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Researcher
Peter Rousseeuw
- Disciplines:Statistics and numerical methods, Artificial intelligence
Affiliations
- Statistics and Data Science (Division)
Member
From1 Jul 2019 → 30 Sep 2022 - Statistics and Risk (Division)
Member
From1 Oct 2009 → 30 Jun 2019 - Leuven Statistics Research Centre (LStat) (Research institute)
Member
From1 Oct 2005 → 30 Sep 2006
Projects
1 - 5 of 5
- Computational challenges in robust statisticsFrom18 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Data science methods for business applicationsFrom21 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Robust nonparametric methods for functional dataFrom1 Oct 2016 → 21 Sep 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Statistical Methodology for Immense Lively Experiments (SMILE)From1 Oct 2015 → 30 Sep 2021Funding: BOF - Concerted Research Project from 1994
- New Statistical Methods for Complex DataFrom1 Oct 2013 → 30 Sep 2022Funding: BOF - ZAP BOF mandates
Publications
1 - 10 of 46
- Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers(2022)
Authors: Jakob Raymaekers, Peter Rousseeuw
Pages: 1332 - 1343 - Class Maps for Visualizing Classification Results(2022)
Authors: Jakob Raymaekers, Peter Rousseeuw, Mia Hubert
Pages: 151 - 165 - Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms(2021)
Authors: Peter Rousseeuw
- Outlier detection in non-elliptical data by kernel MRCD.(2021)
Authors: Joachim Schreurs, Mia Hubert, Johan Suykens, Peter Rousseeuw
- Handling Cellwise Outliers by Sparse Regression and Robust Covariance(2021)
Authors: Jakob Raymaekers, Peter Rousseeuw
Pages: 1 - 19 - Fast Robust Correlation for High-Dimensional Data(2021)
Authors: Jakob Raymaekers, Peter Rousseeuw
Pages: 184 - 198 - Real-time discriminant analysis in the presence of label and measurement noise(2021)
Authors: Jakob Raymaekers, Bart De Ketelaere, Peter Rousseeuw, Mia Hubert
- Development of real-time, robust statistical methods for novel applications in food sorting(2020)
Authors: Iwein Vranckx, Mia Hubert, Peter Rousseeuw, Bart De Ketelaere
- Robust nonparametric methods for functional data(2020)
Authors: Ioannis Kalogridis, Stefan Van Aelst, Peter Rousseeuw
- Real-time outlier detection for large datasets by RT-DetMCD(2020)
Authors: Bart De Ketelaere, Mia Hubert, Jakob Raymaekers, Peter Rousseeuw, Iwein Vranckx
Pages: 1 - 10