Prof Kate Smith-Miles - Researcher Profile

Biography

Kate Smith-Miles is a Professor and Head of the School of Mathematical Sciences at Monash University.

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Keywords

optimisation, data mining, neural networks

Qualifications

DOCTOR OF PHILOSOPHY

Institution: The University of Melbourne

Year awarded: 1996

BACHELOR OF SCIENCE WITH HONOURS

Institution: The University of Melbourne

Year awarded: 1993

Publications

Books

Ong, K., Smith-Miles, K., Lee, V.C., Ng, W. (eds), 2006, Integrating AI and Data Mining, IEEE Computer Society, Los Alamitos USA.

Gupta, J.N.D., Smith, K.A. (eds), 2000, Special Issue Neural Networks In Business, Elsevier Science Ltd, Oxford UK.

Smith, K.A., 1999, Introduction to Neural Networks and Data Mining for Business Applications, Eruditions Publishing, Emerald Vic Australia.

Book Chapters

Smith-Miles, K., Islam, R., 2011, Meta-learning of instance selection for Data Summarization, in Meta-Learning in Computational Intelligence, eds Norbert Jankowski, Wlodzislaw Duch, Krzysztof Grabczewski, Springer, Germany, pp. 77-95.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2006, Distributed association rule mining, in Encyclopedia of Data Warehousing and Mining, eds John Wang, IGI Publishing, Hershey USA, pp. 403-407.

Siew, E., Smith, K.A., Churilov, L., Wassertheil, J., 2005, A longitudinal comparison of supervised and unsupervised learning approaches to iso-resource grouping for acute healthcare in Australia, in Classification and Clustering for Knowledge Discovery, eds Saman K Halgamuge and Lipo P Wang, Springer, Berlin Germany, pp. 283-303.

Wang, X.C., Abraham, A., Smith, K.A., 2005, Soft computing paradigms for web access pattern analysis, in Classification and Clustering for Knowledge Discovery, eds Saman K Halgamuge and Lipo P Wang, Springer, The Netherlands, pp. 233-250.

Smith, K.A., Dale, M.S., 2004, A porter framework for understanding the strategic potential of data mining for the Australian banking industry, in Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance, eds Hamid R Nemati and Christopher D Barko, Idea Group Publishing, Hershey USA, pp. 25-45.

Yeo, A.C., Smith, K.A., Willis, R.J., Brooks, M., 2003, A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry, in Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition, eds Leon Reznik and Vladik Kreinovich, Springer-Verlag, Berlin Germany, pp. 249-261.

Yeo, A.C., Smith, K.A., 2003, An integrated data mining approach to premium pricing for the automobile insurance industry, in Intelligent and Other Computational Techniques in Insurance: Theory and Applications, eds A.F. Shapiro and L.C. Jain, World Scientific Publishing Co. Pte. Ltd, Singapore, pp. 199-227.

Potvin, J., Smith, K.A., 2003, Artificial neural networks for combinatorial optimization, in Handbook of Metaheuristics, eds Fred Glover and Gary A. Kochenberger, Kluwer Academic Publishers, Massachusetts USA, pp. 429-455.

Bedingfield, S.E., Smith, K.A., 2003, Evolutionary rule generation and its application to credit scoring, in Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition, eds Leon Reznik and Vladik Kreinovich, Springer-Verlag, Berlin Germany, pp. 262-276.

Yeo, A.C., Smith, K.A., 2003, Implementing a data mining solution for an automobile insurance company: reconciling theoretical benefits with practical considerations, in Annals of Cases on Information Technology, eds Mehdi Khosrow-Pour, IDEA Group Publishing, Hershey USA, pp. 63-73.

Garcia, J.M., Smith, K.A., Lozano, S., Guerrero, F., 2002, A comparison of GRASP and an exact method for solving a production and delivery scheduling problem, in Advances in Soft Computing: Hybrid Information Systems, eds A. Abraham, M. Koppen, Physica-Verlag, Heidelberg Germany, pp. 431-447.

Wang, X.C., Smith, K.A., 2002, Clustering web user interests using self organising maps, in Soft Computing Systems: Design, Management and Applications, eds Ajith Abraham, Javier Ruiz-del-Solar, Mario Koppen, IOS Press, Amsterdam The Netherlands, pp. 843-852.

Smith, K.A., Lokmic, L., 2002, Combining supervised and unsupervised neural networks for improved cash flow forecasting, in Neural Networks in Business: Techniques and Applications, eds Kate A. Smith and Jatinder N. D. Gupta, Idea Group Publishing, Hershey USA, pp. 236-244.

Smith, K.A., Chuan, S., Van der Putten, P., 2002, Determining the validity of clustering for data fusion, in Advances in Soft Computing: Hybrid Information Systems, eds Ajith Abraham, Mario Koppen, Physica-Verlag, Heidelberg Germany, pp. 627-636.

Smith, K.A., Woo, F., Ciesielski, V., Ibrahim, R., 2002, Matching data mining algorithm suitability to data characteristics using a self-organizing map, in Advances in Soft Computing: Hybrid Information Systems, eds A. Abraham, M. Koppen, Physica-Verlag, Heidelberg Germany, pp. 169-179.

Smith, K.A., 2002, Neural networks for business: an introduction, in Neural Networks in Business: Techniques and Applications, eds Kate A Smith, Jatinder N. D. Gupta, Idea Group Publishing, Hershey USA, pp. 1-24.

Yeo, A.C., Smith, K.A., Willis, R.J., 2002, Using neural networks to model premium price sensitivity of automobile insurance customers, in Neural Networks in Business: Techniques and Applications, eds Kate A. Smith, Jatinder N. D. Gupta, Idea Group Publishing, Hershey USA, pp. 41-54.

Wang, X.C., Abraham, A., Smith, K.A., 2002, Web traffic mining using a concurrent neuro-fuzzy approach, in Soft Computing Systems: Design, Management and Applications, eds Ajith Abraham, Javier Ruiz-del Solar, Mario Koppen, IOS Press, Amsterdam The Netherlands, pp. 853-862.

Guerrero, F., Lozano, S., Canca, D., Garcia, J.M., Smith, K.A., 2001, A new self-organizing neural network for solving the travelling salesman problem, in Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design, eds Cihan H Dagli, Anna L Buczak, Joydeep Ghosh, Mark J Embrechts, Okan Ersoy and Stephen Kercel, ASME Press, New York NY USA, pp. 865-870.

Beh, C.C.K., Smith, K.A., Webley, P.A., 2001, Dynamic modelling using neural networks. Case study - pilot scale VSA process for oxygen production, in Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design, eds Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, Okan Ersoy and Stephen Kercel, ASME Press, New York NY USA, pp. 551-556.

Holl, S.J., Flitman, A.M., Smith, K.A., 2001, Hierarchical neural networks for reducing systematic prediction errors, in Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design, eds C Dagli, A Buczak, J Ghosh, M Embrechts, O Ersoy and S Kercel, ASME Press, New York NY USA, pp. 775-780.

Smith, K.A., Woo, F., Ciesielski, V., Ibrahim, R., 2001, Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks, in Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design, eds Cihan H Dagli, Anna L Buczak, Joydeep Ghosh, Mark J Embrechts, Okan Ersoy and Stephen Kercel, ASME Press, New York NY USA, pp. 357-362.

Smith, K.A., Spithill, T.W., Coppel, R.L., 2001, Neural network classification of malaria protein sequences, in Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design, eds Cihan H Dagli, Anna L Buczak, Joydeep Ghosh, Mark J Embrechts, Okan Ersoy and Stephen Kercel, ASME Press, New York NY USA, pp. 783-788.

Bedingfield, S.E., Smith, K.A., 2000, A Comparison of Fitness Functions for Evolutionary Rule Generation, in Advances in Intelligent Systems Theory and Applications, IOS Press, Amsterdam Netherlands, pp. 102-109.

Kwok, T., Smith, K.A., 2000, A Self-organisation Neural Network with Attractor Nodes for Combinatorial Optimisation, in Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, ASME Press, New York NY USA, pp. 209-216.

Kwok, T., Smith, K.A., 2000, A performance comparison of chaotic simulated annealing models for solving the N-queen problem, in Soft Computing in Industrial Applications, Springer-Verlag, London UK, pp. 447-458.

Guerrero, F., Lozano, S., Smith, K.A., Eguia, I., 2000, Facility Location using Neural Networks, in Soft Computing in Industrial Applications, Springer-Verlag, London UK, pp. 171-179.

Lozano, S., Guerrero, F., Canca, D., Sanchez, J.M., Smith, K.A., 2000, Generation of Route Timetables using Self-Organizing Feature Maps, in Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, ASME Press, New York NY USA, pp. 1063-1068.

Ng, A., Smith, K.A., 2000, Logsom: Web Usage Mining by a Self-organizing Map, in Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, ASME Press, New York NY USA, pp. 495-500.

Kwok, T., Smith, K.A., 1998, A Unified Framework for Chaotic Neural Network Approaches to Combinatorial Optimization, in Business Systems Research Vol II, School of Business Systems, Clayton Vic Australia, pp. 460-466.

Smith, K.A., Willis, R.J., Brooks, M., 1998, An Analysis of Customer Retention and Insurance Claim Patterns Using Data Mining: A Case Study, in Business Systems Research Vol I, School of Business Systems, Clayton Vic Australia, pp. 35-47.

Smith, K.A., Abramson, D.A., Duke, D., 1998, Hopfield Neural Networks for Timetabling: Formulations, Methods and Comparative Results, in Business Systems Research Vol I, School of Business Systems, Clayton Vic Australia, pp. 196-224.

Smith, K.A., Siew, E., Milne, B.J., Luxford, K.B.G., 1998, Neural Networks for Software Estimation, in Business Systems Research Vol II, School of Business Systems, Clayton Vic Australia, pp. 394-399.

Kwok, T., Smith, K.A., 1998, Optimisation by Chaotic Simulated Annealing: A Comparative Study, in Business Systems Research Vol I, School of Business Systems, Clayton Vic Australia, pp. 158-166.

Guerrero, F., Smith, K.A., Lozano, S., 1998, Self-Organizing Neural Approach for Solving the Quadratic Assignment Problem, in Business Systems Research Vol II, School of Business Systems, Clayton Vic Australia, pp. 293-301.

Journal Articles

Duff, C., Smith-Miles, K., Lopes, L., Tian, T., 2012, Mathematical modelling of stem cell differentiation: the PU.1-GATA-1 interaction, Journal Of Mathematical Biology [P], vol 64, issue 3, Springer, Germany, pp. 449-468.

Smith-Miles, K.A., Lopes, L., 2012, Measuring instance difficulty for combinatorial optimization problems, Computers and Operations Research [P], vol 39, issue 5, Pergamon-Elsevier Science, Oxford England, pp. 875-889.

Phua, C., Smith-Miles, K.A., Lee, V.C., Gayler, R., 2012, Resilient identity crime detection, IEEE Transactions on Knowledge and Data Engineering [P], vol 24, issue 3, IEEE Computer Society, Los Alamitos CA USA, pp. 533-546.

Halley, J.D., Smith-Miles, K.A., Winkler, D.A., Kalkan, T., Huang, S., Smith, A., 2012, Self-organizing circuitry and emergent computation in mouse embryonic stem cells, Stem Cell Research [P], vol 8, issue 2, Elsevier Science BV, Amesterdam Netherlands, pp. 324-333.

Smith-Miles, K., van Hemert, J., 2011, Discovering the suitability of optimisation algorithms by learning from evolved instances, Annals Of Mathematics And Artificial Intelligence [P], vol 61, issue 2, Springer, Netherlands, pp. 87-104.

Geng, X., Smith-Miles, K., Zhou, Z., Wang, L., 2011, Face image modeling by multilinear subspace analysis with missing values, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics [P], vol 41, issue 3, IEEE, USA, pp. 881-892.

Brown, D., Famili, F., Paass, G., Smith-Miles, K., Thomas, L., Weber, R., Baeze-Yates, R., Bravo, C., Gaston, L., Sebastian, M., 2011, Future trends in business analytics and optimization, Intelligent Data Analysis [P], vol 15, issue 6, IOS Press, The Netherlands, pp. 1001-1017.

Carta, D., Villanova, L., Costacurta, S., Patelli, A., Poli, I., Vezzu, S., Scopece, P., Lisi, F., Smith-Miles, K., Hyndman, R., Hill, A., Falcaro, P., 2011, Method for optimizing coating properties based on an evolutionary algorithm approach, Analytical Chemistry [P], vol 83, issue 16, American Chemical Society, US, pp. 6373-6380.

Geng, X., Smith-Miles, K.A., Wang, L., Li, M., Wu, Q., 2010, Context-aware fusion: A case study on fusion of gait and face for human identification in video, Pattern Recognition [P], vol 43, issue 10, Elsevier Science Ltd, Oxford Oxon England, pp. 3660-3673.

Sturmberg, J.P., Siew, E., Churilov, L., Smith-Miles, K.A., 2009, Identifying patterns in primary care consultations: a cluster analysis, Journal of Evaluation in Clinical Practice [P], vol 15, issue 3, Wiley-Blackwell Publishing Inc, Malden USA, pp. 558-564.

Phua, C., Gayler, R., Lee, V.C., Smith-Miles, K., 2009, On the communal analysis suspicion scoring for identity crime in streaming credit applications, European Journal of Operational Research [P], vol 195, issue 2, Elsevier Science BV, Amsterdam Netherlands, pp. 595-612.

Wang, X., Smith-Miles, K., Hyndman, R.J., 2009, Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series, Neurocomputing, vol 72, Elsevier BV, Netherlands, pp. 2581-2594.

Smith-Miles, K., 2008, Cross-disciplinary perspectives on meta-learning for algorithm selection, ACM Computing Surveys, vol 41, issue 1, Association for Computing Machinery Inc, New York USA, pp. 1-25.

Geng, X., Smith-Miles, K.A., Zhou, Z., 2008, Individual stable space: an approach to face recognition under uncontrolled conditions, IEEE Transactions on Neural Networks [P], vol 19, issue 8, IEEE, USA, pp. 1354-1368.

Wickramasinghe, L.K., Alahakoon, D., Smith-Miles, K., 2007, A novel Episodic Associative Memory model for enhanced classification accuracy, Pattern Recognition Letters, vol 28, issue 10, Elsevier BV, Amsterdam The Netherlands, pp. 1193-1202.

Geng, X., Smith-Miles, K.A., Zhou, Z., 2007, Automatic age estimation based on facial aging patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence [P], vol 29, issue 12, IEEE Computer Soc, Los Alamitos CA USA, pp. 2234-2240.

Abraham, A., Smith, K.A., Jain, R., Jain, L., 2007, Network and information security: A computational intelligence approach Special Issue of Journal of Network and Computer Applications, Journal of Network and Computer Applications, vol 30, issue 1, Academic Press, UK, pp. 1-3.

Shawkat, A., Smith-Miles, K.A., 2007, On optimal degree selection for polynomial kernel with support vector machines: theoretical and empirical investigations, International Journal of Knowledge-Based and Intelligent Engineering Systems [P], vol 11, issue 1, IOS Press, Amsterdam Netherlands, pp. 1-18.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2007, Redundant association rules reduction techniques, International Journal of Business Intelligence and Data Mining, vol 2, issue 1, Inderscience Enterprises Ltd, UK, pp. 29-63.

Ali, S., Smith-Miles, K.A., 2006, A meta-learning approach to automatic kernel selection for support vector machines, Neurocomputing [P], vol 70, issue 1-3, Elsevier Science BV, Amsterdam Netherlands, pp. 173-186.

Wang, X.C., Smith, K.A., Hyndman, R.J., 2006, Characteristic-based clustering for time series data, The Journal of Data Mining and Knowledge Discovery, vol 13, issue 3, Springer New York LLC, New York USA, pp. 335-364.

Tan, L., Taniar, D., Smith, K.A., 2006, Maximum-entropy estimated distribution model for classification problems, International Journal of Hybrid Intelligent Systems, vol 3, issue 1, IOS Press, Amsterdam The Netherlands, pp. 1-10.

Ali, A.S., Smith, K.A., 2006, On learning algorithm selection for classification, Applied Soft Computing, vol 6, issue 2, Elsevier, Amsterdam The Netherlands, pp. 119-138.

Tan, L., Taniar, D., Smith, K.A., 2005, A clustering algorithm based on an estimated distribution model, International Journal of Business Intelligence and Data Mining, vol 1, issue 2, Inderscience Enterprises Ltd., UK, pp. 229-245.

Churilov, L., Bagirov, A.M., Schwartz, D.P., Smith, K.A., Dally, M., 2005, Data mining with combined use of optimization techniques and self-organizing maps for improving risk grouping rules: application to prostate cancer patients, Journal of Management Information Systems, vol 21, issue 4, M.E. Sharpe, Inc., USA, pp. 85-100.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2005, PPDAM: privacy-preserving distributed association-rule-mining algorithm, International Journal of Intelligent Information Technologies, vol 1, issue 1, Idea Group Publishing, Hershey USA, pp. 49-69.

Churilov, L., Siew, E., Smith, K.A., Wassertheil, J., 2005, Towards data-driven acute in-patient classification schemes: a hospital management perspective, Central European Journal of Operations Research, vol 13, issue 4, Physica-Verlag, Heidelberg Germany, pp. 365-392.

Kwok, T., Smith, K.A., 2004, A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization, IEEE Transactions on Neural Networks, vol 15, issue 1, IEEE, Piscataway USA, pp. 84-98.

Black, J., Benke, G.P., Smith, K.A., Fritschi, L., 2004, Artificial neural networks and job specific modules to assess occupational exposure, Annals of Occupational Hygiene, vol 48, issue 7, Oxford University Press, UK, pp. 595-600.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2004, ODAM: an optimized distributed association rule mining algorithm, IEEE Distributed Systems Online, vol 5, issue 3, IEEE Computer Society, USA, pp. 1-18.

Kwok, T., Smith, K.A., 2003, A self-organising neural network with intermittent switching dynamics for combinatorial optimisation, Frontiers in Artificial Intelligence and Applications: Design and Application of Hybrid Intelligent Systems, vol 104, IOS Press, Amsterdam The Netherlands, pp. 13-21.

Smith, K.A., Abramson, D.A., Duke, D., 2003, Hopfield neural networks for timetabling: formulations, methods, and comparative results, Computers & Industrial Engineering, vol 44, issue 2, Pergamon, UK, pp. 283-305.

Schwartz, D.P., Smith, K.A., Churilov, L., Dally, M.J., Weber, R., 2003, Improving risk grouping rules for prostate cancer patients using self-organising maps, Frontiers in Artificial Intelligence and Applications: Design and Application of Hybrid Intelligent Systems, vol 104, IOS Press, Amsterdam The Netherlands, pp. 126-135.

Ali, A., Smith, K.A., 2003, Matching SVM Kernel's suitability to data characteristics using tree by fuzzy C-means clustering, Frontiers in Artificial Intelligence and Applications: Design and Application of Hybrid Intelligent Systems, vol 104, IOS Press, Amsterdam The Netherlands, pp. 553-562.

Beh, C.C.K., Webley, P.A., Smith, K.A., 2003, The VSA process for oxygen enrichment: process description and dynamic modeling using neural networks, International Journal of General Systems, vol 5, issue 1, Taylor & Francis, Inc., Philadelphia USA, pp. 1-9.

Smith, K.A., Ng, A., 2003, Web page clustering using a self-organizing map of user navigation patterns, Decision Support Systems, vol 35, issue 2, Elsevier BV, The Netherlands, pp. 245-256.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2002, A data mining architecture for clustered environments, Lecture Notes in Computer Science, vol 2367, Springer-Verlag, Berlin Germany, pp. 89-98.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2002, A data mining architecture for distributed environments, Lecture Notes in Computer Science, vol 2346, Springer-Verlag, Berlin Germany, pp. 27-38.

Yeo, A.C., Smith, K.A., Willis, R.J., Brooks, M., 2002, A mathematical programming approach to optimise insurance premium pricing within a data mining framework, Journal of the Operational Research Society, vol 53, issue 11, Palgrave Publishers Ltd, Basingstoke England, pp. 1197-1203.

Dominguez, J.J., Lozano, S., Calle, M., Smith, K.A., 2002, A new method for combinatorial optimization: genetic neighborhood search, Neural Network World, vol 12, issue 6, Akademie Ved Ceske Republiky, Czech Republic, pp. 533-547.

Guerrero, F., Lozano, S., Smith, K.A., Canca, D., Kwok, T., 2002, Manufacturing cell formation using a new self-organizing neural network, Computers & Industrial Engineering, vol 42, Pergamon-Elsevier Science Ltd, Oxford England, pp. 377-382.

Smith, K.A., Potvin, J., Kwok, T., 2002, Neural network models for combinatorial optimization: a survey of deterministic, stochastic and chaotic approaches, Control and Cybernetics, vol 31, issue 2, Polish Academy of Sciences Systems Research Institute, Warsaw Poland, pp. 183-216.

Kwok, T., Smith, K.A., Lozano, S., Taniar, D., 2002, Parallel fuzzy c-means clustering for large data sets, Lecture Notes in Computer Science, vol 2400, Springer-Verlag, Berlin Germany, pp. 365-374.

Tan, L., Taniar, D., Smith, K.A., 2002, Parametric optimization in data mining incorporated with GA-based search, Lecture Notes in Computer Science, vol 2329, Springer-Verlag, Berlin Germany, pp. 582-591.

Yeo, A.C., Smith, K.A., Willis, R.J., Brooks, M., 2001, Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry, International Journal of Intelligent Systems in Accounting, Finance & Management, vol 10, issue 1, Wiley Europe Ltd, UK, pp. 39-50.

Smith, K.A., Gupta, J.N.D., 2001, Continuous function optimisation via gradient descent on a neural network approximation function, Lecture Notes in Computer Science, vol 2084, Springer-Verlag, Berlin Germany, pp. 741-748.

Lozano, S., Dominguez, J.J., Guerrero, F., Smith, K.A., 2001, Genetic Line Search, Lecture Notes in Computer Science, vol 2074, Springer-Verlag, Berlin Germany, pp. 318-326.

Yeo, A.C., Smith, K.A., Willis, R.J., Brooks, M., 2001, Modelling the effect of premium changes on motor insurance customer retention rates using neural networks, Lecture Notes in Computer Science, vol 2074, Springer-Verlag, Berlin Germany, pp. 390-399.

Kwok, T., Smith, K.A., 2001, Nonlinear system dynamics in the normalisation process of a self-organising network for combinational optimisation, Lecture Notes in Computer Science, vol 2084, Springer-Verlag, Berlin Germany, pp. 733-740.

Smith, K.A., Willis, R.J., Brooks, M., 2000, An Analysis of Customer Retention and Insurance Claim Patterns using Data Mining: A Case Study, Journal of the Operational Research Society, vol 51 no 5, Stockton Press, Basingstoke UK, pp. 532-541.

Kwok, T., Smith, K.A., 2000, Experimental Analysis of Chaotic Neural Network Models for Combinatorial Optimization under a Unifying Framework, Neural Networks, vol 13 no 7, Elsevier Science Ltd, Kidlington Oxford UK, pp. 731-744.

Smith, K.A., Gupta, J.N.D., 2000, Neural Networks in Business: Techniques and Applications for the Operations Researcher, Computers & Operations Research, vol 27 no 11-12, Elsevier Science Ltd, Exeter UK, pp. 1023-1044.

Kwok, T., Smith, K.A., 1999, A Unified Framework for Chaotic Neural-Network Approaches to Combinatorial Optimization, IEEE Transactions on Neural Networks, vol 10 no 4, IEEE, Inc., New York NY USA, pp. 978-981.

Smith, K.A., Abramson, D., Duke, D., 1999, Efficient Timetabling Formulations for Hopfield Networks, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining & Complex Systems, vol c dagli, a buczak, j ghosh, m embrechts, o ersoy, ASME Press, New York NY USA, pp. 1027-1032.

Smith, K.A., Abramson, D., Duke, D., 1999, Efficient timetabling formulations for Hopfield Networks, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining & Complex Systems, vol c dagli, a buczak et al., ASME Press, New York NY USA, pp. 1027-1032.

Smith, K.A., Sargent, G.F., Kim, B., 1999, Intelligent Approaches to Channel Assignment in Real Wireless Communication Networks, International Journal of Smart Engineering System Design, vol 2, Gordon & Breach Science Publishers, MALAYSIA, pp. 89-107.

Smith, K.A., 1999, Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research, INFORMS Journal on Computing, vol 11 no 1, INFORMS, Maryland USA, pp. 15-34.

Smith, K.A., Palaniswami, M., Krishnamoorthy, M., 1998, Neural Techniques for Combinatorial Optimisation with Applications, IEEE Transactions on Neural Networks, vol 9 no 6, IEEE Inc., New Jersey USA, pp. 1301-1318.

Wang, L., Smith, K.A., 1998, On Chaotic Simulated Annealing, IEEE Transactions on Neural Networks, vol 9 no 4, IEEE, New Jersey USA, pp. 716-718.

Smith, K.A., Palaniswami, M., 1997, Static and Dynamic Channel Assignment Using Neural Networks, IEEE Journal on Selected Areas in Communications, vol 15, IEEE Corporate Office, New York NY USA, pp. 238-249.

Conference Proceedings

Elgindy, K.T.M., Smith-Miles, K.A., Miller, B., 2013, Solving optimal control problems using a Gegenbauer transcription method, Proceedings of the 2012 Australian Control Conference, 15 November 2012 to 16 November 2012, Engineers Australia, Sydney Australia, pp. 417-424.

Wu, Q.Q., Smith-Miles, K.A., Tian, T., 2012, A two-variable model for stochastic modelling of chemical events with multi-step reactions, Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 04 October 2012 to 07 October 2012, IEEE, Philadelphia USA, pp. 270-275.

Smith-Miles, K.A., Tan, T.T., 2012, Measuring algorithm footprints in instance space, 2012 IEEE Congress on Evolutionary Computation, 10 June 2012 to 15 June 2012, Curran Associates Inc., New York USA, pp. 1-8.

Gunnersen, S.E., Smith, K.A., Lee, V.C., 2012, Towards objective data selection in bankruptcy prediction, 2012 IEEE Congress on Evolutionary Computation, 10 June 2012 to 15 June 2012, IEEE, Piscataway NJ USA, pp. 201-208.

Geng, X., Fang, E., Smith-Miles, K., 2011, Fusion of face and voice for automatic human age estimation, Proceedings of the 3rd International Conference on Computer Design and Applications, IEEE, Singapore, pp. 311-314.

Smith-Miles, K., Lopes, L., 2011, Generalising algorithm performance in instance space: A timetabling case study, Learning and Intelligent Optimization, 5th International Conference, Lion 5, Springer, Germany, pp. 524-538.

Lahda, S.N., Smith-Miles, K., Chandran, S., 2011, Projection defocus using adaptive kernel sampling and geometric correction in dual-planar environments, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2011, 20 June 2011 to 25 June 2011, IEEE, USA, pp. 9-14.

Gunnersen, S.E., Smith, K.A., Lee, V.C., 2011, SpecVCMV: Improving cluster visualisation, Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society, 7 November 2011 to 10 November 2011, IEEE, Piscataway NJ USA, pp. 2255-2260.

Geng, X., Smith-Miles, K.A., Zhou, Z., 2010, Facial age estimation by learning from label distributions, Proceedings of the Twenty-Fourth AAAI Conference on Artifical Intelligence, 11th July to 15th July 2010, The AAAI Press, California USA, pp. 451-456.

Villanova, L., Falcaro, P., Carta, D., Poli, I., Hyndman, R., Smith-Miles, K., 2010, Functionalization of microarray devices: process optimization using a multiobjective PSO and multiresponse MARS modeling, Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC), 18 July 2010 to 23 July 2010, IEEE-Institute of Electrical Electronic Engineers Inc, Atlanta USA, pp. 1-8.

Smith-Miles, K., Islam, R., 2010, Meta-learning for data summarization based on instance selection method, Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC),, IEEE-Institute of Electrical Electronic Engineers Inc, Atlanta USA, pp. 1-8.

Lopes, L., Smith-Miles, K.A., 2010, Pitfalls in instance generation for Udine timetabling, Learning and Intelligent Optimization, 18th to 22nd January 2010, Springer-Verlag Berlin Heidelberg, Germany, pp. 299-302.

Smith-Miles, K.A., van Hemert, J., Lim, X.Y., 2010, Understanding TSP difficulty by learning from evolved instances, Learning and Intelligent Optimization, 18th to 22nd January 2010, Springer-Verlag Berlin, Germany, pp. 266-280.

Smith-Miles, K.A., James, R.J.W., Giffin, J.W., Tu, Y., 2009, A knowledge discovery approach to understanding relationships between scheduling problem structure and heuristic performance, Learning and Intelligent Optimization, 14 January 2009 to 18 January 2009, Springer-Verlag, Germany, pp. 89-103.

Geng, X., Smith-Miles, K.A., Zhou, Z., Wang, L., 2009, Face image modeling by multilinear subspace anyalysis with missing values, Proceedings of the 17th ACM International Conference on Multimedia, 19 October 2009 to 23 October 2009, ACM, New York USA, pp. 629-632.

Geng, X., Wang, L., Li, M., Wu, Q., Smith-Miles, K.A., 2008, Adaptive fusion of gait and face for human identification in video, IEEE Workshop on Applications of Computer Vision, WACV 2008, 7 January 2008 to 9 January 2008, IEEE, USA, pp. 1-6.

Geng, X., Smith-Miles, K.A., Zhou, Z., 2008, Facial age estimation by nonlinear aging pattern subspace, International Multimedia Conference, 26 October 2008 to 31 October 2008, Association for Computing Machinery, New York USA, pp. 721-724.

Smith-Miles, K.A., 2008, Towards insightful algorithm selection for optimisation using meta-learning concepts, 2008 IEEE World Congress on Computational Intelligence, 01 June 2008 to 08 June 2008, IEEE, Hong Kong, pp. 4118-4124.

Siew, E., Churilov, L., Smith-Miles, K., Sturmberg, J., 2008, Using supervised and unsupervised techniques to determine groups of patients with different doctor-patient stability, Proceedings of the 12th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2008), 20 May 2008 to 23 May 2008, Springer-Verlag, Berlin Germany, pp. 715-722.

Phua, C., Lee, V.C., Smith-Miles, K., 2008, Utility of real-time decision-making in commercial data stream mining domains, Proceedings of the 2008 International Conference on Service Systems and Service Management, 30 June 2008 to 2 July 2008, Clayton School of IT, Monash University, Melbourne Vic Australia, pp. 46-51.

Phua, C.W.C., Lee, V.C., Smith-Miles, K., Gayler, R.W., 2007, Adaptive communal detection in search of adversarial identity crime, Proceedings of the 2007 International Workshop on Domain Driven Data Mining, 12 August 2007 to 15 August 2007, The Association for Computing Machinery Inc, New York NY USA, pp. 1-10.

Phua, C.W.C., Smith-Miles, K., Lee, V.C., Gayler, R., 2007, Adaptive spike detection for resilient data stream mining, Proceedings of the 6th Australasian Data Mining Conference (AusDM 2007), 3 December 2007 to 4 December 2007, Australian Computer Society Inc., Sydney NSW Australia, pp. 181-188.

Geng, X., Wang, L., Li, M., Wu, Q., Smith-Miles, K.A., 2007, Distance-driven fusion of gait and face for human identification in video, Proceedings of Image and Vision Computing, 05 December 2007 to 07 December 2007, University of Waikato, Hamilton New Zealand, pp. 19-24.

Smith-Miles, K.A., 2007, Meta-Learning: From classification to forecasting, to optimization, and beyond, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 11 July 2009 to 13 July 2009, IEEE Computer Society, Los Alamitos CA USA, p. 1145.

Amarasiri, R., Alahakoon, D., Smith-Miles, K., 2006, Clustering massive high dimensional data with dynamic feature maps, Proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2006), 24 September 2006 to 28 September 2006, Springer-Verlag, Germany, pp. 814-823.

Phua, C.W.C., Gayler, R.W., Smith-Miles, K., Lee, V.C., 2006, Communal detection of implicit personal identity streams, Proceedings of the ICDM Workshops 2006: Sixth IEEE International Conference on Data Mining - Workshops, 18 December 2006, IEEE Computer Society, Los Alamitos CA USA, pp. 620-625.

Chau, R., Yeh, C., Smith-Miles, K., 2006, Fuzzy-neuro web-based multilingual knowledge management, Proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2006), 24 September 2006 to 28 September 2006, Springer-Verlag, Berlin Germany, pp. 1229-1238.

Shawkat, A., Smith-Miles, K.A., 2006, Improved support vector machine generalization using normalized input space, AI 2006: Advances in Artificial Intelligence, Proceedings of 19th Australian Joint Conference on Artificial Intelligence, 4th December 2006 to 8th December 2006, Springer, Germany, pp. 362-371.

Chau, R., Smith-Miles, K., Yeh, C., 2006, Ontology learning from text: a soft computing paradigm, Proceedings of the 13th International Conference on Neural Information Processing (ICONIP 2006), 3 October 2006 to 6 October 2006, Springer-Verlag, Berlin Germany, pp. 295-301.

Phua, C.W.C., Lee, V.C., Gayler, R.W., Smith, K.A., 2006, Temporal representation in spike detection of sparse personal identity streams, Proceedings of the International Workshop on Intelligence and Security Informatics (WISI 2006), 9 April 2006 to 9 April 2006, Springer-Verlag, Germany, pp. 115-126.

Bedingfield, S.E., Smith-Miles, K., 2006, Two stage partial classification for inconsistent and imbalanced classes, Proceedings of the 2nd International Conference on Information and Automation 2006, 14 December 2006 to 17 December 2006, Faculty of Engineering, University of Moratuwa, Colombo Sri Lanka, pp. 167-171.

Chau, R., Yeh, C., Smith, K.A., 2005, A neural network model for hierarchical multilingual text categorization, Proceedings of the Second International Symposium on Neural Networks: Advances in Neural Networks (ISNN 2005), 30 May 2005 to 1 June 2005, Springer-Verlag, Germany, pp. 238-245.

Chau, R., Yeh, C., Smith, K.A., 2005, A personalized multilingual web content miner: PMWeb Miner, Proceedings of the International Conference on Computational Science and Its Applications (ICCSA 2005), 9 May 2005 to 12 May 2005, Springer-Verlag, Germany, pp. 956-965.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2005, An efficient compression technique for frequent itemset generation in association rule mining, Proceedings of the 9th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2005), 18 May 2005 to 20 May 2005, Springer-Verlag, Berlin Germany, pp. 125-135.

Wang, X.C., Smith, K.A., Hyndman, R.J., 2005, Characteristic-based Forecasting for Time Series Data, 25th International Symposium on Forecasting, 12/06/2005 to 15/06/2005, The International Institute of Forecasters, San Antonia TX USA, p. 57.

Wickramasinghe, L.K., Alahakoon, D., Smith, K.A., 2005, Computation of meta-learning classifiers in distributed data mining using a novel cognitive memory model, Proceedings of The 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 19 September 2005 to 22 September 2005, IEEE Computer Society, Los Alamitos USA, pp. 180-186.

Amarasiri, R., Alahakoon, D., Smith, K.A., Premaratne, M.H., 2005, HDGSOMr: a high dimensional growing self-organizing map using randomness for efficient web and text mining, Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 19 September 2005 to 22 September 2005, IEEE Computer Society, Los Alamitos USA, pp. 215-221.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2005, Redundant association rules reduction techniques, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2005), 5 December 2005 to 9 December 2005, Springer-Verlag, Berlin Germany, pp. 254-263.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2004, A new approach of eliminating redundant association rules, Proceedings of the 15th International Conference on Database and Expert Systems Applications (DEXA 2004), 30 August 2004 to 3 September 2004, Springer-Verlag, Berlin Germany, pp. 465-474.

Bedingfield, S.E., Smith, K.A., 2004, An optimisation methodology for multi parameter heuristics, Proceedings IEEE 4th International Conference on Intelligent Systems Design and Application, 26 August 2004 to 28 August 2004, Attila L. Bencsik, Budapest Hungary, pp. 457-460.

Amarasiri, R., Alahakoon, D., Smith, K.A., 2004, Applications of the Growing Self Organizing Map on high dimensional data, Proceedings of the 6th International Information Technology Conference, 29 November 2004 to 01 December 2004, Infotel Lanka Society Ltd, Sri Lanka, pp. 169-174.

Amarasiri, R., Alahakoon, D., Smith, K.A., 2004, HDGSOM: A modified growing self-organizing map for high dimensional data clustering, Proceedings of 4th International Conference on Hybrid Intelligent Systems, 5 December 2004 to 8 December 2004, IEEE Computer Society Press, Los Alamitos CA USA, pp. 216-221.

Churilov, L., Bagirov, A.M., Schwartz, D.P., Smith, K.A., Dally, M.J., 2004, Improving risk grouping rules for prostate cancer patients with optimization, Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 05 January 2004 to 08 January 2004, IEEE Computer Society, Los Alamitos USA, pp. 1-9.

Wang, X.C., Alahakoon, D., Smith, K.A., 2004, Neural network based analysis of temporal search patterns in query logs, International Conference on Intelligent Agents, Web Technologies, and Internet Commerce, 12 July 2004 to 14 July 2004, University of Canberra, Canberra ACT Australia, pp. 396-407.

Chau, R., Yeh, C., Smith, K.A., 2004, Personalized multilingual web content mining, Proceedings of the 8th International Conference in Knowledge-Based Intelligent Information and Engineering Systems (KES 2004), 20 September 2004 to 25 September 2004, Springer-Velag, Berlin Germany, pp. 155-163.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2004, Reducing communication cost in a privacy preserving distributed association rule mining, Proceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), 17 March 2004 to 19 March 2004, Springer-Verlag, Berlin Germany, pp. 381-392.

Siew, E., Churilov, L., Smith, K.A., Sturmberg, J.P., 2004, Using data mining techniques to identify groups of patients with different consultation satisfaction in general practice, Proceedings of the Sixth International Conference on Optimization: Techniques and Applications (ICOTA6 2004), 09 December 2004 to 11 December 2004, University of Ballarat, Ballarat Vic Australia, pp. 1-12.

Calle, M., Lozano, S., Smith, K.A., Kwok, T., Dominguez, J.J., 2003, A DTD for an XML-based mathematical modeling language, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 968-977.

Siew, E., Smith, K.A., Churilov, L., Wassertheil, J., 2003, A comparison of patient classification using data mining in acute health care, Advances in Soft Computing: Intelligent Systems Design and Applications, 10 August 2003 to 13 August 2003, Springer-Verlag, Berlin Germany, pp. 599-608.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2003, A compress-based association mining algorithm for large dataset, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 978-987.

Tan, L., Taniar, D., Smith, K.A., 2003, Adaptive estimation of distribution algorithm with maximum entropy principle, Proceedings of the Fourth International Conference on Intelligent Technologies 2003, 17 December 2003 to 19 December 2003, Chiang Mai University, Chiang Mai Thailand, pp. 597-606.

Calle, M., Lozano, S., Smith, K.A., Villa, G., 2003, An XML schema definition for an operations research modeling language, Frontiers in Artificial Intelligence and Applications: Design and Application of Hybrid Intelligent Systems, 14 December 2003 to 17 December 2003, IOS Press, Amsterdam The Netherlands, pp. 311-320.

Ali, S., Smith, K.A., 2003, Automatic parameter selection for polynomial Kernel, Proceedings of The 2003 IEEE International Conference on Information Reuse and Integration (IRI 2003), 27 October 2003 to 29 October 2003, IEEE, Piscataway NJ, pp. 243-249.

Chau, R., Yeh, C., Smith, K.A., 2003, Developing a personal multilingual web space, Proceedings of the 21st IASTED International Conference on Applied Informatics, 10 February 2003 to 13 February 2003, ACTA Press, Zurich AUSTRIA, pp. 145-150.

Bedingfield, S.E., Smith, K.A., 2003, Evolutionary rule generation classification and its application to multi-class data, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 868-876.

Parejo, J.A., Racero, J., Guerrero, F., Kwok, T., Smith, K.A., 2003, FOM: a framework for metaheuristic optimization, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 886-895.

Wang, X.C., Alahakoon, D., Smith, K.A., 2003, Improved web searching through neural network based index generation, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 151-158.

Kwok, T., Smith, K.A., 2003, Performance-enhancing bifurcations in a self-organising neural network, Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks (IWANN 2003): Computational Methods in Neural Modeling, 3 June 2003 to 6 June 2003, Springer-Verlag, New York USA, pp. 390-397.

Bedingfield, S.E., Smith, K.A., 2003, Predicting bad credit risk: an evolutionary approach, Proceedings of the Joint International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP 2003), 26 June 2003 to 29 June 2003, Springer-Verlag, New York USA, pp. 1081-1088.

Siew, E., Smith, K.A., Churilov, L., Wassertheil, J., 2002, A comparison of supervised and unsupervised learning approaches to ISO-resource grouping for acute healthcare in Australia, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery, 18 November 2002 to 22 November 2002, Nanyang Technological University, Singapore, pp. 601-605.

Siew, E., Smith, K.A., Churilov, L., Ibrahim, M., 2002, A neural clustering approach to iso-resource grouping for acute healthcare in Australia, Proceedings of the Thirty-Fifth Annual Hawaii International Conference on System Sciences, 07 January 2002 to 10 January 2002, IEEE Computer Society, Piscataway NJ USA, pp. 1-10.

Tan, L., Taniar, D., Smith, K.A., 2002, A taxonomy for inter-model parallelism in high performance data mining, Proceedings of the Fourth International Conference on Enterprise Information Systems, 03 April 2002 to 06 April 2002, ICEIS Press, Portugal, pp. 534-539.

Ashrafi, M.Z., Taniar, D., Smith, K.A., 2002, An association mining algorithm for distributed information sources, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 18 November 2002 to 22 November 2002, Nanyang Technological University, Singapore, pp. 512-516.

Kwok, T., Smith, K.A., 2002, Chaotic dynamics of the self-organising neural network with weight normalisation for combinatorial optimisation, Proceedings of the Third International NAISO Symposium on Engineering of Intelligent Systems, 24 September 2002 to 27 September 2002, ICSC-NAISO Academic Press, Sliedrecht The Netherlands, pp. 1-7.

Kwok, T., Smith, K.A., 2002, Characteristic updating-normalisation dynamics of a self-organising neural network for enhanced combinatorial optimisation, Proceedings of the 9th International Conference on Neural Information Processing, 18 November 2002 to 22 November 2002, Nanyang Technological University, Singapore, pp. 1146-1152.

Garcia, J.M., Lozano, S., Smith, K.A., Kwok, T., Villa, G., 2002, Coordinated scheduling of production and delivery from multiple plants and with time windows using genetic algorithms, Proceedings of the 9th International Conference on Neural Information Processing, 18 November 2002 to 22 November 2002, Nanyang Technological University, Singapore, pp. 1153-1158.

Chau, R., Yeh, C., Smith, K.A., 2002, Multilingual text mining for global knowledge exploration using self-organising maps, Proceedings of the International Conference on Information and Knowledge Engineering, 24 June 2002 to 27 June 2002, CSREA Press, USA, pp. 65-71.

Wang, X., Abraham, A., Smith, K.A., 2002, Soft computing paradigms for web access pattern analysis, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery, 18 November 2002 to 22 November 2002, Nanyang Technological University, Singapore, pp. 631-635.

Lokmic, L., Smith, K.A., 2000, Cash Flow Forecasting using Supervised and Unsupervised Neural Networks, International Joint Conference on Neural Networks, Como Italy, July 24-27 2000, IEEE Computer Society, New Jersey USA.

Kwok, T., Smith, K.A., 2000, Improving the Optimisation of a Self-Organising Neural Network with Weight Normalisation, Intelligent Systems & Application, Wollongong Australia, 12-15 December 2000, Int. Comp. Science Conventions Academy Press, Alberta Canada.

Smith, K.A., 1999, A Data-Driven Rule-Based Neural Network Model for Classification, 6th International Conference on Neural Information Processing Proceedings, Perth AUSTRALIA, November 16-20, 1999, IEEE, Inc., New Jersey USA, pp. 855-860.

Bedingfield, S.E., Smith, K.A., 1999, Evolutionary Rule Generation in an Information System, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining & Complex Systems, St Louis USA November, ASME Press, New York NY USA, pp. 485-491.

Smith, K.A., Siew, E., Milne, B.J., Luxford, K.B.G., 1999, Neural Networks for Software Metrics Estimation, Smart Engineering Sytems Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, St Louis USA, November 7-10, 1999, ASME Press, New York NY USA, pp. 1073-1078.

Smith, K.A., 1998, A Genetic Algorithm for the Channel Assignment Problem, Globecom'98 - IEEE Global Telecommunications, Sydney 8-12 November, IEEE, New Jersey USA, pp. 2013-2017.

Lozano, S., Guerrero, F., Eguia, I., Canca, D., Smith, K.A., 1998, Cell Formation Using Two Neural Networks in Series, Intelligent Engineering Systems Through Artificial Neural Networks, St Louis USA 1-4 November 1998, ASME Press, New York NY USA, pp. 341-346.

Wang, L., Smith, K.A., 1998, Chaos in the Discretized Analog Hopfield Neural Network and Potential Applications to Optimization, International Conference on Neural Networks, Anchorage Alaska USA 4 May, IEEE, New Jersey USA, pp. 1679-1684.

Abramson, D.A., Smith, K.A., Logothetis, P., Duke, D., 1998, FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems, 24th Euromicro 98, Vasteras Sweden 25-27August 1998, IEEE Inc., New Jersey USA, pp. 688-693.

Abramson, D., Smith, K.A., Logothetis, P., Duke, D., 1998, FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems, Proceedings of the 24th EUROMICRO Conference, Vasteras Sweden, 25-27 August 1998, IEEE Inc., Piscataway USA, pp. 688-693.

Kwok, T., Smith, K.A., Wang, L., 1998, Incorporating Choas into the Hopfield Neural Network for Combinatorial Optimisation, World Multiconference on Systemics, Cybernetics and Informatics, Orlando Florida USA 12-16 July, Int. Institute for Informatics and Systemics, New York NY USA, pp. 659-665.

Smith, K.A., Gupta, J., 1998, Integrating Feedforward and Feedback Neural Networks for Optimisation, Intelligent Engineering Systems Through Artificial Neural Networks, St Louis 1-4 November 1998, American Society of Mechanical Engineers Press, New York NY USA, pp. 69-74.

Guerrero, F., Lozano, S., Canca, D., Smith, K.A., 1998, Machine Grouping in Cellular Manufacturing: A Self Organizing Neural Network, Engineering Benefits from Neural Networks, Gibraltar 10-12 June, Systems Engineering Association, Turku FINLAND, pp. 374-377.

Smith, K.A., Kim, B.K., Sargent, G., 1998, Minimising Channel Interference In Real Cellular Radio Networks, Globecom'98 - IEEE Global Telecommunications, Sydney 8-12 November, IEEE, New Jersey USA, pp. 2192-2197.

Kwok, T., Smith, K.A., Wang, L., 1998, Solving Combinatorial Optimization Problems by Chaotic Neural Networks, Intelligent Engineering Systems Through Artificial Neural Networks, St Louis USA 1-4 November 1998, American Soc of Mech Enginners Press, New York NY USA, pp. 317-322.

Smith, K.A., 1997, Optimal Airport Hub Location Using Neural Networks, Intelligent Engineering Systems through Artificial Neural Networks, St Louis, Miss., November 9-11, ASME Press, New York NY USA, pp. 911-916.

Other

Smith-Miles, K., 2011, Exploratory data analysis, International Encyclopedia of Statistical Science, vol encyclopedia, Springer, Berlin, pp. 486-488.

Amarasiri, R., Alahakoon, D., Premaratne, M.H., Smith, K.A., 2005, Enhancing clustering performance of feature maps using randomness, Workshop on Self-Organizing Maps 2005, Paris.

Postgraduate Research Supervisions

Current Supervision

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Gegenbauer collocation integration methods: advances in computational optimal control theory.

Supervisors:

Smith-Miles, K (Main), Miller, B (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Multi-scale stochastic modelling of genetic regulatory networks.

Supervisors:

Tian, T (Main), Smith-Miles, K (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Optimizatin of electrode array currents for neural prosthetic applications.

Supervisors:

Lopes, L (Joint), Smith-Miles, K (Joint-co).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Real time change detection in time-series.

Supervisors:

Smith-Miles, K (Main), Belusic, D (Associate).

Completed Supervision

Student:

Ali, A.

Program of Study:

AUTOMATED SUPPORT VECTOR LEARNING ALGORITHMS. (PHD) 2004.

Supervisors:

Smith-Miles, K (Main).

Student:

Amarasiri, R.

Program of Study:

Efficient high dimensional data mining with dynamic feature maps. (PHD) 2006.

Supervisors:

Alahakoon, L (Main), Smith-Miles, K (Associate).

Student:

Ashrafi, M.

Program of Study:

Efficient and scalable association rule mining algorithms. (PHD) 2006.

Supervisors:

Taniar, D (Main), Smith-Miles, K (Associate).

Student:

Bedingfield, S.

Program of Study:

Evolutionary rule generation for classification and prediction. (PHD) 2010.

Supervisors:

Smith-Miles, K (Main), Alahakoon, L (Associate).

Student:

Black, J.

Program of Study:

APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN EPIDEMIOLOGY: PREDICTION AND CLASSIFICATION.. (PHD) 2002.

Supervisors:

Cicuttini, F (Main), Smith-Miles, K (Associate).

Student:

Boonyanunta, N.

Program of Study:

INTELLIGENT SYSTEMS IN BANK LENDING. (Masters) 2000.

Supervisors:

Smith-Miles, K (Main).

Student:

Chand, P.

Program of Study:

Non-linear optimisation and constraint modelling of electricity markets using horizon-scan. (PHD) 2006.

Supervisors:

Sugianto, L (Main), Smith-Miles, K (Associate).

Student:

Ebery, J.

Program of Study:

FORMULATIONS AND SOLUTION ALGORITHMS FOR A CLASS OF DISCRETE HUB LOCATION PROBLEMS. (PHD) 2001.

Supervisors:

Chu, K (Main), Smith-Miles, K (Associate).

Student:

Insani, N.

Program of Study:

On the suitability of solution strategies for classes of graph coloring instances. (Masters) 2011.

Supervisors:

Smith-Miles, K (Main), Baatar, D (Associate).

Student:

Kwok, T.

Program of Study:

NEURAL NETWORKS WITH NONLINEAR SYSTEM DYNAMICS FOR COMBINATORIAL OPTIMIZATION. (PHD) 2001.

Supervisors:

Smith-Miles, K (Main).

Student:

Mateevici, F.

Program of Study:

A Comparison Between Traditional and Intelligent Techniques for Predicting Customer Value. (Masters) 2004.

Supervisors:

Smith-Miles, K (Main), Yeo, A (Associate).

Student:

Ng, M.

Program of Study:

LOGSON: WEB USAGE MINING UTILISING A SELF-ORGANISING MAP. (Masters) 2000.

Supervisors:

Smith-Miles, K (Main).

Student:

Phua, C.

Program of Study:

Data mining in resilient identity crime detection. (PHD) 2007.

Supervisors:

Smith-Miles, K (Main), Lee, V (Joint).

Student:

Segovia Riquelme, C.

Program of Study:

Integration of Data Mining, Game Theory and Optimization for tackling crime. (Masters) 2012.

Supervisors:

Smith-Miles, K (Main).

Student:

Siew, E.

Program of Study:

TOWARDS DATA-DRIVEN PATIENT CLASSIFICATION IN ACUTE AND PRIMARY CARE. (PHD) 2004.

Supervisors:

Smith-Miles, K (Main), Churilov, L (Associate).

Student:

Tan, L.

Program of Study:

MAXIMUM ENTROPY ESTIMATED DISTRIBUTION METHODOLOGY FOR CLUSTERING AND CLASSIFICATION. (PHD) 2005.

Supervisors:

Taniar, D (Main), Smith-Miles, K (Associate).

Student:

Wang, X.

Program of Study:

Characteristic-based forecasting for time series data. (PHD) 2005.

Supervisors:

Smith-Miles, K (Main), Alahakoon, L (Associate).

Student:

Wickramasinghe, L.

Program of Study:

Enhancing learning and adaptation of agents based on human behaviour and cognitive memory modelling techniques. (PHD) 2006.

Supervisors:

Alahakoon, L (Main), Smith-Miles, K (Associate).

Student:

Yang, Y.

Program of Study:

DISCRETISATION FOR NAIVE-BAYES LEARNING. (PHD) 2003.

Supervisors:

Webb, G (Main), Smith-Miles, K (Associate).

Student:

Yeo, A.

Program of Study:

DATA MINING IN THE AUTOMOBILE INSURANCE INDUSTRY. (PHD) 2002.

Supervisors:

Smith-Miles, K (Main).