Nathan Burles

According to our database, Nathan Burles authored at least 10 papers between 2012 and 2017.

Collaborative distances:

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

2017

Search-Based Energy Optimization of Some Ubiquitous Algorithms.

Alexander E. I. Brownlee, Nathan Burles, Jerry Swan

IEEE Trans. Emerg. Top. Comput. Intell., 2017

2015

Specialising Guava's Cache to Reduce Energy Consumption.

Nathan Burles, Edward Bowles, Bobby R. Bruce, Komsan Srivisut

Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava.

Nathan Burles, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Jerry Swan, Nadarajen Veerapen

Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Embedded Dynamic Improvement.

Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Templar - A Framework for Template-Method Hyper-Heuristics.

Jerry Swan, Nathan Burles

Proceedings of the Genetic Programming - 18th European Conference, 2015

2014

Pattern recognition using associative memories.

Nathan Burles

PhD thesis, 2014

ENAMeL: A Language for Binary Correlation Matrix Memories - Reducing the Memory Constraints of Matrix Memories.

Nathan Burles, Simon O'Keefe, James Austin, Stephen Hobson

Neural Process. Lett., 2014

Incorporating Scale Invariance into the Cellular Associative Neural Network.

Nathan Burles, Simon O'Keefe, James Austin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Improving the Associative Rule Chaining Architecture.

Nathan Burles, Simon O'Keefe, James Austin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

A Rule Chaining Architecture Using a Correlation Matrix Memory.

James Austin, Stephen Hobson, Nathan Burles, Simon O'Keefe

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012