Professor Adrian Gepp
Professor in Data Analytics
Affiliations
Links
- https://scholar.google.com/citations?user=6BPTKWYAAAAJ
Google Scholar - https://www.researchgate.net/profile/Adrian-Gepp
ResearchGate
ORCID: 0000-0003-1666-5501
Contact info
Email a.gepp@bangor.ac.uk
61 - 70 out of 72Page size: 10
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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
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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
- 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. 655-675Research output: Contribution to journal › Article › peer-review
- 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
- 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. 374-402Research output: Contribution to journal › Article › peer-review
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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
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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
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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
- 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
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