Kate Smith-Miles

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Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Mario Andrés MuñozSenior Research Fellow - OPTIMA, School of Computer and Information Systems, University of MelbourneVerified email at unimelb.edu.au
VCS Lee, Vincent C.S. Lee, CS Lee, V...Monash UniversityVerified email at monash.edu
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
David TaniarMonash University, AustraliaVerified email at monash.edu
Clifton PhuaDirector of Labs at IMDAVerified email at imda.gov.sg
Mafruz Zaman AshrafiTakedaVerified email at takeda.com
Ross W GaylerIndependent ResearcherVerified email at rossgayler.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Mehdi FoumaniAssociate Professor, Xi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
A B M Shawkat AliProfessor in Data Science; The University of FijiVerified email at unifiji.ac.fj
Laura VillanovaGraz University of Technology, AusriaVerified email at tugraz.at
Leo LopesFICOVerified email at fico.com
Damminda AlahakoonProfessor, La Trobe UniversityVerified email at latrobe.edu.au
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Jatinder N D GuptaUniversity of Alabama in HuntsvilleVerified email at uah.edu
Sevvandi KandanaarachchiCSIRO's Data61Verified email at data61.csiro.au
Yanfei KangSchool of Economics and Management, Beihang UniversityVerified email at buaa.edu.cn
Mohan KrishnamoorthyRMIT UniversityVerified email at rmit.edu.au
Leonid ChurilovProfessor of Biostatistics, University of Melbourne, AustraliaVerified email at unimelb.edu.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	1269	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	1263	2010
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	888	2006
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009	715	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	559	1999
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006	488	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	414	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	282	2009
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012	266	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	224	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
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	214	2000
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
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	201	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	175	2006
Neural networks in business: techniques and applications KA Smith, JND Gupta IGI Global, 2003	172	2003
Instance spaces for machine learning classification MA Muñoz, L Villanova, D Baatar, K Smith-Miles Machine Learning 107, 109-147, 2018	164	2018
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

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