Research Portal

Professor Adrian Gepp

Professor in Data Analytics

Affiliations

Links

ORCID: 0000-0003-1666-5501

Contact info

Email a.gepp@bangor.ac.uk

1 - 50 out of 72Page size: 50

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  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. Bond Business School, Bond University and intelliHQ

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

    Research output: Contribution to conference › Paper

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Big Data and ICU scoring systems

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

    Research output: Contribution to conference › Paper

  21. 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

  22. Money Laundering: Using a hybrid approach to detect illicit shell companies

    Tiwari, M., Gepp, A. & Kumar, K., 1 Jun 2020, p. 35.

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

  23. 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

  24. Published

    Can economic sanctions lead to fraud? Nations might turn to virtual currencies if slapped with restrictions

    Tiwari, M., Gepp, A. & Kumar, K., 1 May 2019, In: Fraud Magazine. 34, 3

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

  25. 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

  26. Published

    Shell Companies: Using a hybrid technique to detect illicit activities

    Tiwari, M., Gepp, A. & Kumar, K., 6 Jul 2021.

    Research output: Contribution to conference › Paper

  27. Published

    Factors influencing the choice of technique to launder funds: The APPT framework

    Tiwari, M., Ferrill, J., Gepp, A. & Kumar, K., Sept 2023, In: Journal of Economic Criminology. 1, 100006.

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

  28. 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

  29. A Big Data Framework to Address Building Sum Insured Misestimation

    Roberts, C., Gepp, A. & Todd, J., 28 Aug 2023, In: Big Data Research. 33, 100396.

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

  30. 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

  31. E-pub ahead of print

    Deep learning applications in investment portfolio management: a systematic literature review

    Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., 18 Dec 2023, (E-pub ahead of print) In: Journal of Accounting Literature.

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

  32. E-pub ahead of print

    An investigation into accounting and business students’ employability beliefs

    Kercher, K., Todd, J., Gill, C., Bennett, D. & Gepp, A., 4 Apr 2024, (E-pub ahead of print) In: Accounting Education.

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

  33. Published

    AI threatens to add to the growing wave of fraud but is also helping tackle it

    Jones, L. & Gepp, A., 10 Aug 2023, The Conversation.

    Research output: Contribution to specialist publication › Article

  34. Using Customer Information and Bayesian Techniques to Enhance Persistence Modelling

    Johnman, M., Gepp, A. & Vanstone, B. J., 1 Jun 2019, p. 87.

    Research output: Contribution to conference › Paper

  35. Harnessing Investor Sentiment Using Big Data Analytics

    Johnman, M., Gepp, A. & Vanstone, B. J., 2019, In: The Australasian Journal of Applied Finance. 2019, 3

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

  36. 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

  37. 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

  38. 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

  39. Bankruptcy Prediction of Australian SMEs and Large Companies

    Halteh, K., Gepp, A. & Kumar, K., 1 Jun 2020.

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

  40. Financial-distress prediction of Islamic banks using tree-based stochastic techniques

    Halteh, K., Kumar, K. & Gepp, A., 22 Jun 2018, In: Managerial Finance. 44, 6, p. 759-773 15 p.

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

  41. 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

  42. Market reactions to ASIC media releases: abnormal returns around ASIC “Name and Shame” disclosures

    Hall, L., Earea, D., Gepp, A., Harris, G., Kelly, S. & Vanstone, B. J., 1 Jul 2018.

    Research output: Contribution to conference › Paper

  43. Accepted/In press

    Exploring the interplay between equity groups, mental health and perceived employability amongst students at a public Australian university

    Gill, C., Todd, J., Bennett, D. & Gepp, A., 1 Feb 2024, (Accepted/In press) In: Research in Higher Education.

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

  44. 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

  45. Financial Applications of Semidefinite Programming: A Review and Call for Interdisciplinary Research

    Gepp, A., Harris, G. & Vanstone, B. J., 27 Sept 2019, In: Accounting and Finance .

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

  46. An Introductory Note on Big Data and Data Analytics for Accountants and Auditors

    Gepp, A. & Parker, M., 2018, Ivey Publishing.

    Research output: Other contribution

  47. 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

  48. Published

    Food fraud is a growing economic and health issue – but AI and blockchain technology can help combat it

    Gepp, A. & Tiwari, M., 2 Apr 2024, The Conversation.

    Research output: Contribution to specialist publication › Article

  49. Published
  50. Published

    Using Data Analytics to Distinguish Legitimate and Illegitimate Shell Companies

    Gepp, A., Tiwari, M. & Kumar, K., Apr 2023.

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

Previous 1 2 Next