aelst
Smart initialisation and approximating loss function for robust regression
published 2023 · Information Sciences · 2 citations
with Thomas Servotte, Jakob Raymaekers
Co-clustering contaminated data: a robust model-based approach
published 2023 · Advances in Data Analysis and Classification · 6 citations
with Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst
working paper 2023 · arXiv
Interpretable cost-sensitive regression through one-step boosting
published 2023 · Decision Support Systems · 4 citations
with Thomas Decorte, Jakob Raymaekers
Computational Efficient Approximations of the Concordance Probability in a Big Data Setting
published 2023 · Big Data · 1 citations · first circulated 2021
Practicable optimization for portfolios that contain nonfungible tokens
published 2023 · Finance research letters · 4 citations
with Emmanuel Jordy Menvouta, Sven Serneels
Portfolio optimization using cellwise robust association measures and clustering methods with application to highly volatile markets
published 2023 · The Journal of Finance and Data Science · 10 citations
with Emmanuel Jordy Menvouta, Sven Serneels
Regularization oversampling for classification tasks: To exploit what you do not know
published 2023 · Information Sciences · 6 citations
with Lennert Van der Schraelen, Kristof Stouthuysen, Seppe vanden Broucke
Robust instance-dependent cost-sensitive classification
published 2023 · Advances in Data Analysis and Classification · 6 citations
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring
published 2022 · Data Mining and Knowledge Discovery · 16 citations
with Arie-Willem de Leeuw, Mathieu Heijboer, Arno Knobbe, Steven Latré
direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods
published 2022 · SoftwareX · 4 citations · first circulated 2020
with Emmanuel Jordy Menvouta, Sven Serneels
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models
published 2022 · Journal of the American Statistical Association · 5 citations
with Jolien Ponnet, Pieter Segaert, Stefan Van Aelst
Data misrepresentation detection for insurance underwriting fraud prevention
published 2022 · Decision Support Systems · 17 citations
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies
published 2022 · Information Sciences · 71 citations
Instance-dependent cost-sensitive learning: do we really need it?
published 2022 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2 citations
Introduction to the Minitrack on Fraud Detection Using Machine Learning
published 2022 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Sparse dimension reduction based on energy and ball statistics
published 2021 · Advances in Data Analysis and Classification
with Emmanuel Jordy Menvouta, Sven Serneels
Concordance Probability for Insurance Pricing Models
published 2021 · Risks · 4 citations
with Jolien Ponnet, Robin Van Oirbeek
A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes
published 2021 · Frontiers in Sports and Active Living · 20 citations
with Leonid Kholkine, Thomas Servotte, Arie-Willem de Leeuw, Tom De Schepper, Peter Hellinckx, Steven Latré
Noise robustness of persistent homology on greyscale images, across filtrations and signatures
published 2021 · PLoS ONE · 17 citations
with Renata Turkeš, Jannes Nys, Steven Latré
Special issue on feature engineering editorial
published 2021 · Machine Learning · 204 citations
robROSE: A robust approach for dealing with imbalanced data in fraud detection
published 2021 · Statistical Methods & Applications · 3 citations · first circulated 2020
Instance-dependent cost-sensitive learning for detecting transfer fraud
published 2021 · European Journal of Operational Research · 3 citations · first circulated 2020
Data engineering for fraud detection
published 2021 · Decision Support Systems · 158 citations
Address Identification Using Telematics: An Algorithm to Identify Dwell Locations
published 2020 · Risks · 1 citations
with Christopher Grumiau, Mina Mostoufi, Solon Pavlioglou
Outlier robust modeling of survival curves in the presence of potentially time-varying coefficients
published 2020 · Statistical Methods in Medical Research · 1 citations
with Jorne Lionel Biccler, Martin Bøgsted, Stefan Van Aelst
Cellwise robust M regression
published 2020 · Computational Statistics & Data Analysis
with Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels
Nearest comoment estimation with unobserved factors
published 2020 · Journal of Econometrics · 18 citations · first circulated 2017
Profit driven decision trees for churn prediction
published 2018 · European Journal of Operational Research · 127 citations · first circulated 2017
A Robust General Multivariate Chain Ladder Method
published 2018 · Risks · 7 citations
with Kris Peremans, Stefan Van Aelst
Outlyingness: Which variables contribute most?
published 2018 · Statistics and Computing · 17 citations
with Michiel Debruyne, Sebastiaan Höppner, Sven Serneels
A Coskewness Shrinkage Approach for Estimating the Skewness of Linear Combinations of Random Variables*
published 2018 · Journal of Financial Econometrics · 36 citations · first circulated 2016
Multivariate constrained robust M‐regression for shaping forward curves in electricity markets
published 2018 · Journal of Futures Markets
with Peter Leoni, Pieter Segaert, Sven Serneels
Fast robust SUR with economical and actuarial applications
published 2016 · Statistical Analysis and Data Mining The ASA Data Science Journal · 17 citations
with Mia Hubert, Özlem Yorulmaz
Sparse PCA for High-Dimensional Data With Outliers
published 2015 · Technometrics · 72 citations · first circulated 2014
with Mia Hubert, Tom Reynkens, Éric Schmitt
The DetS and DetMM estimators for multivariate location and scatter
published 2014 · Computational Statistics & Data Analysis · 30 citations
with Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel
Optimal risk transfer under quantile-based risk measurers
published 2013 · Insurance Mathematics and Economics · 63 citations
with Alexandru V. Asimit, Alexandru Badescu
A Deterministic Algorithm for Robust Location and Scatter
published 2012 · Journal of Computational and Graphical Statistics · 141 citations
with Mia Hubert, Peter J. Rousseeuw
Robust PARAFAC for incomplete data
published 2012 · Journal of Chemometrics · 41 citations
with Mia Hubert, Johan Van Kerckhoven
Detection and correction of outliers in the bivariate chain–ladder method
published 2011 · Insurance Mathematics and Economics · 11 citations
with Martine Van Wouwe
The influence of individual claims on the chain-ladder estimates: Analysis and diagnostic tool
published 2010 · Insurance Mathematics and Economics · 19 citations
with Michiel Debruyne
Robust kernel principal component analysis and classification
published 2010 · Advances in Data Analysis and Classification · 57 citations
with Michiel Debruyne
Robustified least squares support vector classification
published 2009 · Journal of Chemometrics · 12 citations
with Michiel Debruyne, Sven Serneels
Principal component regression for data containing outliers and missing elements
published 2009 · Computational Statistics & Data Analysis · 35 citations
with Sven Serneels
A Robustification of the Chain-Ladder Method
published 2009 · North American Actuarial Journal · 39 citations · first circulated 2007
Application of classical and robust chain-ladder methods: results for the Belgian non-life business
published 2009 · Global Business and Economics Review · 3 citations
with Martine Van Wouwe, Kristel Van Rompay
Robust PCA for skewed data and its outlier map
published 2008 · Computational Statistics & Data Analysis · 130 citations
with Mia Hubert, Peter J. Rousseeuw
Principal component analysis for data containing outliers and missing elements
published 2007 · Computational Statistics & Data Analysis · 173 citations
with Sven Serneels
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