1. 2023
2. Published

   Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report

   Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Feb 2023, In: Pacific-Basin Finance Journal. 77, 101906.

   Research output: Contribution to journal › Article › peer-review

3. Published

   Adapting deep learning models between regional markets

   Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1483–1492

   Research output: Contribution to journal › Article › peer-review

4. Published

   Empirical validation of ELM trained neural networks for financial modelling

   Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1581-1605 25 p.

   Research output: Contribution to journal › Article › peer-review

5. Published

   The Role of Data Analytics within Operational Risk Management: A Systematic Review from the Financial Services and Energy Sectors

   Cornwell, N., Bilson, C. M., Gepp, A., Stern, S. & Vanstone, B. J., Jan 2023, In: Journal of the Operational Research Society. 74, 1, p. 374-402

   Research output: Contribution to journal › Article › peer-review

6. 2022

7. Credit Rating Forecasting Using Machine Learning Techniques

   Wallis, M., Kumar, K. & Gepp, A., 1 May 2022, Research Anthology on Machine Learning Techniques, Methods, and Applications. United States: IGI Global, p. 734-752 19 p.

   Research output: Chapter in Book/Report/Conference proceeding › Chapter

8. Published

   Improving decision making in the management of hospital readmissions using modern survival analysis techniques

   Todd, J., Gepp, A., Stern, S. & Vanstone, B., May 2022, In: Decision Support Systems. 156, 113747.

   Research output: Contribution to journal › Article › peer-review

9. Performance analysis in women's Australian football: A review of current literature, challenges, and its potential for future research

   Van der Vegt, B., Farley, J. B., Gepp, A. & Keogh, J. W. L., 1 Feb 2022.

   Research output: Contribution to conference › Paper

10. 2021

11. Global money laundering appeal index: application of principal component analysis

    Tiwari, M., Gepp, A. & Kumar, K., 20 Oct 2021, In: Journal of Money Laundering Control. 26, 1

    Research output: Contribution to journal › Article › peer-review

12. Audit Data Analytics

    Gepp, A. & Johnson, R., 1 Sept 2021, Auditing: A Practical Approach with Data Analytics. Johnson, R. N. & Wiley, L. D. (eds.). 2nd ed. United States: John Wiley & Sons

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

13. Lifting the Numbers Game: Identifying key input variables and a best-performing model to detect financial statement fraud

    Gepp, A., Kumar, K. & Bhattacharya, S., 1 Sept 2021, In: Accounting and Finance . 61, 3, p. 4601-4638 38 p.

    Research output: Contribution to journal › Article › peer-review