Kate Smith-Miles
Kate Smith-Miles
Professor of Applied Mathematics, The University of Melbourne
Verified email at - Homepage
Cited by
Cited by
Automatic age estimation based on facial aging patterns
X Geng, ZH Zhou, K Smith-Miles
IEEE Transactions on pattern analysis and machine intelligence 29 (12), 2234 …, 2007
A comprehensive survey of data mining-based fraud detection research
C Phua, V Lee, K Smith, R Gayler
arXiv preprint arXiv:1009.6119, 2010
Characteristic-based clustering for time series data
X Wang, K Smith, R Hyndman
Data mining and knowledge Discovery 13, 335-364, 2006
Cross-disciplinary perspectives on meta-learning for algorithm selection
KA Smith-Miles
ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009
Neural networks for combinatorial optimization: a review of more than a decade of research
KA Smith
Informs journal on Computing 11 (1), 15-34, 1999
On learning algorithm selection for classification
S Ali, KA Smith
Applied Soft Computing 6 (2), 119-138, 2006
Neural networks in business: techniques and applications for the operations researcher
KA Smith, JND Gupta
Computers & Operations Research 27 (11-12), 1023-1044, 2000
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series
X Wang, K Smith-Miles, R Hyndman
Neurocomputing 72 (10-12), 2581-2594, 2009
Measuring instance difficulty for combinatorial optimization problems
K Smith-Miles, L Lopes
Computers & Operations Research 39 (5), 875-889, 2012
On chaotic simulated annealing
L Wang, K Smith
IEEE Transactions on Neural Networks 9 (4), 716-718, 1998
Towards objective measures of algorithm performance across instance space
K Smith-Miles, D Baatar, B Wreford, R Lewis
Computers & Operations Research 45, 12-24, 2014
Static and dynamic channel assignment using neural networks
K Smith, M Palaniswami
IEEE journal on selected areas in communications 15 (2), 238-249, 1997
Web page clustering using a self-organizing map of user navigation patterns
KA Smith, A Ng
Decision Support Systems 35 (2), 245-256, 2003
An analysis of customer retention and insurance claim patterns using data mining: A case study
KA Smith, RJ Willis, M Brooks
Journal of the operational research society 51 (5), 532-541, 2000
Visualising forecasting algorithm performance using time series instance spaces
Y Kang, RJ Hyndman, K Smith-Miles
International Journal of Forecasting 33 (2), 345-358, 2017
A meta-learning approach to automatic kernel selection for support vector machines
S Ali, KA Smith-Miles
Neurocomputing 70 (1-3), 173-186, 2006
Neural networks in business: techniques and applications
KA Smith, JND Gupta
IGI Global, 2003
Neural techniques for combinatorial optimization with applications
K Smith, M Palaniswami, M Krishnamoorthy
IEEE Transactions on Neural Networks 9 (6), 1301-1318, 1998
ODAM: An optimized distributed association rule mining algorithm
MZ Ashrafi, D Taniar, K Smith
IEEE distributed systems online 5 (3), 2004
Instance spaces for machine learning classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107, 109-147, 2018
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