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 | 1261 | 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 | 1220 | 2010 |
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006 | 861 | 2006 |
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009 | 701 | 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 | 548 | 1999 |
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006 | 478 | 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 | 410 | 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 | 277 | 2009 |
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012 | 262 | 2012 |
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998 | 262 | 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 | 216 | 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 | 215 | 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 | 212 | 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 | 209 | 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 | 193 | 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 | 172 | 2006 |
Neural networks in business: techniques and applications KA Smith, JND Gupta IGI Global, 2003 | 171 | 2003 |
Neural techniques for combinatorial optimization with applications K Smith, M Palaniswami, M Krishnamoorthy IEEE Transactions on Neural Networks 9 (6), 1301-1318, 1998 | 164 | 1998 |
ODAM: An optimized distributed association rule mining algorithm MZ Ashrafi, D Taniar, K Smith IEEE distributed systems online 5 (3), 2004 | 160 | 2004 |
Instance spaces for machine learning classification MA Muñoz, L Villanova, D Baatar, K Smith-Miles Machine Learning 107, 109-147, 2018 | 158 | 2018 |