Kate SmithMiles
According to our database^{1},
Kate SmithMiles
authored at least 148 papers
between 1996 and 2018.
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Bibliography
2018
Mapping the Effectiveness of Automated Test Suite Generation Techniques.
IEEE Trans. Reliability, 2018
Instance spaces for machine learning classification.
Machine Learning, 2018
A heuristic algorithm for finding costeffective solutions to realworld school bus routing problems.
J. Discrete Algorithms, 2018
Integrating Game Theory and Data Mining for Dynamic Distribution of Police to Combat Crime.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
2017
Increasing Throughput for a Class of TwoMachine Robotic Cells Served by a Multifunction Robot.
IEEE Trans. Automation Science and Engineering, 2017
Scheduling of twomachine robotic rework cells: Inprocess, postprocess and inline inspection scenarios.
Robotics and Autonomous Systems, 2017
Dynamic algorithm selection for pareto optimal set approximation.
J. Global Optimization, 2017
Performance Analysis of Continuous BlackBox Optimization Algorithms via Footprints in Instance Space.
Evolutionary Computation, 2017
A framework for stochastic scheduling of twomachine robotic rework cells with inprocess inspection system.
Computers & Industrial Engineering, 2017
The School Bus Routing Problem: An Analysis and Algorithm.
Proceedings of the Combinatorial Algorithms  28th International Workshop, 2017
Generating custom classification datasets by targeting the instance space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Nonparametric model of the space of continuous blackbox optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Realistic Projection on Casual DualPlanar Surfaces with Global Illumination Compensation.
Int. J. Image Graphics, 2016
On Sampling Methods for Costly MultiObjective BlackBox Optimization.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Incremental Learning.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015
Notes on Feasibility and Optimality Conditions of SmallScale Multifunction Robotic Cell Scheduling Problems With Pickup Restrictions.
IEEE Trans. Industrial Informatics, 2015
Generating new test instances by evolving in instance space.
Computers & OR, 2015
Resolution of deadlocks in a robotic cell scheduling problem with postprocess inspection system: Avoidance and recovery scenarios.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
Effects of function translation and dimensionality reduction on landscape analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Exploring the role of graph spectra in graph coloring algorithm performance.
Discrete Applied Mathematics, 2014
Towards objective measures of algorithm performance across instance space.
Computers & OR, 2014
Mathematical modeling of GATAswitching for regulating the differentiation of hematopoietic stem cell.
BMC Systems Biology, 2014
Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density.
BMC Bioinformatics, 2014
Efficient Identification of the Pareto Optimal Set.
Proceedings of the Learning and Intelligent Optimization, 2014
2013
Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining.
Proceedings of the Hybrid Metaheuristics, 2013
Solving boundary value problems, integral, and integrodifferential equations using Gegenbauer integration matrices.
J. Computational Applied Mathematics, 2013
Fast, accurate, and smallscale direct trajectory optimization using a Gegenbauer transcription method.
J. Computational Applied Mathematics, 2013
Optimal Gegenbauer quadrature over arbitrary integration nodes.
J. Computational Applied Mathematics, 2013
Generating Applicable Synthetic Instances for Branch Problems.
Operations Research, 2013
Stochastic modelling of biochemical systems of multistep reactions using a simplified twovariable model.
BMC Systems Biology, 2013
On the optimization of Gegenbauer operational matrix of integration.
Adv. Comput. Math., 2013
How to extract meaningful shapes from noisy timeseries subsequences?
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
Approximate Bayesian computation for estimating rate constants in biochemical reaction systems.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Resilient Identity Crime Detection.
IEEE Trans. Knowl. Data Eng., 2012
Measuring instance difficulty for combinatorial optimization problems.
Computers & OR, 2012
Measuring algorithm footprints in instance space.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Towards objective data selection in bankruptcy prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
A twovariable model for stochastic modelling of chemical events with multistep reactions.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
MetaLearning of Instance Selection for Data Summarization.
Proceedings of the MetaLearning in Computational Intelligence, 2011
Exploratory Data Analysis.
Proceedings of the International Encyclopedia of Statistical Science, 2011
Future trends in business analytics and optimization.
Intell. Data Anal., 2011
Discovering the suitability of optimisation algorithms by learning from evolved instances.
Ann. Math. Artif. Intell., 2011
Generalising Algorithm Performance in Instance Space: A Timetabling Case Study.
Proceedings of the Learning and Intelligent Optimization  5th International Conference, 2011
Projection defocus correction using adaptive kernel sampling and geometric correction in dualplanar environments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Contextaware fusion: A case study on fusion of gait and face for human identification in video.
Pattern Recognition, 2010
Understanding TSP Difficulty by Learning from Evolved Instances.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Pitfalls in Instance Generation for Udine Timetabling.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Metalearning for data summarization based on instance selection method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Facial Age Estimation by Learning from Label Distributions.
Proceedings of the TwentyFourth AAAI Conference on Artificial Intelligence, 2010
2009
The Personal Name Problem and a Data Mining Solution.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Incremental Learning.
Proceedings of the Encyclopedia of Biometrics, 2009
Rule induction for forecasting method selection: Metalearning the characteristics of univariate time series.
Neurocomputing, 2009
On the communal analysis suspicion scoring for identity crime in streaming credit applications.
European Journal of Operational Research, 2009
Face image modeling by multilinear subspace analysis with missing values.
Proceedings of the 17th International Conference on Multimedia 2009, 2009
A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Facial age estimation by multilinear subspace analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009
What Data Mining Can Discover From Your Face... No More Lying About Your Age!
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
2008
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions.
IEEE Trans. Neural Networks, 2008
Correction to "Automatic Age Estimation Based on Facial Aging Patterns".
IEEE Trans. Pattern Anal. Mach. Intell., 2008
Crossdisciplinary perspectives on metalearning for algorithm selection.
ACM Comput. Surv., 2008
Adaptive Fusion of Gait and Face for Human Identification in Video.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008
Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different DoctorPatient Stability.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Facial age estimation by nonlinear aging pattern subspace.
Proceedings of the 16th International Conference on Multimedia 2008, 2008
Towards insightful algorithm selection for optimisation using metalearning concepts.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
A novel Episodic Associative Memory model for enhanced classification accuracy.
Pattern Recognition Letters, 2007
Automatic Age Estimation Based on Facial Aging Patterns.
IEEE Trans. Pattern Anal. Mach. Intell., 2007
On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations.
KES Journal, 2007
Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications.
J. Network and Computer Applications, 2007
Adaptive Spike Detection for Resilient Data Stream Mining.
Proceedings of the Data Mining and Analytics 2007, 2007
MetaLearning: From Classification to Forecasting, to Optimization, and Beyond.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
2006
A metalearning approach to automatic kernel selection for support vector machines.
Neurocomputing, 2006
Maximumentropy estimated distribution model for classification problems.
Int. J. Hybrid Intell. Syst., 2006
CharacteristicBased Clustering for Time Series Data.
Data Min. Knowl. Discov., 2006
On learning algorithm selection for classification.
Appl. Soft Comput., 2006
Temporal Representation in Spike Detection of Sparse Personal Identity Streams.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006
Ontology Learning from Text: A Soft Computing Paradigm.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Clustering Massive High Dimensional Data with Dynamic Feature Maps.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Communal Detection of Implicit Personal Identity Streams.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Fuzzyneuro WebBased Multilingual Knowledge Management.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
Improved Support Vector Machine Generalization Using Normalized Input Space.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to IsoResource Grouping for Acute Healthcare in Australia.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005
Optimization via Intermittency with a SelfOrganizing Neural Network.
Neural Computation, 2005
Intelligent web traffic mining and analysis.
J. Network and Computer Applications, 2005
Data Mining with Combined Use of Optimization Techniques and SelfOrganizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients.
J. of Management Information Systems, 2005
Kernal Width Selection for SVM Classification: A MetaLearning Approach.
IJDWM, 2005
PPDAM: PrivacyPreserving Distributed AssociationRuleMining Algorithm.
IJIIT, 2005
A clustering algorithm based on an estimated distribution model.
IJBIDM, 2005
Applications of neural networks.
Computers & OR, 2005
HDGSOMr: A High Dimensional Growing SelfOrganizing Map Using Randomness for Efficient Web and Text Mining.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005
An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
A Neural Network Model for Hierarchical Multilingual Text Categorization.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A Personalized Multilingual Web Content Miner: PMWeb Miner.
Proceedings of the Computational Science and Its Applications, 2005
Dimension Reduction for Clustering Time Series Using Global Characteristics.
Proceedings of the Computational Science, 2005
Computation of MetaLearning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005
Redundant Association Rules Reduction Techniques.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
A noisy selforganizing neural network with bifurcation dynamics for combinatorial optimization.
IEEE Trans. Neural Networks, 2004
ODAM: An Optimized Distributed Association Rule Mining Algorithm.
IEEE Distributed Systems Online, 2004
Personalized Multilingual Web Content Mining.
Proceedings of the KnowledgeBased Intelligent Information and Engineering Systems, 2004
HDGSOM: A Modified Growing SelfOrganizing Map for High Dimensional Data Clustering.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization.
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS37 2004), 2004
A New Approach of Eliminating Redundant Association Rules.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining.
Proceedings of the Database Systems for Advances Applications, 2004
2003
Web page clustering using a selforganizing map of user navigation patterns.
Decision Support Systems, 2003
Towards Privacy Preserving Distributed Association Rule Mining.
Proceedings of the Distributed Computing, 2003
PerformanceEnhancing Bifurcations in a SelfOrganising Neural Network.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Automatic parameter selection for polynomial kernel.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003
Improved Web Searching through Neural Network Based Index Generation.
Proceedings of the Computational Science  ICCS 2003, 2003
FOM: A Framework for Metaheuristic Optimization.
Proceedings of the Computational Science  ICCS 2003, 2003
A DTD for an XMLBased Mathematical Modeling Language.
Proceedings of the Computational Science  ICCS 2003, 2003
Evolutionary Rule Generation Classification and Its Application to Multiclass Data.
Proceedings of the Computational Science  ICCS 2003, 2003
A CompressBased Association Mining Algorithm for Large Dataset.
Proceedings of the Computational Science  ICCS 2003, 2003
Predicting Bad Credit Risk: An Evolutionary Approach.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Improving Risk Grouping Rules for Prostate Cancer Patients Using SelfOrganizing Maps.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
A SelfOrganising Neural Network with Intermittent Switching for Combinatorial Optimisation.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
An XML Schema Definition for an Operations Research Modeling Language.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy Cmeans Clustering.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Developing a Personal Multilingual Web Space.
Proceedings of the 21st IASTED International MultiConference on Applied Informatics (AI 2003), 2003
2002
A Data Mining Architecture for Clustered Environments.
Proceedings of the Applied Parallel Computing Advanced Scientific Computing, 2002
A New Parallel Genetic Algorithm.
Proceedings of the International Symposium on Parallel Architectures, 2002
A Data Mining Architecture for Distributed Environments.
Proceedings of the Innovative Internet Computing Systems, Second International Workshop, 2002
A Taxonomy for InterModel Parallelism in High Performance Data Mining.
Proceedings of the ICEIS 2002, 2002
Parametric Optimization in Data Mining Incorporated with GABased Search.
Proceedings of the Computational Science  ICCS 2002, 2002
Clustering Web User Interests Using Self Organising Maps.
Proceedings of the Soft Computing Systems  Design, Management and Applications, 2002
Web Traffic Mining Using a Concurrent NeuroFuzzy Approach.
Proceedings of the Soft Computing Systems  Design, Management and Applications, 2002
A Neural Clustering Approach to IsoResource for Acute Healthcare in Australia.
Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS35 2002), 2002
Soft Computing Paradigms for Web Access Pattern Analysis.
Proceedings of the FSDK'02, 2002
A Comparison of Supervised and Unsupervised Learning Approaches to ISOResource Grouping for Acute Healthcare in Australia.
Proceedings of the FSDK'02, 2002
Parallel Fuzzy cMeans Clustering for Large Data Sets.
Proceedings of the EuroPar 2002, 2002
2001
Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry.
Int. Syst. in Accounting, Finance and Management, 2001
Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function.
Proceedings of the Connectionist Models of Neurons, 2001
Nonlinear System Dynamics in the Normalisation Process of a SelfOrganising Neural Network for Combinatorial Optimisation.
Proceedings of the Connectionist Models of Neurons, 2001
Modelling the Effect of Premium Changes on Motor Insurance Customer Retention Rates Using Neural Networks.
Proceedings of the Computational Science  ICCS 2001, 2001
Genetic Line Search.
Proceedings of the Computational Science  ICCS 2001, 2001
Matching Data Mining Algorithm Suitability to Data Characteristics Using a SelfOrganizing Map.
Proceedings of the Hybrid Information Systems, 2001
Determining the Validity of Clustering for Data Fusion.
Proceedings of the Hybrid Information Systems, 2001
A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem.
Proceedings of the Hybrid Information Systems, 2001
2000
Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework.
Neural Networks, 2000
Neural networks in business: techniques and applications for the operations researcher.
Computers & OR, 2000
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks.
IJCNN (6), 2000
1999
A unified framework for chaotic neuralnetwork approaches to combinatorial optimization.
IEEE Trans. Neural Networks, 1999
Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research.
INFORMS Journal on Computing, 1999
1998
On chaotic simulated annealing.
IEEE Trans. Neural Networks, 1998
Neural techniques for combinatorial optimization with applications.
IEEE Trans. Neural Networks, 1998
FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems.
Proceedings of the 24th EUROMICRO '98 Conference, 1998
1997
Static and Dynamic Channel Assignment Using Neural Networks.
IEEE Journal on Selected Areas in Communications, 1997
1996
An argument for abandoning the travelling salesman problem as a neuralnetwork benchmark.
IEEE Trans. Neural Networks, 1996
A hybrid neural approach to combinatorial optimization.
Computers & OR, 1996