Jakob Raymaekers

According to our database, Jakob Raymaekers authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Smart initialisation and approximating loss function for robust regression.

Thomas Servotte, Jakob Raymaekers, Tim Verdonck

Inf. Sci., December, 2023

Interpretable cost-sensitive regression through one-step boosting.

Thomas Decorte, Jakob Raymaekers, Tim Verdonck

Decis. Support Syst., December, 2023

robslopes: Efficient Computation of the (Repeated) Median Slope.

Jakob Raymaekers, Ku Leuven

R J., February, 2023

Fast thresholded concordance probability for evolutionary optimization.

Jolien Ponnet, Jakob Raymaekers, Tim Verdonck

Swarm Evol. Comput., 2023

Fast Linear Model Trees by PILOT.

Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao

CoRR, 2023

2022

Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers.

Jakob Raymaekers, Peter J. Rousseeuw

J. Comput. Graph. Stat., October, 2022

Class Maps for Visualizing Classification Results.

Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert

Technometrics, 2022

Regularized K-means Through Hard-Thresholding.

Jakob Raymaekers, Ruben H. Zamar

J. Mach. Learn. Res., 2022

Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification.

Jakob Raymaekers, Wouter Verbeke, Tim Verdonck

Appl. Soft Comput., 2022

2021

Fast Robust Correlation for High-Dimensional Data.

Jakob Raymaekers, Peter J. Rousseeuw

Technometrics, 2021

Handling Cellwise Outliers by Sparse Regression and Robust Covariance.

Jakob Raymaekers, Peter J. Rousseeuw

J. Data Sci. Stat. Vis., 2021

Weight-of-evidence 2.0 with shrinkage and spline-binning.

Jakob Raymaekers, Wouter Verbeke, Tim Verdonck

CoRR, 2021

2020

Visualizing classification results.

Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert

CoRR, 2020

Transforming variables to central normality.

Jakob Raymaekers, Peter J. Rousseeuw

CoRR, 2020

Pooled variable scaling for cluster analysis.

Jakob Raymaekers, Ruben H. Zamar

Bioinform., 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

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

Proceedings of the IEEE European Test Symposium, 2020

2019

A generalized spatial sign covariance matrix.

Jakob Raymaekers, Peter J. Rousseeuw

J. Multivar. Anal., 2019

2018

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

2017

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

Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017