Research Portal

Professor Adrian Gepp

Professor in Data Analytics

Affiliations

Links

ORCID: 0000-0003-1666-5501

Contact info

Email a.gepp@bangor.ac.uk

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  1. 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

  2. Published

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

    Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Jun 2023, In: Pacific-Basin Finance Journal. 79, 102011.

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

  3. 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

  4. NFCP: N-Factor Commodity Pricing Through Term Structure Estimation

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 13 Jan 2021

    Research output: Other contribution

  5. 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

  6. E-pub ahead of print

    Pitching business school researcher profiles

    Faff, R., Mathuva, D., Brosnan, M., Hoffmann, S., Albu, C., Ali, S., Axelsen, M., Cornwell, N., Gepp, A., Gill, C., Honey, K., Malik, I., Mehrotra, V., Moses, O., Ratiu, R. V., Tan, D. & Tuszkiewicz, M. A., 21 Sept 2023, (E-pub ahead of print) In: Journal of Accounting Literature.

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

  7. 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

  8. 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

  9. 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

  10. 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

  11. Published
  12. Published

    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., Jun 2024, In: Accounting and Finance . 64, 2, p. 1569-1588

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

  13. Text Box 7.1 Fraud and corporate psychopathy

    Croom, S., Erdelyi, R., Gepp, A. & Mills, R., 2020, Corporate Psychopathy. Fritzon, K., Brooks, N. & Croom, S. (eds.). United Kingdom: Palgrave Macmillan, p. 201-202 2 p.

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

  14. 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

  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. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. Variable Transformation to a 2x2 domain space for Edge Matching Puzzles

    Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020.

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

  26. Variable transformation to a 2×2 Domain Space for Edge Matching Puzzles

    Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings. Fujita, H., Fournier-Viger, P., Ali, M. & Sasaki, J. (eds.). Germany: Springer, p. 210-221 12 p. (Lecture Notes in Computer Science; vol. 12144).

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

  27. Published

    世界で深刻化する食品犯罪、産地偽装問題　AIとブロックチェーンでの対策に期待

    Gepp, A. & Tiwari, M., 2024, Project Design Online.

    Research output: Contribution to specialist publication › Article

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