Bruce J. Vanstone

According to our database, Bruce J. Vanstone authored at least 23 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors.

Nikki Cornwell, Christopher Bilson, Adrian Gepp, Steven E. Stern, Bruce J. Vanstone

J. Oper. Res. Soc., January, 2023

Adapting deep learning models between regional markets.

Isaac Tonkin, Adrian Gepp, Geoff Harris, Bruce J. Vanstone

Neural Comput. Appl., 2023

Empirical validation of ELM trained neural networks for financial modelling.

Volodymyr Novykov, Christopher Bilson, Adrian Gepp, Geoff Harris, Bruce James Vanstone

Neural Comput. Appl., 2023

2022

Improving decision making in the management of hospital readmissions using modern survival analysis techniques.

James Todd, Adrian Gepp, Steven E. Stern, Bruce James Vanstone

Decis. Support Syst., 2022

2020

Variable Transformation to a 2˟ 2 Domain Space for Edge Matching Puzzles.

Thomas Aspinall, Adrian Gepp, Geoff Harris, Bruce James Vanstone

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019

Improving mortality models in the ICU with high-frequency data.

James Todd, Adrian Gepp, Brent Richards, Bruce James Vanstone

Int. J. Medical Informatics, 2019

Do news and sentiment play a role in stock price prediction?

Bruce James Vanstone, Adrian Gepp, Geoff Harris

Appl. Intell., 2019

2018

Text Mining and Automation for Processing of Patient Referrals.

James Todd, Brent Richards, Bruce J. Vanstone, Adrian Gepp

Appl. Clin. Inform., 2018

The Effect of Sentiment on Stock Price Prediction.

Bruce James Vanstone, Adrian Gepp, Geoff Harris

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Automatically Generating and Solving Eternity II Style Puzzles.

Geoff Harris, Bruce James Vanstone, Adrian Gepp

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2014

Theory Identity: A Machine-Learning Approach.

Kai R. Larsen, Dirk S. Hovorka, Jevin West, James R. Birt, James R. Pfaff, Trevor W. Chambers, Zebula R. Sampedro, Nick Zager, Bruce J. Vanstone

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2012

Creating trading systems with fundamental variables and neural networks: The Aby case study.

Bruce J. Vanstone, Gavin R. Finnie, Tobias Hahn

Math. Comput. Simul., 2012

Risk Management in the Australian Stock Market using Artificial Neural Networks.

Bjoern Krollner, Bruce J. Vanstone, Gavin R. Finnie

Aust. J. Intell. Inf. Process. Syst., 2012

2011

Trading Foreign Currency using Artificial Neural Network Strategies.

Bruce J. Vanstone, Gavin R. Finnie

Proceedings of the NCTA 2011, 2011

2010

Enhancing stockmarket trading performance with ANNs.

Bruce J. Vanstone, Gavin R. Finnie

Expert Syst. Appl., 2010

Stockmarket Trading using Fundamental Variables and Neural Networks.

Bruce J. Vanstone, Gavin Finnie, Tobias Hahn

Aust. J. Intell. Inf. Process. Syst., 2010

Financial time series forecasting with machine learning techniques: a survey.

Bjoern Krollner, Bruce J. Vanstone, Gavin R. Finnie

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

An empirical methodology for developing stockmarket trading systems using artificial neural networks.

Bruce J. Vanstone, Gavin R. Finnie

Expert Syst. Appl., 2009

2008

Designing Short Term Trading Systems with Artificial Neural Networks.

Bruce J. Vanstone, Gavin R. Finnie, Tobias Hahn

Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

2007

Enhancing Existing Stockmarket Trading Strategies Using Artificial Neural Networks: A Case Study.

Bruce J. Vanstone, Gavin R. Finnie

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Combining technical analysis and neural networks in the australian stockmarket.

Bruce J. Vanstone, Gavin R. Finnie

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Evaluating the Application of Neural Networks and Fundamental Analysis in the Australian Stockmarket.

Bruce J. Vanstone, Gavin R. Finnie, Clarence N. W. Tan

Proceedings of the IASTED International Conference on Computational Intelligence, 2005

Artificial Neural Networks in Financial Trading.

Bruce J. Vanstone, Clarence N. W. Tan

Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005