Peter J. Rousseeuw

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 25

Top Topics

Outlier Detection

Detecting Outliers

Sparse Regression

Top Venues

Stat. Methods Appl.

Publications

Jakob Raymaekers, Peter J. Rousseeuw
Transforming variables to central normality. Mach. Learn. 113 (8) (2024)
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Fast linear model trees by PILOT. Mach. Learn. 113 (9) (2024)
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
Fast Linear Model Trees by PILOT. CoRR (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, Peter J. Rousseeuw, Mia Hubert
Class Maps for Visualizing Classification Results. Technometrics 64 (2) (2022)
Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
Outlier detection in non-elliptical data by kernel MRCD. Stat. Comput. 31 (5) (2021)
Jakob Raymaekers, Peter J. Rousseeuw
Fast Robust Correlation for High-Dimensional Data. Technometrics 63 (2) (2021)
Erich Schubert, Peter J. Rousseeuw
Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. 101 (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)
Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck
The minimum regularized covariance determinant estimator. Stat. Comput. 30 (1) (2020)
Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
Outlier detection in non-elliptical data by kernel MRCD. 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, Peter J. Rousseeuw, Mia Hubert
Visualizing classification results. CoRR (2020)
Erich Schubert, Peter J. Rousseeuw
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. CoRR (2020)
Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche
MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. Technometrics 61 (4) (2019)
Jakob Raymaekers, Peter J. Rousseeuw
A generalized spatial sign covariance matrix. J. Multivar. Anal. 171 (2019)
Erich Schubert, Peter J. Rousseeuw
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP (2019)
Erich Schubert, Peter J. Rousseeuw
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. CoRR (2018)
Peter J. Rousseeuw, Mia Hubert
Anomaly detection by robust statistics. WIREs Data Mining Knowl. Discov. 8 (2) (2018)
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)
Peter J. Rousseeuw, Wannes Van Den Bossche
Detecting Deviating Data Cells. Technometrics 60 (2) (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)
Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
Multivariate and functional classification using depth and distance. Adv. Data Anal. Classif. 11 (3) (2017)
Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
Multivariate functional outlier detection. Stat. Methods Appl. 24 (2) (2015)
Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
Rejoinder to 'multivariate functional outlier detection'. Stat. Methods Appl. 24 (2) (2015)
Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck
The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. 81 (2015)
Peter J. Rousseeuw, Mia Hubert
Robust statistics for outlier detection. WIREs Data Mining Knowl. Discov. 1 (1) (2011)
Tim Verdonck, Mia Hubert, Peter J. Rousseeuw
DetMCD in a Calibration Framework. COMPSTAT (2010)
Marco Riani, Andrea Cerioli, Peter J. Rousseeuw
Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. Adv. Data Anal. Classif. 4 (2-3) (2010)
Mia Hubert, Peter J. Rousseeuw, Tim Verdonck
Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. 53 (6) (2009)
Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann
Efficient Algorithms for Maximum Regression Depth. Discret. Comput. Geom. 39 (4) (2008)
Peter J. Rousseeuw, Katrien van Driessen
Computing LTS Regression for Large Data Sets. Data Min. Knowl. Discov. 12 (1) (2006)
Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden
ROBPCA: A New Approach to Robust Principal Component Analysis. Technometrics 47 (1) (2005)
Peter J. Rousseeuw, Stefan Van Aelst, Katrien van Driessen, Jose A. Gulló
Robust Multivariate Regression. Technometrics 46 (3) (2004)
Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw
Fitting multiplicative models by robust alternating regressions. Stat. Comput. 13 (1) (2003)
Peter J. Rousseeuw, Andreas Christmann
Robustness against separation and outliers in logistic regression. Comput. Stat. Data Anal. 43 (3) (2003)
Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf
Efficient computation of location depth contours by methods of computational geometry. Stat. Comput. 13 (2) (2003)
Annie A. M. Cuyt, R. B. Lenin, Gert Willems, Chris Blondia, Peter J. Rousseeuw
Computing Packet Loss Probabilities in Multiplexer Models Using Rational Approximation. IEEE Trans. Computers 52 (5) (2003)
Christophe Croux, Gentiane Haesbroeck, Peter J. Rousseeuw
Location adjustment for the minimum volume ellipsoid estimator. Stat. Comput. 12 (3) (2002)
Gert Willems, G. Pison, Peter J. Rousseeuw, Stefan Van Aelst
A Hotelling Test Based on MCD. COMPSTAT (2002)
Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf
Fast implementation of depth contours using topological sweep. SODA (2001)
Peter J. Rousseeuw, Mia Hubert
Depth in an Arrangement of Hyperplanes. Discret. Comput. Geom. 22 (2) (1999)
Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann
Efficient Algorithms for Maximum Regression Depth. SCG (1999)
Peter J. Rousseeuw, Katrien van Driessen
A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics 41 (3) (1999)
Peter J. Rousseeuw, Stefan Van Aelst
The Deepest Fit. COMPSTAT (1998)
Peter J. Rousseeuw, Anja Struyf
Computing location depth and regression depth in higher dimensions. Stat. Comput. 8 (3) (1998)