Outlyingness: Which variables contribute most? - Michiel Debruyne; Sebastiaan Höppner; Sven Serneels; Tim Verdonck (Stat. Comput., 2019)

robROSE: A robust approach for dealing with imbalanced data in fraud detection. - Bart Baesens; Sebastiaan Höppner; Irene Ortner; Tim Verdonck (CoRR, 2020)

Cellwise robust M regression. - Peter Filzmoser; Sebastiaan Höppner; Irene Ortner; Sven Serneels; Tim Verdonck (Comput. Stat. Data Anal., 2020)

Profit driven decision trees for churn prediction. - Sebastiaan Höppner; Eugen Stripling; Bart Baesens; Seppe vanden Broucke; Tim Verdonck (Eur. J. Oper. Res., 2020)

Data engineering for fraud detection. - Bart Baesens; Sebastiaan Höppner; Tim Verdonck (Decis. Support Syst., 2021)

Instance-dependent cost-sensitive learning for detecting transfer fraud. - Sebastiaan Höppner; Bart Baesens; Wouter Verbeke; Tim Verdonck (Eur. J. Oper. Res., 2022)