Photo of Adrian Gepp
  • Bond University, Bond Business School

    4229 Gold Coast

    Australia

Accepting PhD Students

20062020

Research output per year

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Research Output

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Abstract
2020

Bankruptcy Prediction of Australian SMEs and Large Companies

Halteh, K., Gepp, A. & Kumar, K., Jun 2020, (Unpublished).

Research output: Contribution to conferenceAbstractResearchpeer-review

File
2 Downloads (Pure)

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

Tiwari, M., Gepp, A. & Kumar, K., Jun 2020, (Unpublished).

Research output: Contribution to conferenceAbstractResearchpeer-review

File
3 Downloads (Pure)

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

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

Research output: Contribution to conferenceAbstractResearch

Open Access
File
3 Downloads (Pure)
2019

Using Customer Information and Bayesian Techniques to Enhance Persistence Modelling

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

Research output: Contribution to conferenceAbstractResearchpeer-review

2018

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 conferenceAbstractResearch

2017

Big Data and ICU Scoring Systems

Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 2017, p. 47-48. 2 p.

Research output: Contribution to conferenceAbstractResearchpeer-review

Open Access

Financial Distress Prediction in the Australian Mining Industry using Tree-Based Stochastic Techniques

Halteh, K., Gepp, A. & Kumar, K., Nov 2017.

Research output: Contribution to conferenceAbstractResearchpeer-review

2016

Addressing the problem of financial statement fraud: Better detection through improved models

Gepp, A., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Detecting fraud in corporate financial statements using trees and forests

Kumar, K., Gepp, A. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Evaluating the threat posed by quantum computing to the security of online business systems

Harris, G. & Gepp, A., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Financial distress prediction using cutting-edge statistical techniques

Halteh, K., Gepp, A. & Kumar, K., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Improved models to detect fraud in financial statements

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Improving models that detect financial statement fraud: A new framework to guide variable selection

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

The fraud detection triangle: A new framework for fraud detection research

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

2015

A new framework for selecting variables in fraud detection research

Gepp, A. & Kumar, K., 2015, p. 1-1. 1 p.

Research output: Contribution to conferenceAbstractResearchpeer-review

The fraud detection triangle: A new framework for selecting variables in fraud detection research

Gepp, A., Kumar, K. & Bhattacharya, S., 2015.

Research output: Contribution to conferenceAbstractResearchpeer-review

2014

Financial distress prediction: A cost-sensitive study using accounting ratios that compares multiple modelling techniques

Gepp, A. & Kumar, K., 2014.

Research output: Contribution to conferenceAbstractResearchpeer-review

Using decision trees to detect financial statement fraud

Gepp, A. & Kumar, K., 2014.

Research output: Contribution to conferenceAbstractResearch

2013

How do you best facilitate MBA students to discover how they best learn in an online environment?

Gepp, A., 2013.

Research output: Contribution to conferenceAbstractResearchpeer-review

2012

Financial distress prediction using decision trees and survival analysis

Gepp, A. & Kumar, K., 2012.

Research output: Contribution to conferenceAbstractResearchpeer-review