Matthew Butler

According to our database1, Matthew Butler
  • authored at least 13 papers between 2009 and 2016.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2016
Stationarity control in the fuzzy time series and neural network algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
SAX Discretization Does Not Guarantee Equiprobable Symbols.
IEEE Trans. Knowl. Data Eng., 2015

2012
Computational intelligence for analysis concerning financial modelling and the adaptive market hypothesis.
PhD thesis, 2012

Creating a level playing field for all symbols in a discretization
CoRR, 2012

Testing implications of the Adaptive Market Hypothesis via computational intelligence.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

A learning adaptive Bollinger band system.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011
The effects of variable stationarity in a financial time-series on Artificial Neural Networks.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011

2010
Modeling the behavior of the stock market with an Artificial Immune System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Particle Swarm Optimization of Bollinger Bands.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Multi-objective optimization with an evolutionary artificial neural network for financial forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming.
Proceedings of the Advances in Artificial Intelligence, 2009

Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports.
Proceedings of the Advances in Artificial Intelligence, 2009


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