Will N. Browne
Will N. Browne
Verified email at VUW.ac.nz
TitleCited byYear
Particle swarm optimization for feature selection in classification: A multi-objective approach
B Xue, M Zhang, WN Browne
IEEE transactions on cybernetics 43 (6), 1656-1671, 2012
5182012
A survey on evolutionary computation approaches to feature selection
B Xue, M Zhang, WN Browne, X Yao
IEEE Transactions on Evolutionary Computation 20 (4), 606-626, 2015
4172015
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
B Xue, M Zhang, WN Browne
Applied soft computing 18, 261-276, 2014
2492014
Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems
M Iqbal, WN Browne, M Zhang
IEEE Transactions on Evolutionary Computation 18 (4), 465-480, 2013
912013
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems
B Xue, L Cervante, L Shang, WN Browne, M Zhang
Connection Science 24 (2-3), 91-116, 2012
642012
Multi-objective particle swarm optimisation (PSO) for feature selection
B Xue, M Zhang, WN Browne
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
602012
New fitness functions in binary particle swarm optimisation for feature selection
B Xue, M Zhang, WN Browne
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
602012
Uncanny valley revisited
FC Gee, WN Browne, K Kawamura
ROMAN 2005. IEEE International Workshop on Robot and Human Interactive …, 2005
562005
Binary PSO and rough set theory for feature selection: A multi-objective filter based approach
B Xue, L Cervante, L Shang, WN Browne, M Zhang
International Journal of Computational Intelligence and Applications 13 (02 …, 2014
362014
Multi-objective evolutionary algorithms for filter based feature selection in classification
B Xue, L Cervante, L Shang, WN Browne, M Zhang
International Journal on Artificial Intelligence Tools 22 (04), 1350024, 2013
312013
Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill
L Yao, I Postlethwaite, W Browne, D Gu, M Mar, S Lowes
Journal of process control 15 (6), 615-628, 2005
312005
XCSR with computed continuous action
M Iqbal, WN Browne, M Zhang
Australasian Joint Conference on Artificial Intelligence, 350-361, 2012
302012
A comprehensive comparison on evolutionary feature selection approaches to classification
B Xue, M Zhang, WN Browne
International Journal of Computational Intelligence and Applications 14 (02 …, 2015
282015
Novel initialisation and updating mechanisms in PSO for feature selection in classification
B Xue, M Zhang, WN Browne
European Conference on the Applications of Evolutionary Computation, 428-438, 2013
282013
Single feature ranking and binary particle swarm optimisation based feature subset ranking for feature selection
B Xue, M Zhang, WN Browne
Proceedings of the Thirty-fifth Australasian Computer Science Conference …, 2012
282012
Evolving optimum populations with XCS classifier systems
M Iqbal, WN Browne, M Zhang
Soft Computing 17 (3), 503-518, 2013
262013
Particle swarm optimisation for outlier detection
AW Mohemmed, M Zhang, WN Browne
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
262010
Engaging robots: Innovative outreach for attracting cybernetics students
R Mitchell, K Warwick, WN Browne, MN Gasson, J Wyatt
IEEE transactions on education 53 (1), 105-113, 2009
262009
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems
M Iqbal, WN Browne, M Zhang
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
252013
Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets
C Ioannides, W Browne
Learning classifier systems, 46-56, 2006
242006
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