If a paper you are interested in is not available for download, or to request an accessible version of any document, please try to contact the author directly.
| Title | Presenter(s) | Year | Affiliate Institution | Paper |
|---|---|---|---|---|
| Deep Recurrent Neural Networks for Fraud Detection on Debit Card Transactions | Antonio Martini | 2019 | Barclays | Download (PDF) |
| Defining Optimal Approaches for Building Risk-based Revenue Model for Credit Cards: A Case Study | Dmytro Kolechko | 2019 | Vietnam Prosperity Bank | Download (PDF) |
| Direct Estimation of the Survival Function for Credit Default Using Nested Time Intervals | Jeff Dugger, Michael McBurnett | 2019 | Equifax | Download (Word) |
| Do Non-Bank SME Lenders Require Alternative Stress Testing Methodologies? | Galina Andreeva, Gabriele Sabato | 2019 | The University of Edinburgh, Wiserfunding | Download (PDF) |
| Estimating the Probability of Default Under IFRS 9 Using Non-Performing Loan Ratios and Macro-Economic Forecasts | Keisha Gill, Patrick Cane | 2019 | Ernst & Young | Download (Word) |
| Estimation of Probability of Default with Machine Learning Techniques: A Comparative Approach | Stefano Bonini, Giuliana Caivano | 2019 | University of Bologna | Download (Word) |
| Ethical AI: Innovations in Model Confidence and Bias Detection | Shafi Rahman, Scott Zoldi | 2019 | FICO | Download (PDF) |
| Evaluation of Credit Decisions for Evidence of Unfair Lending | JT Richardson | 2019 | Essex Lake Group | Download Slides (PDF) / Download Abstract (Word) |
| Exogenous Maturity Vintage (EMV) Modelling Based on Through the Cycle Maturity Defined as a Markov Transition Matrix | Lubomir Burian, Kosmas Panagiotidis | 2019 | Royal Bank of Scotland | Download (PDF) |
| Explainability and Predictability of Textual Financial Reports on Corporate Default: A Sentiment Analysis Approach | Hung Ba, Su Nguyen, Nam Huynh | 2019 | The University of Edinburgh, La Trobe University, School of Knowledge Science, JAIST | Download (Word) |
| Explainable AI in Practice: Using NDT Gen 3 with UK CRA Data | Stephen Miller, Natalie Scott, Trang Luong, Steven Upton, Tanvi Verma, Kamini Patel | 2019 | Equifax | Download (PDF) |
| Explanations of Machine Learning Predictions: A Mandatory Step for its Application to Operational Processes | Giorgio Visani, Federico Chesani, Enrico Bagli, Davide Capuzzo, Alessandro Poluzzi | 2019 | Università degli Studi di Bologna, CRIF S.p.A. | Download (Word) |
| Fishing for Mules with Nets | Andreas Schaefer, Daniel Clegg | 2019 | Royal Bank of Scotland | Download (Word) |
| Forecasting Recovery Rates on Non-performing Loans with Machine Learning | Paolo Gambetti, Anthony Bellotti, Damiano Brigo, Frédéric Vrins | 2019 | UC Louvain, Imperial College London | Download (Word) |
| From Incurred Loss to Current Expected Credit Loss (CECL): A Forensic Analysis of the Allowance for Loan Losses in Unconditionally Cancelable Credit Cards Portfolios | José Canals-Cerdá | 2019 | Federal Reserve Bank of Philadelphia | Download (Word) |