Kate Smith-Miles

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Rob J HyndmanProfessor of Statistics, Monash UniversityEmail confirmado em monash.edu
Xin GengSchool of Computer Science and Engineering, Southeast UniversityEmail confirmado em seu.edu.cn
VCS Lee, Vincent C.S. Lee, CS Lee, V...Monash UniversityEmail confirmado em monash.edu
Mario Andrés MuñozResearch Fellow, ARC Centre in Optimisation Technologies, Integrated Methodologies and ApplicationsEmail confirmado em unimelb.edu.au
David TaniarMonash University, AustraliaEmail confirmado em monash.edu
Clifton PhuaCTO of Digital Systems at ST EngineeringEmail confirmado em stengg.com
Mafruz Zaman AshrafiBiogenEmail confirmado em takeda.com
Ross W GaylerIndependent ResearcherEmail confirmado em rossgayler.com
Zhi-Hua ZhouNanjing UniversityEmail confirmado em nju.edu.cn
A B M Shawkat AliProfessor in Data Science; The University of FijiEmail confirmado em unifiji.ac.fj
Mehdi FoumaniAssociate Professor, Xi'an Jiaotong-Liverpool UniversityEmail confirmado em xjtlu.edu.cn
M. PalaniswamiProfessor of Electrical EngineeringEmail confirmado em unimelb.edu.au
Leo LopesFICOEmail confirmado em fico.com
Damminda AlahakoonProfessor, La Trobe UniversityEmail confirmado em latrobe.edu.au
Laura VillanovaGraz University of Technology, AusriaEmail confirmado em tugraz.at
Jatinder N D GuptaUniversity of Alabama in HuntsvilleEmail confirmado em uah.edu
Mohan KrishnamoorthyUniversity of QueenslandEmail confirmado em uq.edu.au
Leonid ChurilovProfessor of Biostatistics, University of Melbourne, AustraliaEmail confirmado em unimelb.edu.au
Yanfei KangSchool of Economics and Management, Beihang UniversityEmail confirmado em buaa.edu.cn
Sevvandi KandanaarachchiCSIRO's Data61Email confirmado em data61.csiro.au

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Kate Smith-Miles

Professor of Applied Mathematics, The University of Melbourne

Email confirmado em unimelb.edu.au - Página inicial

optimization neural networks machine learning mathematical modelling


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1223	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	1132	2010
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	770	2006
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009	664	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	525	1999
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006	462	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	405	2000
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998	263	1998
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	259	2009
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012	239	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	203	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	197	2000
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
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	170	2017
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	151	2002

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