Kate Smith-Miles - Google Scholar Citations

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Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
David TaniarMonash University, AustraliaVerified email at monash.edu
Lee, Vincent C S, Vincent Lee, Cheng-...Monash UniversityVerified email at monash.edu
Clifton PhuaSenior Director, DataRobotVerified email at datarobot.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Mafruz Zaman AshrafiBiogenVerified email at biogen.com
Ross W GaylerIndependent ResearcherVerified email at zoho.com
A B M Shawkat AliAdjunct Professor in Data Science; CQUniversity, AustraliaVerified email at cqu.edu.au
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Jatinder N D GuptaUniversity of Alabama in HuntsvilleVerified email at uah.edu
Leo LopesSAS InstituteVerified email at sas.com
Mohan KrishnamoorthyUniversity of QueenslandVerified email at uq.edu.au
Mario A. MuñozResearch Fellow, School of Mathematics and Statistics, The University of MelbourneVerified email at unimelb.edu.au
Davaatseren BaatarMonash UniversityVerified email at monash.edu
Leonid ChurilovProfessor of Biostatistics, University of Melbourne, AustraliaVerified email at unimelb.edu.au
Laura VillanovaGraz University of Technology, AusriaVerified email at tugraz.at
Lipo WangNanyang Technological UniversityVerified email at ntu.edu.sg
Liang WangNational Lab of Pattern RecognitionVerified email at nlpr.ia.ac.cn
Ajith AbrahamMachine Intelligence Research Labs (MIR Labs)Verified email at ieee.org

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	962	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	783	2010
Cross-disciplinary perspectives on meta-learning for algorithm selection KA Smith-Miles ACM Computing Surveys (CSUR) 41 (1), 1-25, 2009	459	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	396	1999
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	394	2006
Facial age estimation by learning from label distributions X Geng, C Yin, ZH Zhou IEEE transactions on pattern analysis and machine intelligence 35 (10), 2401 …, 2013	353	2013
Neural networks in business: techniques and applications for the operations researcher KA Smith, JND Gupta Computers & Operations Research 27 (11-12), 1023-1044, 2000	332	2000
On learning algorithm selection for classification S Ali, KA Smith Applied Soft Computing 6 (2), 119-138, 2006	330	2006
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998	247	1998
Characterization and chromosome assignment of the human homolog of int-2, a potential proto-oncogene. G Casey, R Smith, D McGillivray, G Peters, C Dickson Molecular and cellular biology 6 (2), 502-510, 1986	238	1986
Static and dynamic channel assignment using neural networks K Smith, M Palaniswami IEEE journal on selected areas in communications 15 (2), 238-249, 1997	207	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	196	2003
Measuring instance difficulty for combinatorial optimization problems K Smith-Miles, L Lopes Computers & Operations Research 39 (5), 875-889, 2012	156	2012
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	154	2000
Neural networks in business: techniques and applications KA Smith, JND Gupta IGI Global, 2003	153	2003
Neural techniques for combinatorial optimization with applications K Smith, M Palaniswami, M Krishnamoorthy IEEE Transactions on Neural Networks 9 (6), 1301-1318, 1998	152	1998
ODAM: An optimized distributed association rule mining algorithm MZ Ashrafi, D Taniar, K Smith IEEE distributed systems online 5 (3), 2004	148	2004
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	144	2009
A meta-learning approach to automatic kernel selection for support vector machines S Ali, KA Smith-Miles Neurocomputing 70 (1-3), 173-186, 2006	128	2006
Parallel fuzzy c-means clustering for large data sets T Kwok, K Smith, S Lozano, D Taniar European conference on parallel processing, 365-374, 2002	122	2002

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