Peter J. Rousseeuw

59 papers A* 1B 1Misc 1Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Powerful Random Forest Featuring Linear Extensions (RaFFLE). CoRR Jakob Raymaekers, Peter J. Rousseeuw, Thomas Servotte, Tim Verdonck, Ruicong Yao
2025	J	`jnl`	Cellwise and Casewise Robust Covariance in High Dimensions. CoRR Fabio Centofanti, Mia Hubert, Peter J. Rousseeuw
2025	J	`jnl`	Graphical tools for visualizing cellwise and casewise outliers. J. Data Sci. Stat. Vis. Mehdi Hirari, Mia Hubert, Peter J. Rousseeuw
2025	J	`jnl`	Independent Component Analysis by Robust Distance Correlation. CoRR Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw, Tom Van Deuren, Tim Verdonck
2025	J	`jnl`	Kernel Outlier Detection. CoRR Can Hakan Dagidir, Mia Hubert, Peter J. Rousseeuw
2025	J	`jnl`	Kernel outlier detection. J. Data Sci. Stat. Vis. Can Hakan Dagidir, Mia Hubert, Peter J. Rousseeuw
2025	J	`jnl`	Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation. J. Comput. Graph. Stat. Fabio Centofanti, Mia Hubert, Biagio Palumbo, Peter J. Rousseeuw
2024	J	`jnl`	Fast linear model trees by PILOT. Mach. Learn. Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
2024	J	`jnl`	Transforming variables to central normality. Mach. Learn. Jakob Raymaekers, Peter J. Rousseeuw
2023	J	`jnl`	Fast Linear Model Trees by PILOT. CoRR Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao
2022	J	`jnl`	Class Maps for Visualizing Classification Results. Technometrics Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
2022	J	`jnl`	Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. J. Comput. Graph. Stat. Jakob Raymaekers, Peter J. Rousseeuw
2021	J	`jnl`	Fast Robust Correlation for High-Dimensional Data. Technometrics Jakob Raymaekers, Peter J. Rousseeuw
2021	J	`jnl`	Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. Erich Schubert, Peter J. Rousseeuw
2021	J	`jnl`	Handling Cellwise Outliers by Sparse Regression and Robust Covariance. J. Data Sci. Stat. Vis. Jakob Raymaekers, Peter J. Rousseeuw
2021	J	`jnl`	Outlier detection in non-elliptical data by kernel MRCD. Stat. Comput. Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
2021	J	`jnl`	Silhouettes and quasi residual plots for neural nets and tree-based classifiers. CoRR Jakob Raymaekers, Peter J. Rousseeuw
2020	J	`jnl`	Clustering genomic words in human DNA using peaks and trends of distributions. Adv. Data Anal. Classif. Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Paula Brito, Vera Afreixo
2020	J	`jnl`	Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. CoRR Erich Schubert, Peter J. Rousseeuw
2020	J	`jnl`	Outlier detection in non-elliptical data by kernel MRCD. CoRR Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
2020	J	`jnl`	The minimum regularized covariance determinant estimator. Stat. Comput. Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck
2020	J	`jnl`	Transforming variables to central normality. CoRR Jakob Raymaekers, Peter J. Rousseeuw
2020	J	`jnl`	Visualizing classification results. CoRR Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
2019	J	`jnl`	A generalized spatial sign covariance matrix. J. Multivar. Anal. Jakob Raymaekers, Peter J. Rousseeuw
2019	B	`conf`	Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP Erich Schubert, Peter J. Rousseeuw
2019	J	`jnl`	MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. Technometrics Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche
2018	J	`jnl`	Anomaly detection by robust statistics. WIREs Data Mining Knowl. Discov. Peter J. Rousseeuw, Mia Hubert
2018	J	`jnl`	Detecting Deviating Data Cells. Technometrics Peter J. Rousseeuw, Wannes Van Den Bossche
2018	J	`jnl`	Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. Jakob Raymaekers, Peter J. Rousseeuw, Iwein Vranckx
2018	J	`jnl`	Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. CoRR Erich Schubert, Peter J. Rousseeuw
2017	Misc	`conf`	Dissimilar Symmetric Word Pairs in the Human Genome. PACBB Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Raquel M. Silva, Carlos A. C. Bastos, Armando J. Pinho, Paula Brito, Vera Afreixo
2017	J	`jnl`	Multivariate and functional classification using depth and distance. Adv. Data Anal. Classif. Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
2015	J	`jnl`	Multivariate functional outlier detection. Stat. Methods Appl. Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
2015	J	`jnl`	Rejoinder to 'multivariate functional outlier detection'. Stat. Methods Appl. Mia Hubert, Peter J. Rousseeuw, Pieter Segaert
2015	J	`jnl`	The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck
2011	—	`ch.`	Multivariate Techniques: Robustness. International Encyclopedia of Statistical Science Mia Hubert, Peter J. Rousseeuw
2011	J	`jnl`	Robust statistics for outlier detection. WIREs Data Mining Knowl. Discov. Peter J. Rousseeuw, Mia Hubert
2010	—	`conf`	DetMCD in a Calibration Framework. COMPSTAT Tim Verdonck, Mia Hubert, Peter J. Rousseeuw
2010	J	`jnl`	Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. Adv. Data Anal. Classif. Marco Riani, Andrea Cerioli, Peter J. Rousseeuw
2009	J	`jnl`	Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. Mia Hubert, Peter J. Rousseeuw, Tim Verdonck
2008	J	`jnl`	Efficient Algorithms for Maximum Regression Depth. Discret. Comput. Geom. Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann
2006	J	`jnl`	Computing LTS Regression for Large Data Sets. Data Min. Knowl. Discov. Peter J. Rousseeuw, Katrien van Driessen
2005	J	`jnl`	ROBPCA: A New Approach to Robust Principal Component Analysis. Technometrics Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden
2004	—	`ch.`	Computation of robust statistics. Handbook of Discrete and Computational Geometry, 2nd Ed. Peter J. Rousseeuw, Anja Struyf
2004	J	`jnl`	Robust Multivariate Regression. Technometrics Peter J. Rousseeuw, Stefan Van Aelst, Katrien van Driessen, Jose A. Gulló
2003	J	`jnl`	Computing Packet Loss Probabilities in Multiplexer Models Using Rational Approximation. IEEE Trans. Computers Annie A. M. Cuyt, R. B. Lenin, Gert Willems, Chris Blondia, Peter J. Rousseeuw
2003	J	`jnl`	Efficient computation of location depth contours by methods of computational geometry. Stat. Comput. Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf
2003	J	`jnl`	Fitting multiplicative models by robust alternating regressions. Stat. Comput. Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw
2003	J	`jnl`	Robustness against separation and outliers in logistic regression. Comput. Stat. Data Anal. Peter J. Rousseeuw, Andreas Christmann
2002	—	`conf`	A Hotelling Test Based on MCD. COMPSTAT Gert Willems, G. Pison, Peter J. Rousseeuw, Stefan Van Aelst
2002	J	`jnl`	Location adjustment for the minimum volume ellipsoid estimator. Stat. Comput. Christophe Croux, Gentiane Haesbroeck, Peter J. Rousseeuw
2001	A*	`conf`	Fast implementation of depth contours using topological sweep. SODA Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf
1999	J	`jnl`	A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics Peter J. Rousseeuw, Katrien van Driessen
1999	J	`jnl`	Depth in an Arrangement of Hyperplanes. Discret. Comput. Geom. Peter J. Rousseeuw, Mia Hubert
1999	—	`conf`	Efficient Algorithms for Maximum Regression Depth. SCG Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann
1998	J	`jnl`	Computing location depth and regression depth in higher dimensions. Stat. Comput. Peter J. Rousseeuw, Anja Struyf
1998	—	`conf`	The Deepest Fit. COMPSTAT Peter J. Rousseeuw, Stefan Van Aelst
1990	—	`book`	Finding Groups in Data: An Introduction to Cluster Analysis. Leonard Kaufman, Peter J. Rousseeuw
1987	—	`book`	Robust Regression and Outlier Detection Peter J. Rousseeuw, Annick Leroy