Title Presenter(s) Year Sort ascending Affiliate Institution Paper
Explainable Neural Networks for Dynamic Credit Risk Modelling Anthony Bellotti, Hao Wang 2021 University of Nottingham Ningbo China Download Abstract (Word) / Download Slides (PDF)
OptiLIME: Reliable Explanations of Machine Learning Models in Credit Scoring Enrico Bagli, Giorgio Visani, Federico Chesani 2021 Università Di Bologna Download Abstract (Word)
Rise of the Machine – The Future of Credit Scoring is Here Matthew Jones 2021 Nationwide Building Society Download Abstract (Word) / Download Slides (PDF)
Fairness by Explicability and Adversarial SHAP Learning Javier Campos Zabala 2021 Experian Download Abstract (Word)
Assessment of Survival Analysis Approaches to IFRS9 Implementation for Retail Portfolios Andrea Lunelli, Konstantinos Bousoulas, Ansgar Wenzel, Sylvain Willart 2021 Advanzia Bank SA Download Abstract (Word) / Download Paper (Word)
Towards Fair Credit Allocation Domonkos Vamossy, Stefania Albanesi 2021 University Of Pittsburgh Download Abstract (Word)
Machine Learning, Corporate Bankruptcies, and Variable Selection Ludovico Rossi 2021 Cunef Download Abstract (Word) / Download Paper (Word)
Gender Discrimination in Algorithmic Decision-making Anna Matuszyk, Galina Andreeva 2021 Warsaw School of Economics Download Abstract (Word) / Download Slides (PDF)
A Novel Approach for Credit Scoring Using Deep Neural Networks With Bank Transactions Data Giacomo Graffi, Giorgio Visani, Enrico Bagli, Federico Chesani 2021 CRIF SPA Download Abstract (Word)
Understanding Economic Benefits of Combining Credit Scorecards Blazej Kochanski 2021 Gdansk University Of Technology Download Abstract (Word)
Harnessing Marketing Attribution Techniques to Improve Collections Strategies Pete Sewart 2021 Jaywing Download Abstract (Word)
Revisiting the Dualism of “Point-in-Time” and “Through-the-Cycle” Credit Risk Models Bernhard Eder 2021 University Of Innsbruck Download Abstract (Word) / Download Paper (Word)
Time-Dependent Survival Model Combined with Complex Network: Evidence from Corporate Bond Default Data in China Feng Shen, Run Wang 2021 Southwestern University Of Finance And Economics Download Abstract (Word)
Great Expectations: Raising Standards in a Crisis Helen McNab, Gerard Scallan 2021 Scoreplus Download Abstract (Word)
A New MIDAS Approach for Predicting Corporate Credit Rating Levels Leonie Tabea Goldmann, Raffaella Calabrese, Jonathan Crook 2021 University Of Edinburgh Download Abstract (Word)

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