| A measure of directional outlyingness with applications to image data and video PJ Rousseeuw, J Raymaekers, M Hubert Journal of Computational and Graphical Statistics 27 (2), 345-359, 2018 | 43 | 2018 |
| Transforming variables to central normality J Raymaekers, PJ Rousseeuw Machine Learning, 1-23, 2021 | 23 | 2021 |
| Fast robust correlation for high-dimensional data J Raymaekers, PJ Rousseeuw Technometrics 63 (2), 184-198, 2021 | 18 | 2021 |
| cellWise: Analyzing data with cellwise outliers J Raymaekers, P Rousseeuw, W Van den Bossche, M Hubert CRAN, R package version 2 (0), 467, 2019 | 16 | 2019 |
| A generalized spatial sign covariance matrix J Raymaekers, P Rousseeuw Journal of Multivariate Analysis 171, 94-111, 2019 | 13 | 2019 |
| Finding outliers in surface data and video M Hubert, J Raymaekers, PJ Rousseeuw, P Segaert arXiv preprint arXiv:1601.08133, 2016 | 8 | 2016 |
| Real-time outlier detection for large datasets by RT-DetMCD B De Ketelaere, M Hubert, J Raymaekers, PJ Rousseeuw, I Vranckx Chemometrics and Intelligent Laboratory Systems 199, 103957, 2020 | 6 | 2020 |
| Real-time discriminant analysis in the presence of label and measurement noise I Vranckx, J Raymaekers, B De Ketelaere, PJ Rousseeuw, M Hubert Chemometrics and Intelligent Laboratory Systems 208, 104197, 2021 | 5 | 2021 |
| Flagging and handling cellwise outliers by robust estimation of a covariance matrix J Raymaekers, PJ Rousseeuw arXiv preprint arXiv:1912.12446, 2019 | 3 | 2019 |
| Dissimilar symmetric word pairs in the human genome AH Tavares, J Raymaekers, PJ Rousseeuw, RM Silva, CAC Bastos, ... International Conference on Practical Applications of Computational Biology …, 2017 | 3 | 2017 |
| Class maps for visualizing classification results J Raymaekers, PJ Rousseeuw, M Hubert Technometrics, 1-15, 2021 | 2 | 2021 |
| Visualizing classification results J Raymaekers, PJ Rousseeuw, M Hubert stat 1050, 27, 2020 | 2 | 2020 |
| Avoiding Mixed-Signal Field Returns by Outlier Detection of Hard-to-Detect Defects based on Multivariate Statistics N Xama, J Raymaekers, M Andraud, J Gomez, W Dobbelaere, ... 2020 IEEE European Test Symposium (ETS), 1-6, 2020 | 2 | 2020 |
| Clustering genomic words in human DNA using peaks and trends of distributions AH Tavares, J Raymaekers, PJ Rousseeuw, P Brito, V Afreixo Advances in Data Analysis and Classification 14 (1), 57-76, 2020 | 2 | 2020 |
| Handling cellwise outliers by sparse regression and robust covariance J Raymaekers, PJ Rousseeuw arXiv preprint arXiv:1912.12446, 2019 | 2 | 2019 |
| Comparing reverse complementary genomic words based on their distance distributions and frequencies AH Tavares, J Raymaekers, PJ Rousseeuw, RM Silva, CAC Bastos, ... Interdisciplinary Sciences: Computational Life Sciences 10 (1), 1-11, 2018 | 2 | 2018 |
| Pooled variable scaling for cluster analysis J Raymaekers, RH Zamar Bioinformatics 36 (12), 3849-3855, 2020 | 1 | 2020 |
| CellWise J Raymaekers, P Rousseeuw, M Hubert, W Van den Bossche CRAN; https://cran. r-project. org/web/packages/cellWise/index. html, 2019 | 1 | 2019 |
| Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” J Raymaekers, PJ Rousseeuw, I Vranckx Statistical Methods & Applications 27 (4), 589-594, 2018 | 1 | 2018 |
| Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” J Raymaekers, PJ Rousseeuw, I Vranckx Statistical Methods & Applications 27 (4), 589-594, 2018 | 1 | 2018 |
Peter RousseeuwKU Leuven, BelgiumVerified email at rousseeuw.net
