1. A Review of Money Laundering Literature: The State of Research in Key Areas

   Tiwari, M., Gepp, A. & Kumar, K., 18 Mar 2020, In: Pacific Accounting Review. 32, 2, p. 271-303 33 p.

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

2. 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

3. 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

4. Investigating Healthcare Contacts of Dialysis Patients by Age and Gender

   Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 27 Feb 2019, In: BMC Health Services Research. 19, 1, p. 1-8 8 p.

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

5. Big Data and ICU scoring systems

   Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 21 Jul 2017.

   Research output: Contribution to conference › Paper

6. Improving Mortality Models in the ICU with High-Frequency Data

   Todd, J., Gepp, A., Richards, B. & Vanstone, B. J., 1 Sept 2019, In: International Journal of Medical Informatics. 129, p. 318-323 6 p.

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

7. 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

8. Published

   The Quest for Optimal Trade Execution: Statistical Models vs Reinforcement Learning

   Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Sept 2023.

   Research output: Contribution to conference › Paper › peer-review

9. Producing actionable data-driven insights to improve athlete and team performance

   Van der Vegt, B., Gepp, A., Johnman, M. & Vanstone, B. J., 1 Feb 2020.

   Research output: Contribution to conference › Paper

10. E-pub ahead of print

    An investigation of data-driven player positional roles within the Australian Football League Women's competition using technical skill match-play data

    Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., 5 Oct 2023, (E-pub ahead of print) In: International Journal of Sports Science and Coaching.

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

11. 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

12. Methods of performance analysis in women's Australian football: A scoping review

    Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., 13 Mar 2023, In: PeerJ. 11, e14946.

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

13. Bond Business School, Bond University and intelliHQ

    Vanstone, B. J. & Gepp, A., 21 Jul 2017.

    Research output: Contribution to conference › Paper

14. Do News and Sentiment play a role in Stock Price Prediction?

    Vanstone, B. J., Gepp, A. & Harris, G., 1 Nov 2019, In: Applied Intelligence. 49, 11, p. 3815-3820 6 p.

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

15. The Effect of Sentiment on Stock Price Prediction

    Vanstone, B. J., Gepp, A. & Harris, G., 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 Mahamed, O. & Ali, M. (eds.). Germany: Springer, p. 551-559 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

16. 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

17. Financial Literacy and Financial Decision-making: The mediating role of financial concerns

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019.

    Research output: Contribution to conference › Paper

18. Financial well-being amongst elderly Australians: The role of consumption patterns and financial literacy

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 30 Sept 2019, In: Accounting and Finance .

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

19. Financial literacy amongst elderly Australians

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019, In: Accounting and Finance . 59, S1, p. 887-918 32 p.

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

20. Financial Literacy and Financial Strategies: The mediating role of financial concerns

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Aug 2021, In: Australian Journal of Management. 46, 3, p. 437-465

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

21. Consumption pattern, financial literacy and financial well-being: the course of retirement

    Xue, R., Gepp, A., Stern, S., O'Neill, T. & Vanstone, B. J., 1 Jul 2018.

    Research output: Contribution to conference › Paper

22. The Financial Consequence of Integrity: Using Automated Fraud Detection for Investment

    Yee, A., Gepp, A., Kumar, K. & Vanstone, B. J., 2018.

    Research output: Contribution to conference › Paper