1. Article › Research › Peer-reviewed

2. Predicting FTSE 100 returns and volatility using sentiment analysis

   Johnman, M., Vanstone, B. J. & Gepp, A., 1 Nov 2018, In: Accounting and Finance . 58, S1, p. 253-274 22 p.

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

3. Published

   Research ideas matter: Guidance for research students and early career researchers

   Duncan, K., Gepp, A., Craig, J. & O'Neill, H., 1 Dec 2023, In: Pacific-Basin Finance Journal. 82, 102153.

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

4. E-pub ahead of print

   Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud

   Gepp, A., Kumar, K. & Bhattacharya, S., 27 Oct 2023, (E-pub ahead of print) In: Accounting and Finance .

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

5. Text Mining and Automation for Processing of Patient Referrals

   Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 28 Mar 2018, In: Applied Clinical Informatics. 9, 1, p. 232-237 6 p.

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

6. Published

   The Impact of Housing Tenure on Financial Wellbeing Among Elderly Australians

   Gignac, G., Gepp, A., O'Neill, T. J. & Xue, R., 27 Dec 2023, In: Social Indicators Research. 171, p. 655-675

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

7. 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

8. The future of raising finance - a new opportunity to commit fraud: a review of initial coin offering (ICOs) scams

   Tiwari, M., Gepp, A. & Kumar, K., 1 May 2020, In: Contemporary Crises. 73, 4, p. 417-441 25 p.

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

9. Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk

   Halteh, K., Kumar, K. & Gepp, A., 16 May 2018, In: Risks. 6, 2, 55.

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

10. Using Machine Learning Techniques to Assess the Financial Impact of the COVID-19 Pandemic on the Global Aviation Industry

    Halteh, K., AlKhoury, R., Adel Ziadat, S., Gepp, A. & Kumar, K., Mar 2024, In: Transportation Research Interdisciplinary Perspectives. 101043.

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

11. Chapter › Research › Not peer-reviewed

12. Automatically Generating and Solving Eternity II Style Puzzles

    Harris, G., Vanstone, B. J. & Gepp, A., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahomed, O. & Ali, M. (eds.). Germany: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS)).

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