• Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • 113 Citations
  • 4 h-Index
20062019
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Research Output 2006 2019

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Abstract
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

Persistence
Modeling
Customer information
Marketing effectiveness
Inclusion
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

Fraud detection
Integrity
Investing
Financial statement fraud
Fraud
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
APACHE
Benchmarking
Gold
Calibration

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

Prediction
Mining industry
Financial distress
Boosting
Gradient
2016

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

Gepp, A., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Fraud detection
Financial statement fraud
Factors
Fraud
Selection process

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

quantum computation
quantum mechanics
attack
histories
on-line systems

Financial distress prediction using cutting-edge statistical techniques

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

Research output: Contribution to conferenceAbstractResearchpeer-review

Prediction
Financial distress
Industry
Financial data
Owners

Improved models to detect fraud in financial statements

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

Research output: Contribution to conferenceAbstractResearchpeer-review

Financial statements
Fraud
Costs
Financial statement fraud
Median

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

Financial statement fraud
Variable selection
Fraud detection
Factors
Fraud

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

Fraud detection
Fraud
Financial statement fraud
Common factors
Industry

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

Fraud detection
Financial statement fraud
Fraud
Selection process
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