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Tim Verdonck
Tim Verdonck
Professor Statistics and Data Science, UAntwerp
Verified email at uantwerpen.be - Homepage
Title
Cited by
Cited by
Year
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
2832011
Principal component analysis for data containing outliers and missing elements
S Serneels, T Verdonck
Computational Statistics & Data Analysis 52 (3), 1712-1727, 2008
1782008
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
1512012
Robust sparse principal component analysis
C Croux, P Filzmoser, H Fritz
Technometrics 55 (2), 202-214, 2013
1422013
Robust PCA for skewed data and its outlier map
M Hubert, P Rousseeuw, T Verdonck
Computational Statistics & Data Analysis 53 (6), 2264-2274, 2009
1392009
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
1112020
Data engineering for fraud detection
B Baesens, S Höppner, T Verdonck
Decision Support Systems 150, 113492, 2021
1032021
The minimum regularized covariance determinant estimator
K Boudt, PJ Rousseeuw, S Vanduffel, T Verdonck
Statistics and computing 30 (1), 113-128, 2020
842020
Special issue on feature engineering editorial
T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke
Machine Learning, 1-12, 2021
692021
Sparse PCA for high-dimensional data with outliers
M Hubert, T Reynkens, E Schmitt, T Verdonck
Technometrics 58 (4), 424-434, 2016
652016
Optimal risk transfer under quantile-based risk measurers
AV Asimit, AM Badescu, T Verdonck
Insurance: Mathematics and Economics 53 (1), 252-265, 2013
622013
A robustification of the chain-ladder method
T Verdonck, M Van Wouwe, J Dhaene
North American Actuarial Journal 13 (2), 280-298, 2009
602009
Robust kernel principal component analysis and classification
M Debruyne, T Verdonck
Advances in Data Analysis and Classification 4 (2), 151-167, 2010
592010
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
472022
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
372020
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
362022
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
352011
Principal component regression for data containing outliers and missing elements
S Serneels, T Verdonck
Computational statistics & data analysis 53 (11), 3855-3863, 2009
332009
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
272015
Precision of power-law NHPP estimates for multiple systems with known failure rate scaling
J Van Dyck, T Verdonck
Reliability Engineering & System Safety 126, 143-152, 2014
242014
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