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Jakob Raymaekers
Person information
- affiliation: Catholic University of Leuven, Department of Mathematics, Belgium
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2020 – today
- 2024
- [j16]Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao:
Fast linear model trees by PILOT. Mach. Learn. 113(9): 6561-6610 (2024) - [j15]Sarah Leyder, Jakob Raymaekers, Tim Verdonck:
Generalized spherical principal component analysis. Stat. Comput. 34(3): 104 (2024) - 2023
- [j14]Thomas Decorte
, Jakob Raymaekers
, Tim Verdonck
:
Interpretable cost-sensitive regression through one-step boosting. Decis. Support Syst. 175: 114024 (2023) - [j13]Thomas Servotte
, Jakob Raymaekers
, Tim Verdonck
:
Smart initialisation and approximating loss function for robust regression. Inf. Sci. 651: 119715 (2023) - [j12]Jakob Raymaekers, Ku Leuven:
robslopes: Efficient Computation of the (Repeated) Median Slope. R J. 14(4): 38-49 (2023) - [j11]Jolien Ponnet
, Jakob Raymaekers
, Tim Verdonck
:
Fast thresholded concordance probability for evolutionary optimization. Swarm Evol. Comput. 78: 101260 (2023) - [i6]Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao:
Fast Linear Model Trees by PILOT. CoRR abs/2302.03931 (2023) - 2022
- [j10]Jakob Raymaekers
, Wouter Verbeke
, Tim Verdonck
:
Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. Appl. Soft Comput. 115: 108160 (2022) - [j9]Jakob Raymaekers
, Peter J. Rousseeuw
:
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. J. Comput. Graph. Stat. 31(4): 1332-1343 (2022) - [j8]Jakob Raymaekers, Ruben H. Zamar:
Regularized K-means Through Hard-Thresholding. J. Mach. Learn. Res. 23: 93:1-93:48 (2022) - [j7]Jakob Raymaekers
, Peter J. Rousseeuw
, Mia Hubert
:
Class Maps for Visualizing Classification Results. Technometrics 64(2): 151-165 (2022) - 2021
- [j6]Jakob Raymaekers
, Peter J. Rousseeuw
:
Handling Cellwise Outliers by Sparse Regression and Robust Covariance. J. Data Sci. Stat. Vis. 1(3) (2021) - [j5]Jakob Raymaekers
, Peter J. Rousseeuw
:
Fast Robust Correlation for High-Dimensional Data. Technometrics 63(2): 184-198 (2021) - [i5]Jakob Raymaekers, Wouter Verbeke, Tim Verdonck:
Weight-of-evidence 2.0 with shrinkage and spline-binning. CoRR abs/2101.01494 (2021) - [i4]Jakob Raymaekers, Peter J. Rousseeuw:
Silhouettes and quasi residual plots for neural nets and tree-based classifiers. CoRR abs/2106.08814 (2021) - 2020
- [j4]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): 57-76 (2020) - [j3]Jakob Raymaekers
, Ruben H. Zamar:
Pooled variable scaling for cluster analysis. Bioinform. 36(12): 3849-3855 (2020) - [c2]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: 1-6 - [i3]Jakob Raymaekers, Peter J. Rousseeuw:
Transforming variables to central normality. CoRR abs/2005.07946 (2020) - [i2]Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Visualizing classification results. CoRR abs/2007.14495 (2020) - [i1]Jakob Raymaekers, Ruben H. Zamar:
Regularized K-means through hard-thresholding. CoRR abs/2010.00950 (2020)
2010 – 2019
- 2019
- [j2]Jakob Raymaekers
, Peter J. Rousseeuw
:
A generalized spatial sign covariance matrix. J. Multivar. Anal. 171: 94-111 (2019) - 2018
- [j1]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): 589-594 (2018) - 2017
- [c1]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: 248-256
Coauthor Index
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last updated on 2024-08-13 20:45 CEST by the dblp team
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