| Comparing mining algorithms for predicting the severity of a reported bug A Lamkanfi, S Demeyer, QD Soetens, T Verdonck 2011 15th European Conference on Software Maintenance and Reengineering, 249-258, 2011 | 290 | 2011 |
| Principal component analysis for data containing outliers and missing elements S Serneels, T Verdonck Computational Statistics & Data Analysis 52 (3), 1712-1727, 2008 | 187 | 2008 |
| A deterministic algorithm for robust location and scatter M Hubert, PJ Rousseeuw, T Verdonck Journal of Computational and Graphical Statistics 21 (3), 618-637, 2012 | 166 | 2012 |
| Robust sparse principal component analysis C Croux, P Filzmoser, H Fritz Technometrics 55 (2), 202-214, 2013 | 154 | 2013 |
| Data engineering for fraud detection B Baesens, S Höppner, T Verdonck Decision Support Systems 150, 113492, 2021 | 143 | 2021 |
| Robust PCA for skewed data and its outlier map M Hubert, P Rousseeuw, T Verdonck Computational Statistics & Data Analysis 53 (6), 2264-2274, 2009 | 141 | 2009 |
| Profit driven decision trees for churn prediction S Höppner, E Stripling, B Baesens, S vanden Broucke, T Verdonck European journal of operational research 284 (3), 920-933, 2020 | 130 | 2020 |
| The minimum regularized covariance determinant estimator K Boudt, PJ Rousseeuw, S Vanduffel, T Verdonck Statistics and Computing 30 (1), 113-128, 2020 | 106 | 2020 |
| Special issue on feature engineering editorial T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke Machine learning 113 (7), 3917-3928, 2024 | 100 | 2024 |
| Sparse PCA for high-dimensional data with outliers M Hubert, T Reynkens, E Schmitt, T Verdonck Technometrics 58 (4), 424-434, 2016 | 78 | 2016 |
| Instance-dependent cost-sensitive learning for detecting transfer fraud S Höppner, B Baesens, W Verbeke, T Verdonck European Journal of Operational Research 297 (1), 291-300, 2022 | 66 | 2022 |
| Optimal risk transfer under quantile-based risk measurers AV Asimit, AM Badescu, T Verdonck Insurance: Mathematics and Economics 53 (1), 252-265, 2013 | 63 | 2013 |
| A robustification of the chain-ladder method T Verdonck, M Van Wouwe, J Dhaene North American Actuarial Journal 13 (2), 280-298, 2009 | 61 | 2009 |
| Robust kernel principal component analysis and classification M Debruyne, T Verdonck Advances in Data Analysis and Classification 4 (2), 151-167, 2010 | 60 | 2010 |
| Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies T Vanderschueren, T Verdonck, B Baesens, W Verbeke Information Sciences 594, 400-415, 2022 | 50 | 2022 |
| A coskewness shrinkage approach for estimating the skewness of linear combinations of random variables K Boudt, D Cornilly, T Verdonck Journal of Financial Econometrics 18 (1), 1-23, 2020 | 42 | 2020 |
| The influence of individual claims on the chain-ladder estimates: Analysis and diagnostic tool T Verdonck, M Debruyne Insurance: Mathematics and Economics 48 (1), 85-98, 2011 | 35 | 2011 |
| Principal component regression for data containing outliers and missing elements S Serneels, T Verdonck Computational statistics & data analysis 53 (11), 3855-3863, 2009 | 33 | 2009 |
| robROSE: A robust approach for dealing with imbalanced data in fraud detection B Baesens, S Höppner, I Ortner, T Verdonck Statistical Methods & Applications 30 (3), 841-861, 2021 | 28 | 2021 |
| The DetS and DetMM estimators for multivariate location and scatter M Hubert, P Rousseeuw, D Vanpaemel, T Verdonck Computational Statistics & Data Analysis 81, 64-75, 2015 | 27 | 2015 |
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
