Dissimilar Symmetric Word Pairs in the Human Genome. - Ana Helena Tavares; Jakob Raymaekers; Peter J. Rousseeuw; Raquel M. Silva; Carlos A. C. Bastos; Armando J. Pinho; Paula Brito; Vera Afreixo (PACBB, 2017)

Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". - Jakob Raymaekers; Peter J. Rousseeuw; Iwein Vranckx (Stat. Methods Appl., 2018)

A generalized spatial sign covariance matrix. - Jakob Raymaekers; Peter J. Rousseeuw (J. Multivar. Anal., 2019)

Avoiding Mixed-Signal Field Returns by Outlier Detection of Hard-to-Detect Defects based on Multivariate Statistics. - Nektar Xama; Jakob Raymaekers; Martin Andraud; Jhon Gomez; Wim Dobbelaere; Ronny Vanhooren; Anthony Coyette; Georges G. E. Gielen (ETS, 2020)

Clustering genomic words in human DNA using peaks and trends of distributions. - Ana Helena Tavares; Jakob Raymaekers; Peter J. Rousseeuw; Paula Brito; Vera Afreixo (Adv. Data Anal. Classif., 2020)

Pooled variable scaling for cluster analysis. - Jakob Raymaekers; Ruben H. Zamar (Bioinform., 2020)

Visualizing classification results. - Jakob Raymaekers; Peter J. Rousseeuw; Mia Hubert (CoRR, 2020)

Weight-of-evidence 2.0 with shrinkage and spline-binning. - Jakob Raymaekers; Wouter Verbeke; Tim Verdonck (CoRR, 2021)

Handling Cellwise Outliers by Sparse Regression and Robust Covariance. - Jakob Raymaekers; Peter J. Rousseeuw (J. Data Sci. Stat. Vis., 2021)

Fast Robust Correlation for High-Dimensional Data. - Jakob Raymaekers; Peter J. Rousseeuw (Technometrics, 2021)

Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. - Jakob Raymaekers; Wouter Verbeke; Tim Verdonck (Appl. Soft Comput., 2022)

Regularized K-means Through Hard-Thresholding. - Jakob Raymaekers; Ruben H. Zamar (J. Mach. Learn. Res., 2022)

Class Maps for Visualizing Classification Results. - Jakob Raymaekers; Peter J. Rousseeuw; Mia Hubert (Technometrics, 2022)

Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. - Jakob Raymaekers; Peter J. Rousseeuw (J. Comput. Graph. Stat., 2022)

Fast thresholded concordance probability for evolutionary optimization. - Jolien Ponnet; Jakob Raymaekers; Tim Verdonck (Swarm Evol. Comput., 2023)

robslopes: Efficient Computation of the (Repeated) Median Slope. - Jakob Raymaekers; Ku Leuven (R J., 2023)

Interpretable cost-sensitive regression through one-step boosting. - Thomas Decorte; Jakob Raymaekers; Tim Verdonck (Decis. Support Syst., 2023)

Smart initialisation and approximating loss function for robust regression. - Thomas Servotte; Jakob Raymaekers; Tim Verdonck (Inf. Sci., 2023)

Generalized spherical principal component analysis. - Sarah Leyder; Jakob Raymaekers; Tim Verdonck (Stat. Comput., 2024)

Transforming variables to central normality. - Jakob Raymaekers; Peter J. Rousseeuw (Mach. Learn., 2024)

Fast linear model trees by PILOT. - Jakob Raymaekers; Peter J. Rousseeuw; Tim Verdonck; Ruicong Yao (Mach. Learn., 2024)

Differentiable Causal Structure Learning with Identifiability by NOTIME. - Jeroen Berrevoets; Jakob Raymaekers; Mihaela van der Schaar; Tim Verdonck; Ruicong Yao (AISTATS, 2025)

Causal discovery in mixed additive noise models. - Ruicong Yao; Tim Verdonck; Jakob Raymaekers (AISTATS, 2025)

TSLiNGAM: DirectLiNGAM Under Heavy Tails. - Sarah Leyder; Jakob Raymaekers; Tim Verdonck (J. Comput. Graph. Stat., 2025)

A Powerful Random Forest Featuring Linear Extensions (RaFFLE). - Jakob Raymaekers; Peter J. Rousseeuw; Thomas Servotte; Tim Verdonck; Ruicong Yao (CoRR, 2025)

Independent Component Analysis by Robust Distance Correlation. - Sarah Leyder; Jakob Raymaekers; Peter J. Rousseeuw; Tom Van Deuren; Tim Verdonck (CoRR, 2025)