Kate Smith-Miles

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	总计	2020 年至今
引用	15186	5500
h 指数	58	34
i10 指数	169	88

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Rob J HyndmanProfessor of Statistics, Monash University在 monash.edu 的电子邮件经过验证
Mario Andrés MuñozSenior Research Fellow - OPTIMA, School of Computing & Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
VCS Lee, Vincent C.S. Lee, CS Lee, V...Monash University在 monash.edu 的电子邮件经过验证
Xin GengSchool of Computer Science and Engineering, Southeast University在 seu.edu.cn 的电子邮件经过验证
David TaniarMonash University, Australia在 monash.edu 的电子邮件经过验证
Clifton PhuaDirector of Labs at IMDA在 imda.gov.sg 的电子邮件经过验证
Mafruz Zaman AshrafiTakeda在 takeda.com 的电子邮件经过验证
Ross W GaylerIndependent Researcher在 rossgayler.com 的电子邮件经过验证
Zhi-Hua ZhouNanjing University在 nju.edu.cn 的电子邮件经过验证
Mehdi FoumaniAssociate Professor, Xi'an Jiaotong-Liverpool University在 xjtlu.edu.cn 的电子邮件经过验证
A B M Shawkat AliProfessor in Data Science; The University of Fiji在 unifiji.ac.fj 的电子邮件经过验证
Laura VillanovaGraz University of Technology, Ausria在 tugraz.at 的电子邮件经过验证
Leo LopesFICO在 fico.com 的电子邮件经过验证
Damminda AlahakoonProfessor, La Trobe University在 latrobe.edu.au 的电子邮件经过验证
M. PalaniswamiProfessor of Electrical Engineering在 unimelb.edu.au 的电子邮件经过验证
Jatinder N D GuptaUniversity of Alabama in Huntsville在 uah.edu 的电子邮件经过验证
Sevvandi KandanaarachchiCSIRO's Data61在 data61.csiro.au 的电子邮件经过验证
Yanfei KangSchool of Economics and Management, Beihang University在 buaa.edu.cn 的电子邮件经过验证
Mohan KrishnamoorthyRMIT University在 rmit.edu.au 的电子邮件经过验证
Leonid ChurilovProfessor of Biostatistics, University of Melbourne, Australia在 unimelb.edu.au 的电子邮件经过验证

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Kate Smith-Miles

Professor of Applied Mathematics, The University of Melbourne

在 unimelb.edu.au 的电子邮件经过验证 - 首页

optimization neural networks machine learning mathematical modelling


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A comprehensive survey of data mining-based fraud detection research C Phua, V Lee, K Smith, R Gayler arXiv preprint arXiv:1009.6119, 2010	1327	2010
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	1285	2007
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	926	2006
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009	728	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	567	1999
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006	500	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	419	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	288	2009
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012	276	2012
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998	263	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	232	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 (5), 532-541, 2000	222	2000
Static and dynamic channel assignment using neural networks K Smith, M Palaniswami IEEE journal on selected areas in communications 15 (2), 238-249, 1997	217	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	213	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	206	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	181	2006
Neural networks in business: techniques and applications KA Smith, JND Gupta IGI Global, 2003	173	2003
Instance spaces for machine learning classification MA Muñoz, L Villanova, D Baatar, K Smith-Miles Machine Learning 107, 109-147, 2018	171	2018
Neural techniques for combinatorial optimization with applications K Smith, M Palaniswami, M Krishnamoorthy IEEE Transactions on Neural Networks 9 (6), 1301-1318, 1998	165	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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