A hybrid neural approach to combinatorial optimization. - Kate A. Smith; Marimuthu Palaniswami; Mohan Krishnamoorthy (Comput. Oper. Res., 1996)

An argument for abandoning the travelling salesman problem as a neural-network benchmark. - Kate A. Smith (IEEE Trans. Neural Networks, 1996)

Static and Dynamic Channel Assignment Using Neural Networks. - Kate A. Smith; Marimuthu Palaniswami (IEEE J. Sel. Areas Commun., 1997)

FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems. - David Abramson 001; Kate A. Smith; Paul Logothetis; David J. Duke (EUROMICRO, 1998)

Neural techniques for combinatorial optimization with applications. - Kate A. Smith; Marimuthu Palaniswami; Mohan Krishnamoorthy (IEEE Trans. Neural Networks, 1998)

On chaotic simulated annealing. - Lipo Wang; Kate A. Smith (IEEE Trans. Neural Networks, 1998)

Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research. - Kate A. Smith (INFORMS J. Comput., 1999)

A unified framework for chaotic neural-network approaches to combinatorial optimization. - Terence Kwok; Kate A. Smith (IEEE Trans. Neural Networks, 1999)

Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. - Larisa Lokmic; Kate A. Smith (IJCNN (6), 2000)

Neural networks in business: techniques and applications for the operations researcher. - Kate A. Smith; Jatinder N. D. Gupta (Comput. Oper. Res., 2000)

An analysis of customer retention and insurance claim patterns using data mining: a case study. - Kate A. Smith; Robert J. Willis; Malcolm Brooks (J. Oper. Res. Soc., 2000)

Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework. - Terence Kwok; Kate A. Smith (Neural Networks, 2000)

A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem. - José M. García 002; Kate A. Smith; Sebastián Lozano 001; Fernando Guerrero (HIS, 2001)

Determining the Validity of Clustering for Data Fusion. - Kate A. Smith; Sheldon Chuan; Peter van der Putten (HIS, 2001)

Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map. - Kate A. Smith; Frederick Woo; Victor Ciesielski; Remzi Ibrahim (HIS, 2001)

Genetic Line Search. - Sebastián Lozano 001; Juan José Domínguez-Jiménez; Fernando Guerrero; Kate A. Smith (International Conference on Computational Science (2), 2001)

Modelling the Effect of Premium Changes on Motor Insurance Customer Retention Rates Using Neural Networks. - Ai Cheo Yeo; Kate A. Smith; Robert J. Willis; Malcolm Brooks (International Conference on Computational Science (2), 2001)

Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation. - Terence Kwok; Kate A. Smith (IWANN (1), 2001)

Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function. - Kate A. Smith; Jatinder N. D. Gupta (IWANN (1), 2001)

Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry. - Ai Cheo Yeo; Kate A. Smith; Robert J. Willis; Malcolm Brooks (Intell. Syst. Account. Finance Manag., 2001)

Parallel Fuzzy c-Means Clustering for Large Data Sets. - Terence Kwok; Kate A. Smith; Sebastián Lozano 001; David Taniar (Euro-Par, 2002)

A Comparison of Supervised and Unsupervised Learning Approaches to ISO-Resource Grouping for Acute Healthcare in Australia. - Eu-Gene Siew; Kate A. Smith; Leonid Churilov; Jeff Wassertheil (FSKD, 2002)

Soft Computing Paradigms for Web Access Pattern Analysis. - Xiaozhe Wang; Ajith Abraham; Kate A. Smith (FSKD, 2002)

A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia. - Eu-Gene Siew; Kate A. Smith; Leonid Churilov; Mohamed Ibrahim (HICSS, 2002)

Web Traffic Mining Using a Concurrent Neuro-Fuzzy Approach. - Xiaozhe Wang; Ajith Abraham; Kate A. Smith (HIS, 2002)

Clustering Web User Interests Using Self Organising Maps. - Xiaozhe Wang; Kate A. Smith (HIS, 2002)

Parametric Optimization in Data Mining Incorporated with GA-Based Search. - Ling Tan; David Taniar; Kate A. Smith (International Conference on Computational Science (1), 2002)

A Taxonomy for Inter-Model Parallelism in High Performance Data Mining. - Ling Tan; David Taniar; Kate A. Smith (ICEIS, 2002)

A Data Mining Architecture for Distributed Environments. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (IICS, 2002)

A New Parallel Genetic Algorithm. - Ling Tan; David Taniar; Kate A. Smith (ISPAN, 2002)

A Data Mining Architecture for Clustered Environments. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (PARA, 2002)

A mathematical programming approach to optimise insurance premium pricing within a data mining framework. - Ai Cheo Yeo; Kate A. Smith; Robert J. Willis; Malcolm Brooks (J. Oper. Res. Soc., 2002)

Artificial Neural Networks for Combinatorial Optimization. - Jean-Yves Potvin; Kate A. Smith (Handbook of Metaheuristics, 2003)

Developing a Personal Multilingual Web Space. - Rowena Chau; Chung-Hsing Yeh; Kate A. Smith (Applied Informatics, 2003)

Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering. - Shawkat Ali 001; Kate A. Smith (HIS, 2003)

An XML Schema Definition for an Operations Research Modeling Language. - Marcos Calle; Sebastián Lozano 001; Kate A. Smith; Gabriel Villa (HIS, 2003)

A Self-Organising Neural Network with Intermittent Switching for Combinatorial Optimisation. - Terence Kwok; Kate A. Smith (HIS, 2003)

Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. - Daniel Schwartz; Kate A. Smith; Leonid Churilov; Michael Dally; Richard Weber 002 (HIS, 2003)

Predicting Bad Credit Risk: An Evolutionary Approach. - Susan E. Bedingfield; Kate A. Smith (ICANN, 2003)

A Compress-Based Association Mining Algorithm for Large Dataset. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (International Conference on Computational Science, 2003)

Evolutionary Rule Generation Classification and Its Application to Multi-class Data. - Susan E. Bedingfield; Kate A. Smith (International Conference on Computational Science, 2003)

A DTD for an XML-Based Mathematical Modeling Language. - Marcos Calle; Sebastián Lozano 001; Kate A. Smith; Terence Kwok; Juan José Domínguez-Jiménez (International Conference on Computational Science, 2003)

FOM: A Framework for Metaheuristic Optimization. - José Antonio Parejo; Jesús Racero; Fernando Guerrero; Terence Kwok; Kate A. Smith (International Conference on Computational Science, 2003)

Improved Web Searching through Neural Network Based Index Generation. - Xiaozhe Wang; Damminda Alahakoon; Kate A. Smith (International Conference on Computational Science, 2003)

Automatic parameter selection for polynomial kernel. - Shawkat Ali 001; Kate A. Smith (IRI, 2003)

Performance-Enhancing Bifurcations in a Self-Organising Neural Network. - Terence Kwok; Kate A. Smith (IWANN (1), 2003)

Towards Privacy Preserving Distributed Association Rule Mining. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (IWDC, 2003)

Web page clustering using a self-organizing map of user navigation patterns. - Kate A. Smith; Alan Ng (Decis. Support Syst., 2003)

Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (DASFAA, 2004)

A New Approach of Eliminating Redundant Association Rules. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (DEXA, 2004)

Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. - Leonid Churilov; Adil M. Bagirov; Daniel Schwartz; Kate A. Smith; Michael Dally (HICSS, 2004)

HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering. - Rasika Amarasiri; L. Damminda Alahakoon; Kate A. Smith (HIS, 2004)

Personalized Multilingual Web Content Mining. - Rowena Chau; Chung-Hsing Yeh; Kate A. Smith (KES, 2004)

ODAM: An Optimized Distributed Association Rule Mining Algorithm. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (IEEE Distributed Syst. Online, 2004)

A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization. - Terence Kwok; Kate A. Smith (IEEE Trans. Neural Networks, 2004)

Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model. - Leelani Kumari Wickramasinghe; L. Damminda Alahakoon; Kate A. Smith (IAT, 2005)

Dimension Reduction for Clustering Time Series Using Global Characteristics. - Xiaozhe Wang; Kate A. Smith; Rob J. Hyndman (International Conference on Computational Science (3), 2005)

A Personalized Multilingual Web Content Miner: PMWeb Miner. - Rowena Chau; Chung-Hsing Yeh; Kate A. Smith (ICCSA (2), 2005)

A Neural Network Model for Hierarchical Multilingual Text Categorization. - Rowena Chau; Chung-Hsing Yeh; Kate A. Smith (ISNN (2), 2005)

An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (PAKDD, 2005)

HDGSOMr: A High Dimensional Growing Self-Organizing Map Using Randomness for Efficient Web and Text Mining. - Rasika Amarasiri; Damminda Alahakoon; Kate A. Smith; Malin Premaratne (Web Intelligence, 2005)

Applications of neural networks. - Kate A. Smith (Comput. Oper. Res., 2005)

A clustering algorithm based on an estimated distribution model. - Ling Tan; David Taniar; Kate A. Smith (Int. J. Bus. Intell. Data Min., 2005)

PPDAM: Privacy-Preserving Distributed Association-Rule-Mining Algorithm. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (Int. J. Intell. Inf. Technol., 2005)

Kernal Width Selection for SVM Classification: A Meta-Learning Approach. - Shawkat Ali 001; Kate A. Smith (Int. J. Data Warehous. Min., 2005)

Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. - Leonid Churilov; Adil M. Bagirov; Daniel Schwartz; Kate A. Smith; Michael Dally (J. Manag. Inf. Syst., 2005)

Intelligent web traffic mining and analysis. - Xiaozhe Wang; Ajith Abraham; Kate A. Smith (J. Netw. Comput. Appl., 2005)

Optimization via Intermittency with a Self-Organizing Neural Network. - Terence Kwok; Kate A. Smith (Neural Comput., 2005)

A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia. - Eu-Gene Siew; Kate A. Smith; Leonid Churilov; Jeff Wassertheil (Classification and Clustering for Knowledge Discovery, 2005)

Soft Computing Paradigms for Web Access Pattern Analysis. - Xiaozhe Wang; Ajith Abraham; Kate A. Smith (Classification and Clustering for Knowledge Discovery, 2005)

Improved Support Vector Machine Generalization Using Normalized Input Space. - Shawkat Ali 001; Kate Amanda Smith-Miles (Australian Conference on Artificial Intelligence, 2006)

Fuzzy-neuro Web-Based Multilingual Knowledge Management. - Rowena Chau; Chung-Hsing Yeh; Kate Smith-Miles (FSKD, 2006)

Communal Detection of Implicit Personal Identity Streams. - Clifton Phua; Ross W. Gayler; Kate Smith-Miles; Vincent C. S. Lee (ICDM Workshops, 2006)

Clustering Massive High Dimensional Data with Dynamic Feature Maps. - Rasika Amarasiri; Damminda Alahakoon; Kate Smith-Miles (ICONIP (2), 2006)

Ontology Learning from Text: A Soft Computing Paradigm. - Rowena Chau; Kate Amanda Smith-Miles; Chung-Hsing Yeh (ICONIP (3), 2006)

Temporal Representation in Spike Detection of Sparse Personal Identity Streams. - Clifton Phua; Vincent C. S. Lee; Ross W. Gayler; Kate A. Smith (WISI, 2006)

On learning algorithm selection for classification. - Shawkat Ali 001; Kate A. Smith (Appl. Soft Comput., 2006)

Characteristic-Based Clustering for Time Series Data. - Xiaozhe Wang; Kate A. Smith; Rob J. Hyndman (Data Min. Knowl. Discov., 2006)

Maximum-entropy estimated distribution model for classification problems. - Ling Tan; David Taniar; Kate A. Smith (Int. J. Hybrid Intell. Syst., 2006)

A meta-learning approach to automatic kernel selection for support vector machines. - Shawkat Ali 001; Kate Amanda Smith-Miles (Neurocomputing, 2006)

Meta-Learning: From Classification to Forecasting, to Optimization, and Beyond. - Kate Smith-Miles (ACIS-ICIS, 2007)

Adaptive Spike Detection for Resilient Data Stream Mining. - Clifton Phua; Kate Smith-Miles; Vincent C. S. Lee; Ross W. Gayler (AusDM, 2007)

Redundant association rules reduction techniques. - Mafruz Zaman Ashrafi; David Taniar; Kate A. Smith (Int. J. Bus. Intell. Data Min., 2007)

Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications. - Ajith Abraham; Kate A. Smith; Ravi Jain; Lakhmi C. Jain (J. Netw. Comput. Appl., 2007)

On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations. - Shawkat Ali 001; Kate Smith-Miles (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Automatic Age Estimation Based on Facial Aging Patterns. - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

A novel Episodic Associative Memory model for enhanced classification accuracy. - Leelani Kumari Wickramasinghe; L. Damminda Alahakoon; Kate Smith-Miles (Pattern Recognit. Lett., 2007)

Towards insightful algorithm selection for optimisation using meta-learning concepts. - Kate Amanda Smith-Miles (IJCNN, 2008)

Facial age estimation by nonlinear aging pattern subspace. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou (ACM Multimedia, 2008)

Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability. - Eu-Gene Siew; Leonid Churilov; Kate Smith-Miles; Joachim P. Sturmberg (PAKDD, 2008)

Adaptive Fusion of Gait and Face for Human Identification in Video. - Xin Geng 001; Liang Wang 001; Ming Li 010; Qiang Wu 001; Kate Smith-Miles (WACV, 2008)

Cross-disciplinary perspectives on meta-learning for algorithm selection. - Kate Smith-Miles (ACM Comput. Surv., 2008)

Correction to "Automatic Age Estimation Based on Facial Aging Patterns". - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Neural Networks, 2008)

What Data Mining Can Discover From Your Face... No More Lying About Your Age! - Kate Smith-Miles (AusDM, 2009)

Facial age estimation by multilinear subspace analysis. - Xin Geng 001; Kate Smith-Miles (ICASSP, 2009)

A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance. - Kate Smith-Miles; Ross J. W. James; John W. Giffin; Yiqing Tu (LION, 2009)

On the communal analysis suspicion scoring for identity crime in streaming credit applications. - Clifton Phua; Ross W. Gayler; Vincent C. S. Lee; Kate Smith-Miles (Eur. J. Oper. Res., 2009)

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. - Xiaozhe Wang; Kate Amanda Smith-Miles; Rob J. Hyndman (Neurocomputing, 2009)

Incremental Learning. - Xin Geng 001; Kate Smith-Miles (Encyclopedia of Biometrics, 2009)

The Personal Name Problem and a Data Mining Solution. - Clifton Phua; Vincent C. S. Lee; Kate Smith-Miles (Encyclopedia of Data Warehousing and Mining, 2009)

Facial Age Estimation by Learning from Label Distributions. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou (AAAI, 2010)

Meta-learning for data summarization based on instance selection method. - Kate Smith-Miles; Md. Rafiqul Islam 001 (IEEE Congress on Evolutionary Computation, 2010)

Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. - Laura Villanova; Paolo Falcaro; Davide Carta; Irene Poli; Rob J. Hyndman; Kate Smith-Miles (IEEE Congress on Evolutionary Computation, 2010)

Pitfalls in Instance Generation for Udine Timetabling. - Leo Lopes; Kate Smith-Miles (LION, 2010)

Understanding TSP Difficulty by Learning from Evolved Instances. - Kate Smith-Miles; Jano I. van Hemert; Xin Yu Lim (LION, 2010)

A Comprehensive Survey of Data Mining-based Fraud Detection Research - Clifton Phua; Vincent C. S. Lee; Kate Smith-Miles; Ross W. Gayler (CoRR, 2010)

Context-aware fusion: A case study on fusion of gait and face for human identification in video. - Xin Geng 001; Kate Smith-Miles; Liang Wang 001; Ming Li 010; Qiang Wu 001 (Pattern Recognit., 2010)

Projection defocus correction using adaptive kernel sampling and geometric correction in dual-planar environments. - Shamsuddin N. Ladha; Kate Smith-Miles; Sharat Chandran (CVPR Workshops, 2011)

Generalising Algorithm Performance in Instance Space: A Timetabling Case Study. - Kate Smith-Miles; Leo Lopes (LION, 2011)

Discovering the suitability of optimisation algorithms by learning from evolved instances. - Kate Smith-Miles; Jano I. van Hemert (Ann. Math. Artif. Intell., 2011)

Future trends in business analytics and optimization. - Donald E. Brown; Fazel Famili; Gerhard Paass; Kate Smith-Miles; Lyn C. Thomas; Richard Weber 002; Ricardo Baeza-Yates; Cristián Bravo; Gaston L'Huillier; Sebastián Maldonado (Intell. Data Anal., 2011)

Face Image Modeling by Multilinear Subspace Analysis With Missing Values. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou; Liang Wang 001 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Exploratory Data Analysis. - Kate Smith-Miles (International Encyclopedia of Statistical Science, 2011)

Meta-Learning of Instance Selection for Data Summarization. - Kate Amanda Smith-Miles; Md. Rafiqul Islam 001 (Meta-Learning in Computational Intelligence, 2011)

A two-variable model for stochastic modelling of chemical events with multi-step reactions. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BIBM, 2012)

Towards objective data selection in bankruptcy prediction. - Sverre Gunnersen; Kate Smith-Miles; Vincent C. S. Lee (IEEE Congress on Evolutionary Computation, 2012)

Measuring algorithm footprints in instance space. - Kate Smith-Miles; Thomas T. Tan (IEEE Congress on Evolutionary Computation, 2012)

Measuring instance difficulty for combinatorial optimization problems. - Kate Smith-Miles; Leo Lopes (Comput. Oper. Res., 2012)

Resilient Identity Crime Detection. - Clifton Phua; Kate Smith-Miles; Vincent C. S. Lee; Ross W. Gayler (IEEE Trans. Knowl. Data Eng., 2012)

Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BIBM, 2013)

How to extract meaningful shapes from noisy time-series subsequences? - Yanfei Kang; Kate Smith-Miles; Danijel Belusic (CIDM, 2013)

On the optimization of Gegenbauer operational matrix of integration. - Kareem T. Elgindy; Kate Smith-Miles (Adv. Comput. Math., 2013)

Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. - Qianqian Wu; Kate Smith-Miles; Tianshou Zhou; Tianhai Tian (BMC Syst. Biol., 2013)

Generating Applicable Synthetic Instances for Branch Problems. - Leo Lopes; Kate Smith-Miles (Oper. Res., 2013)

Optimal Gegenbauer quadrature over arbitrary integration nodes. - Kareem T. Elgindy; Kate Amanda Smith-Miles (J. Comput. Appl. Math., 2013)

Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method. - Kareem T. Elgindy; Kate Amanda Smith-Miles (J. Comput. Appl. Math., 2013)

Solving boundary value problems, integral, and integro-differential equations using Gegenbauer integration matrices. - Kareem T. Elgindy; Kate Smith-Miles (J. Comput. Appl. Math., 2013)

Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining. - Kate Smith-Miles; Brendan Wreford; Leo Lopes; Nur Insani (Hybrid Metaheuristics, 2013)

Efficient Identification of the Pareto Optimal Set. - Ingrida Steponavice; Rob J. Hyndman; Kate Smith-Miles; Laura Villanova (LION, 2014)

Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BMC Bioinform., 2014)

Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. - Tianhai Tian; Kate Smith-Miles (BMC Syst. Biol., 2014)

Towards objective measures of algorithm performance across instance space. - Kate Smith-Miles; Davaatseren Baatar; Brendan Wreford; Rhyd Lewis (Comput. Oper. Res., 2014)

Exploring the role of graph spectra in graph coloring algorithm performance. - Kate Smith-Miles; Davaatseren Baatar (Discret. Appl. Math., 2014)

Effects of function translation and dimensionality reduction on landscape analysis. - Mario A. Muñoz; Kate Smith-Miles (CEC, 2015)

Resolution of deadlocks in a robotic cell scheduling problem with post-process inspection system: Avoidance and recovery scenarios. - Mehdi Foumani; Indra Gunawan; Kate Smith-Miles (IEEM, 2015)

Generating new test instances by evolving in instance space. - Kate Smith-Miles; Simon Bowly (Comput. Oper. Res., 2015)

Notes on Feasibility and Optimality Conditions of Small-Scale Multifunction Robotic Cell Scheduling Problems With Pickup Restrictions. - Mehdi Foumani; Indra Gunawan; Kate Smith-Miles; M. Yousef Ibrahim 001 (IEEE Trans. Ind. Informatics, 2015)

Incremental Learning. - Xin Geng 001; Kate Smith-Miles (Encyclopedia of Biometrics, 2015)

On Sampling Methods for Costly Multi-Objective Black-Box Optimization. - Ingrida Steponavice; Mojdeh Shirazi-Manesh; Rob J. Hyndman; Kate Smith-Miles; Laura Villanova (Advances in Stochastic and Deterministic Global Optimization, 2016)

Realistic Projection on Casual Dual-Planar Surfaces with Global Illumination Compensation. - Shamsuddin N. Ladha; Kate Smith-Miles; Sharat Chandran (Int. J. Image Graph., 2016)

Non-parametric model of the space of continuous black-box optimization problems. - Mario A. Muñoz; Kate Smith-Miles (GECCO (Companion), 2017)

Generating custom classification datasets by targeting the instance space. - Mario A. Muñoz; Kate Smith-Miles (GECCO (Companion), 2017)

The School Bus Routing Problem: An Analysis and Algorithm. - Rhydian Lewis; Kate Smith-Miles; Kyle Phillips (IWOCA, 2017)

A framework for stochastic scheduling of two-machine robotic rework cells with in-process inspection system. - Mehdi Foumani; Kate Smith-Miles; Indra Gunawan; Asghar Moeini (Comput. Ind. Eng., 2017)

Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space. - Mario A. Muñoz; Kate Amanda Smith-Miles (Evol. Comput., 2017)

Dynamic algorithm selection for pareto optimal set approximation. - Ingrida Steponavice; Rob J. Hyndman; Kate Smith-Miles; Laura Villanova (J. Glob. Optim., 2017)

Scheduling of two-machine robotic rework cells: In-process, post-process and in-line inspection scenarios. - Mehdi Foumani; Kate Smith-Miles; Indra Gunawan (Robotics Auton. Syst., 2017)

Increasing Throughput for a Class of Two-Machine Robotic Cells Served by a Multifunction Robot. - Mehdi Foumani; Indra Gunawan; Kate Smith-Miles (IEEE Trans Autom. Sci. Eng., 2017)

Integrating Game Theory and Data Mining for Dynamic Distribution of Police to Combat Crime. - Carolina Segovia; Kate Smith-Miles (WI, 2018)

A cross-entropy method for optimising robotic automated storage and retrieval systems. - Mehdi Foumani; Asghar Moeini; Michael Haythorpe; Kate Smith-Miles (Int. J. Prod. Res., 2018)

A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems. - Rhyd Lewis; Kate Smith-Miles (J. Discrete Algorithms, 2018)

Instance spaces for machine learning classification. - Mario A. Muñoz; Laura Villanova; Davaatseren Baatar; Kate Smith-Miles (Mach. Learn., 2018)

Mapping the Effectiveness of Automated Test Suite Generation Techniques. - Carlos Oliveira 005; Aldeida Aleti; Lars Grunske; Kate Smith-Miles (IEEE Trans. Reliab., 2018)

Evolving stellar models to find the origins of our galaxy. - Conrad Chan; Aldeida Aleti; Alexander Heger; Kate Smith-Miles (GECCO, 2019)

Instance Space Analysis for Unsupervised Outlier Detection. - Sevvandi Kandanaarachchi; Mario A. Muñoz; Kate Smith-Miles (EDML@SDM, 2019)

Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. - Kate Smith-Miles (EDML@SDM, 2019)

Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. - Estefania Yap; Mario A. Muñoz; Kate Smith-Miles; Arnaud Liefooghe (CEC, 2020)

Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management. - Babak Abbasi; Toktam Babaei; Seyedeh Zahra Hosseinifard; Kate Smith-Miles; Maryam Dehghani (Comput. Oper. Res., 2020)

On normalization and algorithm selection for unsupervised outlier detection. - Sevvandi Kandanaarachchi; Mario A. Muñoz; Rob J. Hyndman; Kate Smith-Miles (Data Min. Knowl. Discov., 2020)

Generating New Space-Filling Test Instances for Continuous Black-Box Optimization. - Mario A. Muñoz; Kate Smith-Miles (Evol. Comput., 2020)

A transformation technique for the clustered generalized traveling salesman problem with applications to logistics. - Pouya Baniasadi; Mehdi Foumani; Kate Smith-Miles; Vladimir Ejov (Eur. J. Oper. Res., 2020)

Generation techniques for linear programming instances with controllable properties. - Simon Bowly; Kate Smith-Miles; Davaatseren Baatar; Hans D. Mittelmann (Math. Program. Comput., 2020)

Stochastic optimization of two-machine flow shop robotic cells with controllable inspection times: From theory toward practice. - Mehdi Foumani; Ayaz Razeghi; Kate Smith-Miles (Robotics Comput. Integr. Manuf., 2020)

Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. - Luiz Henrique dos Santos Fernandes; Ana Carolina Lorena; Kate Smith-Miles (Algorithms, 2021)

Instance space analysis for a personnel scheduling problem. - Lucas Kletzander; Nysret Musliu; Kate Smith-Miles (Ann. Math. Artif. Intell., 2021)

On the diversity and robustness of parameterised multi-objective test suites. - Estefania Yap; Mario Andrés Muñoz; Kate Smith-Miles (Appl. Soft Comput., 2021)

Revisiting where are the hard knapsack problems? via Instance Space Analysis. - Kate Smith-Miles; Jeffrey Christiansen; Mario Andrés Muñoz (Comput. Oper. Res., 2021)

PyHard: a novel tool for generating hardness embeddings to support data-centric analysis. - Pedro Yuri Arbs Paiva; Kate Smith-Miles; Maria Gabriela Valeriano; Ana Carolina Lorena (CoRR, 2021)

Anomaly Detection in High-Dimensional Data. - Priyanga Dilini Talagala; Rob J. Hyndman; Kate Smith-Miles (J. Comput. Graph. Stat., 2021)

Symmetry breaking of identical projects in the high-multiplicity RCPSP/max. - Steven J. Edwards; Davaatseren Baatar; Kate Smith-Miles; Andreas T. Ernst (J. Oper. Res. Soc., 2021)

An Instance Space Analysis of Regression Problems. - Mario Andrés Muñoz; Tao Yan; Matheus R. Leal; Kate Smith-Miles; Ana Carolina Lorena; Gisele L. Pappa; Rômulo Madureira Rodrigues (ACM Trans. Knowl. Discov. Data, 2021)

andremun/InstanceSpace: February 2021 Update. - Mario Andrés Muñoz; Kate Smith-Miles (Zenodo, 2021)

Generating Diverse Clustering Datasets with Targeted Characteristics. - Luiz Henrique dos Santos Fernandes; Kate Smith-Miles; Ana Carolina Lorena (BRACIS (1), 2022)

Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances. - Nicolau Andrés-Thió; Mario Andrés Muñoz; Kate Smith-Miles (INFORMS J. Comput., 2022)

Relating instance hardness to classification performance in a dataset: a visual approach. - Pedro Yuri Arbs Paiva; Camila Castro Moreno; Kate Smith-Miles; Maria Gabriela Valeriano; Ana Carolina Lorena (Mach. Learn., 2022)

Analyzing randomness effects on the reliability of exploratory landscape analysis. - Mario Andrés Muñoz; Michael Kirley; Kate Smith-Miles (Nat. Comput., 2022)

Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. - Kate Smith-Miles; Xin Geng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Algorithm selection and instance space analysis for curriculum-based course timetabling. - Arnaud De Coster; Nysret Musliu; Andrea Schaerf; Johannes Schoisswohl; Kate Smith-Miles (J. Sched., 2022)

Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis. - Estefania Yap; Mario Andrés Muñoz; Kate Smith-Miles (IEEE Trans. Evol. Comput., 2022)

Generating Dynamic Kernels via Transformers for Lane Detection. - Ziye Chen; Yu Liu 005; Mingming Gong; Bo Du 001; Guoqi Qian; Kate Smith-Miles (ICCV, 2023)

An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. - Ziye Chen; Kate Smith-Miles; Bo Du 001; Guoqi Qian; Mingming Gong (CoRR, 2023)

Enhanced instance space analysis for the maximum flow problem. - Hossein Alipour; Mario Andrés Muñoz; Kate Smith-Miles (Eur. J. Oper. Res., 2023)

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. - Sevvandi Kandanaarachchi; Kate Smith-Miles (J. Mach. Learn. Res., 2023)

Instance Space Analysis of Search-Based Software Testing. - Neelofar; Kate Smith-Miles; Mario Andrés Muñoz; Aldeida Aleti (IEEE Trans. Software Eng., 2023)

Instance Space Analysis for Algorithm Testing: Methodology and Software Tools. - Kate Smith-Miles; Mario Andrés Muñoz (ACM Comput. Surv., 2023)

Extending Instance Space Analysis to Algorithm Configuration Spaces. - Anthony Rasulo; Kate Smith-Miles; Mario A. Muñoz; Julia Handl; Manuel López-Ibáñez 001 (GECCO Companion, 2024)

Instance Space Analysis and Item Response Theory for Algorithm Testing. - Kate Smith-Miles; Mario Andrés Muñoz; Sevvandi Kandanaarachchi (GECCO Companion, 2024)

Characterising harmful data sources when constructing multi-fidelity surrogate models. - Nicolau Andrés-Thió; Mario Andrés Muñoz; Kate Smith-Miles (Artif. Intell., 2024)

Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. - João Luiz Junho Pereira; Kate Smith-Miles; Mario Andrés Muñoz; Ana Carolina Lorena (Data Min. Knowl. Discov., 2024)

Instance space analysis for 2D bin packing mathematical models. - Chang Liu 124; Kate Smith-Miles; Tony Wauters; Alysson M. Costa (Eur. J. Oper. Res., 2024)

On the impact of initialisation strategies on Maximum Flow algorithm performance. - Hossein Alipour; Mario Andrés Muñoz; Kate Smith-Miles (Comput. Oper. Res., 2024)

A block-building constraint programming model for the container loading problem. - Chang Liu 124; Kate Smith-Miles; Tony Wauters; Alysson M. Costa (Comput. Oper. Res., 2025)

On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis. - Vivek Katial; Kate Smith-Miles; Charles D. Hill; Lloyd C. L. Hollenberg (INFORMS J. Comput., 2025)