# Kate Smith-Miles

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^{1}, Kate Smith-Miles## Timeline

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## Bibliography

2017

Increasing Throughput for a Class of Two-Machine Robotic Cells Served by a Multifunction Robot.

IEEE Trans. Automation Science and Engineering, 2017

Scheduling of two-machine robotic rework cells: In-process, post-process and in-line inspection scenarios.

Robotics and Autonomous Systems, 2017

Dynamic algorithm selection for pareto optimal set approximation.

J. Global Optimization, 2017

A framework for stochastic scheduling of two-machine robotic rework cells with in-process inspection system.

Computers & Industrial Engineering, 2017

Generating custom classification datasets by targeting the instance space.

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Non-parametric model of the space of continuous black-box optimization problems.

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Realistic Projection on Casual Dual-Planar Surfaces with Global Illumination Compensation.

Int. J. Image Graphics, 2016

On Sampling Methods for Costly Multi-Objective Black-Box 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 Small-Scale 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 post-process 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 GATA-switching 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 integro-differential equations using Gegenbauer integration matrices.

J. Computational Applied Mathematics, 2013

Fast, accurate, and small-scale 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 multi-step reactions using a simplified two-variable 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 time-series 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 two-variable model for stochastic modelling of chemical events with multi-step reactions.

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Meta-Learning of Instance Selection for Data Summarization.

Proceedings of the Meta-Learning in Computational Intelligence, 2011

Exploratory Data Analysis.

Proceedings of the International Encyclopedia of Statistical Science, 2011

Face Image Modeling by Multilinear Subspace Analysis With Missing Values.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 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 dual-planar environments.

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Context-aware fusion: A case study on fusion of gait and face for human identification in video.

Pattern Recognition, 2010

A Comprehensive Survey of Data Mining-based Fraud Detection Research

CoRR, 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

Meta-learning 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 Twenty-Fourth 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: Meta-learning 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

Cross-disciplinary perspectives on meta-learning 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 Doctor-Patient 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 meta-learning 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

Redundant association rules reduction techniques.

IJBIDM, 2007

Adaptive Spike Detection for Resilient Data Stream Mining.

Proceedings of the Data Mining and Analytics 2007, 2007

Meta-Learning: 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 meta-learning approach to automatic kernel selection for support vector machines.

Neurocomputing, 2006

Maximum-entropy estimated distribution model for classification problems.

Int. J. Hybrid Intell. Syst., 2006

Characteristic-Based 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

Fuzzy-neuro Web-Based 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

Soft Computing Paradigms for Web Access Pattern Analysis.

Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia.

Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

Optimization via Intermittency with a Self-Organizing 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 Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients.

J. of Management Information Systems, 2005

Kernal Width Selection for SVM Classification: A Meta-Learning Approach.

IJDWM, 2005

PPDAM: Privacy-Preserving Distributed Association-Rule-Mining 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 Self-Organizing 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 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, 2005

Redundant Association Rules Reduction Techniques.

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

A noisy self-organizing 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 Knowledge-Based Intelligent Information and Engineering Systems, 2004

HDGSOM: A Modified Growing Self-Organizing 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 (HICSS-37 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 self-organizing map of user navigation patterns.

Decision Support Systems, 2003

Towards Privacy Preserving Distributed Association Rule Mining.

Proceedings of the Distributed Computing, 2003

Performance-Enhancing Bifurcations in a Self-Organising 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 XML-Based Mathematical Modeling Language.

Proceedings of the Computational Science - ICCS 2003, 2003

Evolutionary Rule Generation Classification and Its Application to Multi-class Data.

Proceedings of the Computational Science - ICCS 2003, 2003

A Compress-Based 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 Self-Organizing Maps.

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

A Self-Organising 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 C-means Clustering.

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Developing a Personal Multilingual Web Space.

Proceedings of the 21st IASTED International Multi-Conference 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 Inter-Model Parallelism in High Performance Data Mining.

Proceedings of the ICEIS 2002, 2002

Parametric Optimization in Data Mining Incorporated with GA-Based 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 Neuro-Fuzzy Approach.

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia.

Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS-35 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 ISO-Resource Grouping for Acute Healthcare in Australia.

Proceedings of the FSDK'02, 2002

Parallel Fuzzy c-Means Clustering for Large Data Sets.

Proceedings of the Euro-Par 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 Self-Organising 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 Self-Organizing 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 neural-network 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 neural-network benchmark.

IEEE Trans. Neural Networks, 1996

A hybrid neural approach to combinatorial optimization.

Computers & OR, 1996