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Kate Smith-Miles
Kate Amanda Smith-Miles – Kate A. Smith
2010 – today
- 2013
[j40]Kareem T. Elgindy, Kate Amanda Smith-Miles: Optimal Gegenbauer quadrature over arbitrary integration nodes. J. Computational Applied Mathematics 242: 82-106 (2013)
[j39]Kareem T. Elgindy, Kate Amanda Smith-Miles: Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method. J. Computational Applied Mathematics 251: 93-116 (2013)- 2012
[j38]Kate Smith-Miles, Leo Lopes: Measuring instance difficulty for combinatorial optimization problems. Computers & OR 39(5): 875-889 (2012)
[j37]Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler: Resilient Identity Crime Detection. IEEE Trans. Knowl. Data Eng. 24(3): 533-546 (2012)
[c70]Qianqian Wu, Kate Smith-Miles, Tianhai Tian: A two-variable model for stochastic modelling of chemical events with multi-step reactions. BIBM 2012: 1-6
[c69]Sverre Gunnersen, Kate Smith-Miles, Vincent C. S. Lee: Towards objective data selection in bankruptcy prediction. IEEE Congress on Evolutionary Computation 2012: 1-8
[c68]Kate Smith-Miles, Thomas T. Tan: Measuring algorithm footprints in instance space. IEEE Congress on Evolutionary Computation 2012: 1-8- 2011
[j36]Kate Smith-Miles, Jano I. van Hemert: Discovering the suitability of optimisation algorithms by learning from evolved instances. Ann. Math. Artif. Intell. 61(2): 87-104 (2011)
[j35]Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo A. Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado: Future trends in business analytics and optimization. Intell. Data Anal. 15(6): 1001-1017 (2011)
[j34]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang: Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(3): 881-892 (2011)
[c67]
[p3]Kate Amanda Smith-Miles, Rafiqul M. D. Islam: Meta-Learning of Instance Selection for Data Summarization. Meta-Learning in Computational Intelligence 2011: 77-95- 2010
[j33]Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu: Context-aware fusion: A case study on fusion of gait and face for human identification in video. Pattern Recognition 43(10): 3660-3673 (2010)
[c66]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou: Facial Age Estimation by Learning from Label Distributions. AAAI 2010
[c65]Kate Smith-Miles, Rafiqul M. D. Islam: Meta-learning for data summarization based on instance selection method. IEEE Congress on Evolutionary Computation 2010: 1-8
[c64]Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J. Hyndman, Kate Smith-Miles: Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. IEEE Congress on Evolutionary Computation 2010: 1-8
[c63]Kate Smith-Miles, Jano I. van Hemert, Xin Yu Lim: Understanding TSP Difficulty by Learning from Evolved Instances. LION 2010: 266-280
[c62]
[i1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles, Ross W. Gayler: A Comprehensive Survey of Data Mining-based Fraud Detection Research. CoRR abs/1009.6119 (2010)
2000 – 2009
- 2009
[j32]Clifton Phua, Ross W. Gayler, Vincent C. S. Lee, Kate Smith-Miles: On the communal analysis suspicion scoring for identity crime in streaming credit applications. European Journal of Operational Research 195(2): 595-612 (2009)
[j31]Xiaozhe Wang, Kate Amanda Smith-Miles, Rob J. Hyndman: Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. Neurocomputing 72(10-12): 2581-2594 (2009)
[c61]Xin Geng, Kate Smith-Miles: Facial age estimation by multilinear subspace analysis. ICASSP 2009: 865-868
[c60]Kate Smith-Miles, Ross J. W. James, John W. Giffin, Yiqing Tu: A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance. LION 2009: 89-103
[c59]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang: Face image modeling by multilinear subspace analysis with missing values. ACM Multimedia 2009: 629-632
[r2]
[r1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles: The Personal Name Problem and a Data Mining Solution. Encyclopedia of Data Warehousing and Mining 2009: 1524-1531- 2008
[j30]Kate Smith-Miles: Cross-disciplinary perspectives on meta-learning for algorithm selection. ACM Comput. Surv. 41(1) (2008)
[j29]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles: Correction to "Automatic Age Estimation Based on Facial Aging Patterns". IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 368 (2008)
[j28]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles: Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. IEEE Transactions on Neural Networks 19(8): 1354-1368 (2008)
[c58]Kate Amanda Smith-Miles: Towards insightful algorithm selection for optimisation using meta-learning concepts. IJCNN 2008: 4118-4124
[c57]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou: Facial age estimation by nonlinear aging pattern subspace. ACM Multimedia 2008: 721-724
[c56]Eu-Gene Siew, Leonid Churilov, Kate Smith-Miles, Joachim P. Sturmberg: Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability. PAKDD 2008: 715-722
[c55]Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles: Adaptive Fusion of Gait and Face for Human Identification in Video. WACV 2008: 1-6- 2007
[j27]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: Redundant association rules reduction techniques. IJBIDM 2(1): 29-63 (2007)
[j26]Ajith Abraham, Kate A. Smith, Ravi Jain, Lakhmi C. Jain: Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications. J. Network and Computer Applications 30(1): 1-3 (2007)
[j25]Shawkat Ali, Kate Smith-Miles: On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations. KES Journal 11(1): 1-18 (2007)
[j24]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles: Automatic Age Estimation Based on Facial Aging Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2234-2240 (2007)
[j23]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate Smith-Miles: A novel Episodic Associative Memory model for enhanced classification accuracy. Pattern Recognition Letters 28(10): 1193-1202 (2007)
[c54]Kate Smith-Miles: Meta-Learning: From Classification to Forecasting, to Optimization, and Beyond. ACIS-ICIS 2007: 2
[c53]Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler: Adaptive Spike Detection for Resilient Data Stream Mining. AusDM 2007: 181-188- 2006
[j22]Shawkat Ali, Kate A. Smith: On learning algorithm selection for classification. Appl. Soft Comput. 6(2): 119-138 (2006)
[j21]Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman: Characteristic-Based Clustering for Time Series Data. Data Min. Knowl. Discov. 13(3): 335-364 (2006)
[j20]Ling Tan, David Taniar, Kate A. Smith: Maximum-entropy estimated distribution model for classification problems. Int. J. Hybrid Intell. Syst. 3(1): 1-10 (2006)
[j19]Shawkat Ali, Kate Amanda Smith-Miles: A meta-learning approach to automatic kernel selection for support vector machines. Neurocomputing 70(1-3): 173-186 (2006)
[c52]Shawkat Ali, Kate Amanda Smith-Miles: Improved Support Vector Machine Generalization Using Normalized Input Space. Australian Conference on Artificial Intelligence 2006: 362-371
[c51]Rowena Chau, Chung-Hsing Yeh, Kate Smith-Miles: Fuzzy-neuro Web-Based Multilingual Knowledge Management. FSKD 2006: 1229-1238
[c50]Clifton Phua, Ross W. Gayler, Kate Smith-Miles, Vincent C. S. Lee: Communal Detection of Implicit Personal Identity Streams. ICDM Workshops 2006: 620-625
[c49]Rowena Chau, Kate Amanda Smith-Miles, Chung-Hsing Yeh: Ontology Learning from Text: A Soft Computing Paradigm. ICONIP (3) 2006: 295-301
[c48]Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles: Clustering Massive High Dimensional Data with Dynamic Feature Maps. ICONIP (2) 2006: 814-823
[c47]Clifton Phua, Vincent C. S. Lee, Ross W. Gayler, Kate A. Smith: Temporal Representation in Spike Detection of Sparse Personal Identity Streams. WISI 2006: 115-126- 2005
[j18]
[j17]Ling Tan, David Taniar, Kate A. Smith: A clustering algorithm based on an estimated distribution model. IJBIDM 1(2): 229-245 (2005)
[j16]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: PPDAM: Privacy-Preserving Distributed Association-Rule-Mining Algorithm. IJIIT 1(1): 49-69 (2005)
[j15]Shawkat Ali, Kate A. Smith: Kernal Width Selection for SVM Classification: A Meta-Learning Approach. IJDWM 1(4): 78-97 (2005)
[j14]Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally: Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. J. of Management Information Systems 21(4): 85-100 (2005)
[j13]Xiaozhe Wang, Ajith Abraham, Kate A. Smith: Intelligent web traffic mining and analysis. J. Network and Computer Applications 28(2): 147-165 (2005)
[j12]Terence Kwok, Kate A. Smith: Optimization via Intermittency with a Self-Organizing Neural Network. Neural Computation 17(11): 2454-2481 (2005)
[c46]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: Redundant Association Rules Reduction Techniques. Australian Conference on Artificial Intelligence 2005: 254-263
[c45]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate A. Smith: Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model. IAT 2005: 180-186
[c44]Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman: Dimension Reduction for Clustering Time Series Using Global Characteristics. International Conference on Computational Science (3) 2005: 792-795
[c43]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith: A Personalized Multilingual Web Content Miner: PMWeb Miner. ICCSA (2) 2005: 956-965
[c42]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith: A Neural Network Model for Hierarchical Multilingual Text Categorization. ISNN (2) 2005: 238-245
[c41]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining. PAKDD 2005: 125-135
[c40]Rasika Amarasiri, Damminda Alahakoon, Kate A. Smith, Malin Premaratne: HDGSOMr: A High Dimensional Growing Self-Organizing Map Using Randomness for Efficient Web and Text Mining. Web Intelligence 2005: 215-221
[p2]Xiaozhe Wang, Ajith Abraham, Kate A. Smith: Soft Computing Paradigms for Web Access Pattern Analysis. Classification and Clustering for Knowledge Discovery 2005: 233-250
[p1]Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Jeff Wassertheil: A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia. Classification and Clustering for Knowledge Discovery 2005: 283-303- 2004
[j11]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: ODAM: An Optimized Distributed Association Rule Mining Algorithm. IEEE Distributed Systems Online 5(3) (2004)
[j10]Terence Kwok, Kate A. Smith: A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization. IEEE Transactions on Neural Networks 15(1): 84-98 (2004)
[c39]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining. DASFAA 2004: 381-392
[c38]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: A New Approach of Eliminating Redundant Association Rules. DEXA 2004: 465-474
[c37]Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally: Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004
[c36]Rasika Amarasiri, L. Damminda Alahakoon, Kate A. Smith: HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering. HIS 2004: 216-221
[c35]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith: Personalized Multilingual Web Content Mining. KES 2004: 155-163- 2003
[j9]Kate A. Smith, Alan Ng: Web page clustering using a self-organizing map of user navigation patterns. Decision Support Systems 35(2): 245-256 (2003)
[c34]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith: Developing a Personal Multilingual Web Space. Applied Informatics 2003: 145-150
[c33]Terence Kwok, Kate A. Smith: A Self-Organising Neural Network with Intermittent Switching for Combinatorial Optimisation. HIS 2003: 13-21
[c32]Daniel Schwartz, Kate A. Smith, Leonid Churilov, Michael Dally, Richard Weber: Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. HIS 2003: 126-136
[c31]Marcos Calle, Sebastián Lozano, Kate A. Smith, Gabriel Villa: An XML Schema Definition for an Operations Research Modeling Language. HIS 2003: 311-320
[c30]Shawkat Ali, Kate A. Smith: Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering. HIS 2003: 553-562
[c29]Susan E. Bedingfield, Kate A. Smith: Predicting Bad Credit Risk: An Evolutionary Approach. ICANN 2003: 1081-1088
[c28]Xiaozhe Wang, Damminda Alahakoon, Kate A. Smith: Improved Web Searching through Neural Network Based Index Generation. International Conference on Computational Science 2003: 151-158
[c27]Susan E. Bedingfield, Kate A. Smith: Evolutionary Rule Generation Classification and Its Application to Multi-class Data. International Conference on Computational Science 2003: 868-876
[c26]J. A. Parejo, Jesús Racero, Fernando Guerrero, Terence Kwok, Kate A. Smith: FOM: A Framework for Metaheuristic Optimization. International Conference on Computational Science 2003: 886-895
[c25]Marcos Calle, Sebastián Lozano, Kate A. Smith, Terence Kwok, Juan José Domínguez: A DTD for an XML-Based Mathematical Modeling Language. International Conference on Computational Science 2003: 968-977
[c24]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: A Compress-Based Association Mining Algorithm for Large Dataset. International Conference on Computational Science 2003: 978-987
[c23]
[c22]Terence Kwok, Kate A. Smith: Performance-Enhancing Bifurcations in a Self-Organising Neural Network. IWANN (1) 2003: 390-397
[c21]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: Towards Privacy Preserving Distributed Association Rule Mining. IWDC 2003: 279-289- 2002
[c20]Terence Kwok, Kate A. Smith, Sebastián Lozano, David Taniar: Parallel Fuzzy c-Means Clustering for Large Data Sets. Euro-Par 2002: 365-374
[c19]Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Jeff Wassertheil: A Comparison of Supervised and Unsupervised Learning Approaches to ISO-Resource Grouping for Acute Healthcare in Australia. FSKD 2002: 601-605
[c18]Xiaozhe Wang, Ajith Abraham, Kate A. Smith: Soft Computing Paradigms for Web Access Pattern Analysis. FSKD 2002: 631-635
[c17]Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Mohamed Ibrahim: A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia. HICSS 2002: 154
[c16]Xiaozhe Wang, Kate A. Smith: Clustering Web User Interests Using Self Organising Maps. HIS 2002: 843-852
[c15]Xiaozhe Wang, Ajith Abraham, Kate A. Smith: Web Traffic Mining Using a Concurrent Neuro-Fuzzy Approach. HIS 2002: 853-862
[c14]Ling Tan, David Taniar, Kate A. Smith: Parametric Optimization in Data Mining Incorporated with GA-Based Search. International Conference on Computational Science (1) 2002: 582-591
[c13]Ling Tan, David Taniar, Kate A. Smith: A Taxonomy for Inter-Model Parallelism in High Performance Data Mining. ICEIS 2002: 534-539
[c12]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: A Data Mining Architecture for Distributed Environments. IICS 2002: 27-38
[c11]
[c10]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith: A Data Mining Architecture for Clustered Environments. PARA 2002: 89-98- 2001
[j8]Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks: Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry. Int. Syst. in Accounting, Finance and Management 10(1): 39-50 (2001)
[c9]Kate A. Smith, Frederick Woo, Victor Ciesielski, Remzi Ibrahim: Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map. HIS 2001: 169-179
[c8]José M. García, Kate A. Smith, Sebastián Lozano, Fernando Guerrero: A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem. HIS 2001: 431-447
[c7]Kate A. Smith, Sheldon Chuan, Peter van der Putten: Determining the Validity of Clustering for Data Fusion. HIS 2001: 627-636
[c6]Sebastián Lozano, Juan José Domínguez, Fernando Guerrero, Kate A. Smith: Genetic Line Search. International Conference on Computational Science (2) 2001: 318-326
[c5]Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks: Modelling the Effect of Premium Changes on Motor Insurance Customer Retention Rates Using Neural Networks. International Conference on Computational Science (2) 2001: 390-399
[c4]Terence Kwok, Kate A. Smith: Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation. IWANN (1) 2001: 733-740
[c3]Kate A. Smith, Jatinder N. D. Gupta: Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function. IWANN (1) 2001: 741-748- 2000
[j7]Kate A. Smith, Jatinder N. D. Gupta: Neural networks in business: techniques and applications for the operations researcher. Computers & OR 27(11-12): 1023-1044 (2000)
[j6]Terence Kwok, Kate A. Smith: Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework. Neural Networks 13(7): 731-744 (2000)
[c2]Larisa Lokmic, Kate A. Smith: Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. IJCNN (6) 2000: 343-347
1990 – 1999
- 1999
[j5]Kate A. Smith: Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research. INFORMS Journal on Computing 11(1): 15-34 (1999)
[j4]Terence Kwok, Kate A. Smith: A unified framework for chaotic neural-network approaches to combinatorial optimization. IEEE Transactions on Neural Networks 10(4): 978-981 (1999)- 1998
[j3]Kate A. Smith, Marimuthu Palaniswami, M. Krishnamoorthy: Neural techniques for combinatorial optimization with applications. IEEE Transactions on Neural Networks 9(6): 1301-1318 (1998)
[c1]David Abramson, Kate A. Smith, Paul Logothetis, David J. Duke: FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems. EUROMICRO 1998: 20688-20693- 1997
[j2]Kate A. Smith, Marimuthu Palaniswami: Static and Dynamic Channel Assignment Using Neural Networks. IEEE Journal on Selected Areas in Communications 15(2): 238-249 (1997)- 1996
[j1]Kate A. Smith, Marimuthu Palaniswami, M. Krishnamoorthy: A hybrid neural approach to combinatorial optimization. Computers & OR 23(6): 597-610 (1996)
Coauthor Index
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last updated on 2013-04-17 21:41 CEST by the dblp team



