Kate Smith-Miles

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Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Mario Andrés MuñozResearch Fellow, ARC Centre in Optimisation Technologies, Integrated Methodologies and ApplicationsVerified email at unimelb.edu.au
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
VCS Lee, Vincent C.S. Lee, CS Lee, V...Monash UniversityVerified email at monash.edu
David TaniarMonash University, AustraliaVerified email at monash.edu
Clifton PhuaDirector of Labs at IMDAVerified email at imda.gov.sg
Mafruz Zaman AshrafiBiogenVerified email at takeda.com
Ross W GaylerIndependent ResearcherVerified email at rossgayler.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
A B M Shawkat AliProfessor in Data Science; The University of FijiVerified email at unifiji.ac.fj
Mehdi FoumaniAssociate Professor, Xi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Leo LopesFICOVerified email at fico.com
Laura VillanovaGraz University of Technology, AusriaVerified email at tugraz.at
Damminda AlahakoonProfessor, La Trobe UniversityVerified email at latrobe.edu.au
Jatinder N D GuptaUniversity of Alabama in HuntsvilleVerified email at uah.edu
Mohan KrishnamoorthyRMIT UniversityVerified email at rmit.edu.au
Leonid ChurilovProfessor of Biostatistics, University of Melbourne, AustraliaVerified email at unimelb.edu.au
Yanfei KangSchool of Economics and Management, Beihang UniversityVerified email at buaa.edu.cn
Sevvandi KandanaarachchiCSIRO's Data61Verified email at data61.csiro.au

Kate Smith-Miles

Professor of Applied Mathematics, The University of Melbourne

Verified email at unimelb.edu.au - Homepage

optimization neural networks machine learning mathematical modelling


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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	1237	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	1152	2010
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	789	2006
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009	674	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	532	1999
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006	468	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	408	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	264	2009
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998	263	1998
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012	251	2012
Web page clustering using a self-organizing map of user navigation patterns KA Smith, A Ng Decision Support Systems 35 (2), 245-256, 2003	214	2003
Static and dynamic channel assignment using neural networks K Smith, M Palaniswami IEEE journal on selected areas in communications 15 (2), 238-249, 1997	212	1997
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	205	2014
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, 532-541, 2000	198	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	178	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	173	2006
Neural networks in business: techniques and applications KA Smith, JND Gupta IGI Global, 2003	167	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	161	2004
Parallel fuzzy c-means clustering for large data sets T Kwok, K Smith, S Lozano, D Taniar Euro-Par 2002 Parallel Processing: 8th International Euro-Par Conference …, 2002	153	2002

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