Tim Verdonck - RankMe

72 papers A* 1A 2Journal 63Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diverse ensemble cost-sensitive logistic regression. Eur. J. Oper. Res. Bing Yang, Stefan Van Aelst, Tim Verdonck
2025	J	`jnl`	A Powerful Random Forest Featuring Linear Extensions (RaFFLE). CoRR Jakob Raymaekers, Peter J. Rousseeuw, Thomas Servotte, Tim Verdonck, Ruicong Yao
2025	J	`jnl`	Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review. CoRR Bruno Deprez, Wei Wei, Wouter Verbeke, Bart Baesens, Kevin Mets, Tim Verdonck
2025	A*	`conf`	AutoCATE: End-to-End, Automated Treatment Effect Estimation. ICML Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar, Wouter Verbeke
2025	J	`jnl`	Can causal machine learning reveal individual bid responses of bank customers? - A study on mortgage loan applications in Belgium. Decis. Support Syst. Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
2025	A	`conf`	Causal discovery in mixed additive noise models. AISTATS Ruicong Yao, Tim Verdonck, Jakob Raymaekers
2025	A	`conf`	Differentiable Causal Structure Learning with Identifiability by NOTIME. AISTATS Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao
2025	J	`jnl`	Enhancing explainability in real-world scenarios: Towards a robust stability measure for local interpretability. Expert Syst. Appl. Eduardo Sepúlveda, Félix Vandervorst, Bart Baesens, Tim Verdonck
2025	J	`jnl`	GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering. CoRR Bruno Deprez, Bart Baesens, Tim Verdonck, Wouter Verbeke
2025	J	`jnl`	Independent Component Analysis by Robust Distance Correlation. CoRR Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw, Tom Van Deuren, Tim Verdonck
2025	J	`jnl`	Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection. CoRR Félix Vandervorst, Bruno Deprez, Wouter Verbeke, Tim Verdonck
2025	J	`jnl`	On the causality-preservation capabilities of generative modelling. J. Comput. Appl. Math. Yves-Cédric Bauwelinckx, Jan Dhaene, Milan van den Heuvel, Tim Verdonck
2025	J	`jnl`	TSLiNGAM: DirectLiNGAM Under Heavy Tails. J. Comput. Graph. Stat. Sarah Leyder, Jakob Raymaekers, Tim Verdonck
2025	J	`jnl`	Using representation balancing to learn conditional-average dose responses from clustered data. Trans. Mach. Learn. Res. Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Claims fraud detection with uncertain labels. Adv. Data Anal. Classif. Félix Vandervorst, Wouter Verbeke, Tim Verdonck
2024	J	`jnl`	Co-clustering contaminated data: a robust model-based approach. Adv. Data Anal. Classif. Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck
2024	J	`jnl`	Computational Efficient Approximations of the Concordance Probability in a Big Data Setting. Big Data Robin Van Oirbeek, Jolien Ponnet, Bart Baesens, Tim Verdonck
2024	J	`jnl`	Fast linear model trees by PILOT. Mach. Learn. Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
2024	J	`jnl`	Generalized spherical principal component analysis. Stat. Comput. Sarah Leyder, Jakob Raymaekers, Tim Verdonck
2024	J	`jnl`	Global Crop-Specific Fertilization Dataset from 1961-2019. CoRR Fernando Coello, Thomas Decorte, Iris Janssens, Steven Mortier, Jordi Sardans, Josep Peñuelas, Tim Verdonck
2024	J	`jnl`	Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. Ecol. Informatics Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
2024	J	`jnl`	Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring. Sensors Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, Filip J. R. Meysman, Steven Latré, Erik Mannens, Tim Verdonck
2024	J	`jnl`	Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Robust and sparse logistic regression. Adv. Data Anal. Classif. Dries Cornilly, Lise Tubex, Stefan Van Aelst, Tim Verdonck
2024	J	`jnl`	Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation. CoRR Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Special issue on feature engineering editorial. Mach. Learn. Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
2023	J	`jnl`	A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions. CoRR Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
2023	J	`jnl`	Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography. Sensors Steven Mortier, Renata Turkes, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck
2023	J	`jnl`	Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. Data Min. Knowl. Discov. Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré
2023	J	`jnl`	Fast Linear Model Trees by PILOT. CoRR Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
2023	J	`jnl`	Fast thresholded concordance probability for evolutionary optimization. Swarm Evol. Comput. Jolien Ponnet, Jakob Raymaekers, Tim Verdonck
2023	J	`jnl`	Fraud analytics: A decade of research: Organizing challenges and solutions in the field. Expert Syst. Appl. Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
2023	J	`jnl`	Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. CoRR Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
2023	J	`jnl`	Interpretable cost-sensitive regression through one-step boosting. Decis. Support Syst. Thomas Decorte, Jakob Raymaekers, Tim Verdonck
2023	J	`jnl`	Learning continuous-valued treatment effects through representation balancing. CoRR Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
2023	J	`jnl`	On the causality-preservation capabilities of generative modelling. CoRR Yves-Cédric Bauwelinckx, Jan Dhaene, Tim Verdonck, Milan van den Heuvel
2023	—	`conf`	Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification. IWAIPR Ireimis Leguen-devarona, Julio Madera, Héctor R. Gonzalez, Lise Tubex, Tim Verdonck
2023	J	`jnl`	Regularization oversampling for classification tasks: To exploit what you do not know. Inf. Sci. Lennert Van der Schraelen, Kristof Stouthuysen, Seppe K. L. M. vanden Broucke, Tim Verdonck
2023	J	`jnl`	Robust instance-dependent cost-sensitive classification. Adv. Data Anal. Classif. Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
2023	J	`jnl`	Smart initialisation and approximating loss function for robust regression. Inf. Sci. Thomas Servotte, Jakob Raymaekers, Tim Verdonck
2023	J	`jnl`	Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. CoRR Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms
2023	J	`jnl`	direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods. SoftwareX Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck
2022	J	`jnl`	A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2022	J	`jnl`	Data misrepresentation detection for insurance underwriting fraud prevention. Decis. Support Syst. Félix Vandervorst, Wouter Verbeke, Tim Verdonck
2022	J	`jnl`	Fraud Analytics: A Decade of Research - Organizing Challenges and Solutions in the Field. CoRR Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
2022	J	`jnl`	Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur. J. Oper. Res. Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
2022	—	`conf`	Instance-dependent cost-sensitive learning: do we really need it? HICSS Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
2022	—	`conf`	Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens
2022	J	`jnl`	Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
2022	J	`jnl`	Prescriptive maintenance with causal machine learning. CoRR Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
2022	J	`jnl`	Sparse dimension reduction based on energy and ball statistics. Adv. Data Anal. Classif. Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck
2022	J	`jnl`	Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. Appl. Soft Comput. Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
2021	J	`jnl`	Data engineering for fraud detection. Decis. Support Syst. Bart Baesens, Sebastiaan Höppner, Tim Verdonck
2021	J	`jnl`	Weight-of-evidence 2.0 with shrinkage and spline-binning. CoRR Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
2020	—	`conf`	A Machine Learning Approach for Road Cycling Race Performance Prediction. MLSA@PKDD/ECML Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré
2020	J	`jnl`	Cellwise robust M regression. Comput. Stat. Data Anal. Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck
2020	J	`jnl`	Profit driven decision trees for churn prediction. Eur. J. Oper. Res. Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2020	J	`jnl`	The minimum regularized covariance determinant estimator. Stat. Comput. Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck
2020	J	`jnl`	robROSE: A robust approach for dealing with imbalanced data in fraud detection. CoRR Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck
2019	J	`jnl`	Outlyingness: Which variables contribute most? Stat. Comput. Michiel Debruyne, Sebastiaan Höppner, Sven Serneels, Tim Verdonck
2017	J	`jnl`	Fast robust SUR with economical and actuarial applications. Stat. Anal. Data Min. Mia Hubert, Tim Verdonck, Özlem Yorulmaz
2017	J	`jnl`	Profit Driven Decision Trees for Churn Prediction. CoRR Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2016	J	`jnl`	Sparse PCA for High-Dimensional Data With Outliers. Technometrics Mia Hubert, Tom Reynkens, Eric Schmitt, Tim Verdonck
2015	J	`jnl`	The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck
2014	J	`jnl`	Precision of power-law NHPP estimates for multiple systems with known failure rate scaling. Reliab. Eng. Syst. Saf. Jozef Van Dyck, Tim Verdonck
2011	—	`conf`	Comparing Mining Algorithms for Predicting the Severity of a Reported Bug. CSMR Ahmed Lamkanfi, Serge Demeyer, Quinten David Soetens, Tim Verdonck
2010	—	`conf`	DetMCD in a Calibration Framework. COMPSTAT Tim Verdonck, Mia Hubert, Peter J. Rousseeuw
2010	J	`jnl`	Robust kernel principal component analysis and classification. Adv. Data Anal. Classif. Michiel Debruyne, Tim Verdonck
2009	J	`jnl`	Principal component regression for data containing outliers and missing elements. Comput. Stat. Data Anal. Sven Serneels, Tim Verdonck
2009	J	`jnl`	Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. Mia Hubert, Peter J. Rousseeuw, Tim Verdonck
2008	J	`jnl`	Principal component analysis for data containing outliers and missing elements. Comput. Stat. Data Anal. Sven Serneels, Tim Verdonck