Jakob Raymaekers

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Hard Thresholding

Dimensional Data

Top Venues

Decis. Support Syst.

Publications

Jakob Raymaekers, Peter J. Rousseeuw
Transforming variables to central normality. Mach. Learn. 113 (8) (2024)
Sarah Leyder, Jakob Raymaekers, Tim Verdonck
Generalized spherical principal component analysis. Stat. Comput. 34 (3) (2024)
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Fast linear model trees by PILOT. Mach. Learn. 113 (9) (2024)
Jakob Raymaekers, Ku Leuven
robslopes: Efficient Computation of the (Repeated) Median Slope. R J. 14 (4) (2023)
Thomas Servotte, Jakob Raymaekers, Tim Verdonck
Smart initialisation and approximating loss function for robust regression. Inf. Sci. 651 (2023)
Jolien Ponnet, Jakob Raymaekers, Tim Verdonck
Fast thresholded concordance probability for evolutionary optimization. Swarm Evol. Comput. 78 (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)
Jakob Raymaekers, Peter J. Rousseeuw
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. J. Comput. Graph. Stat. 31 (4) (2022)
Jakob Raymaekers, Ruben H. Zamar
Regularized K-means Through Hard-Thresholding. J. Mach. Learn. Res. 23 (2022)
Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
Class Maps for Visualizing Classification Results. Technometrics 64 (2) (2022)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. Appl. Soft Comput. 115 (2022)
Jakob Raymaekers, Peter J. Rousseeuw
Fast Robust Correlation for High-Dimensional Data. Technometrics 63 (2) (2021)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence 2.0 with shrinkage and spline-binning. CoRR (2021)
Jakob Raymaekers, Peter J. Rousseeuw
Handling Cellwise Outliers by Sparse Regression and Robust Covariance. J. Data Sci. Stat. Vis. 1 (3) (2021)
Jakob Raymaekers, Peter J. Rousseeuw
Silhouettes and quasi residual plots for neural nets and tree-based classifiers. CoRR (2021)
Jakob Raymaekers, Peter J. Rousseeuw
Transforming variables to central normality. CoRR (2020)
Nektar Xama, Jakob Raymaekers, Martin Andraud, Jhon Gomez, Wim Dobbelaere, Ronny Vanhooren, Anthony Coyette, Georges G. E. Gielen
Avoiding Mixed-Signal Field Returns by Outlier Detection of Hard-to-Detect Defects based on Multivariate Statistics. ETS (2020)
Jakob Raymaekers, Ruben H. Zamar
Regularized K-means through hard-thresholding. CoRR (2020)
Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Paula Brito, Vera Afreixo
Clustering genomic words in human DNA using peaks and trends of distributions. Adv. Data Anal. Classif. 14 (1) (2020)
Jakob Raymaekers, Ruben H. Zamar
Pooled variable scaling for cluster analysis. Bioinform. 36 (12) (2020)
Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
Visualizing classification results. CoRR (2020)
Jakob Raymaekers, Peter J. Rousseeuw
A generalized spatial sign covariance matrix. J. Multivar. Anal. 171 (2019)
Jakob Raymaekers, Peter J. Rousseeuw, Iwein Vranckx
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27 (4) (2018)
Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Raquel M. Silva, Carlos A. C. Bastos, Armando J. Pinho, Paula Brito, Vera Afreixo
Dissimilar Symmetric Word Pairs in the Human Genome. PACBB (2017)