Interpretability of the random forest model under class imbalance by Lindani Dube, Tanja Verster

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The Changing Landscape of Financial Credit Risk Models by Tanja Verster, Erika Fourie

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Enhancing classification performance in imbalanced datasets: A comparative analysis of machine learning models by Lindani Dube, Tanja Verster

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Using Model Performance to Assess the Representativeness of Data for Model Development and Calibration in Financial Institutions by Chamay Kruger, Willem Daniel Schutte, Tanja Verster

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Some Insights about the Applicability of Logistic Factorisation Machines in Banking by Erika Slabber, Tanja Verster, Riaan de Jongh

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Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD by Morne Joubert, Tanja Verster, Helgard Raubenheimer, Willem D. Schutte

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Development of an Impairment Point in Time Probability of Default Model for Revolving Retail Credit Products: South African Case Study by Douw Gerbrand Breed, Niel van Jaarsveld, Carsten Gerken, Tanja Verster, Helgard Raubenheimer

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A Forward-Looking IFRS 9 Methodology, Focussing on the Incorporation of Macroeconomic and Macroprudential Information into Expected Credit Loss Calculation by Douw Gerbrand Breed, Jacques Hurter, Mercy Marimo, Matheba Raletjene, Helgard Raubenheimer, Vibhu Tomar, Tanja Verster

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