Kate Smith-Miles
Orcid: 0000-0003-2718-7680Affiliations:
- University of Melbourne, Australia
- Monash University, Melbourne, Australia (former)
According to our database1,
Kate Smith-Miles
authored at least 194 papers
between 1996 and 2025.
Collaborative distances:
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Bibliography
2025
On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis.
INFORMS J. Comput., 2025
Comput. Oper. Res., 2025
2024
Comput. Oper. Res., March, 2024
Eur. J. Oper. Res., 2024
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation.
Data Min. Knowl. Discov., 2024
Characterising harmful data sources when constructing multi-fidelity surrogate models.
Artif. Intell., 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
ACM Comput. Surv., December, 2023
IEEE Trans. Software Eng., April, 2023
J. Mach. Learn. Res., 2023
Eur. J. Oper. Res., 2023
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection.
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis.
IEEE Trans. Evol. Comput., 2022
Algorithm selection and instance space analysis for curriculum-based course timetabling.
J. Sched., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Nat. Comput., 2022
Relating instance hardness to classification performance in a dataset: a visual approach.
Mach. Learn., 2022
INFORMS J. Comput., 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
J. Oper. Res. Soc., 2021
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis.
CoRR, 2021
Comput. Oper. Res., 2021
Appl. Soft Comput., 2021
Ann. Math. Artif. Intell., 2021
Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis.
Algorithms, 2021
2020
Stochastic optimization of two-machine flow shop robotic cells with controllable inspection times: From theory toward practice.
Robotics Comput. Integr. Manuf., 2020
Math. Program. Comput., 2020
A transformation technique for the clustered generalized traveling salesman problem with applications to logistics.
Eur. J. Oper. Res., 2020
Evol. Comput., 2020
Data Min. Knowl. Discov., 2020
Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management.
Comput. Oper. Res., 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
IEEE Trans. Reliab., 2018
A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems.
J. Discrete Algorithms, 2018
A cross-entropy method for optimising robotic automated storage and retrieval systems.
Int. J. Prod. Res., 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 Two-Machine Robotic Cells Served by a Multifunction Robot.
IEEE Trans Autom. Sci. Eng., 2017
Scheduling of two-machine robotic rework cells: In-process, post-process and in-line inspection scenarios.
Robotics Auton. Syst., 2017
J. Glob. Optim., 2017
Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space.
Evol. Comput., 2017
A framework for stochastic scheduling of two-machine robotic rework cells with in-process inspection system.
Comput. Ind. Eng., 2017
Proceedings of the Combinatorial Algorithms - 28th International Workshop, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Realistic Projection on Casual Dual-Planar Surfaces with Global Illumination Compensation.
Int. J. Image Graph., 2016
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
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. Ind. Informatics, 2015
Comput. Oper. Res., 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
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Discret. Appl. Math., 2014
Comput. Oper. Res., 2014
Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell.
BMC Syst. Biol., 2014
Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density.
BMC Bioinform., 2014
Proceedings of the Learning and Intelligent Optimization, 2014
2013
Proceedings of the Hybrid Metaheuristics, 2013
Solving boundary value problems, integral, and integro-differential equations using Gegenbauer integration matrices.
J. Comput. Appl. Math., 2013
Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method.
J. Comput. Appl. Math., 2013
J. Comput. Appl. Math., 2013
Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model.
BMC Syst. Biol., 2013
Adv. Comput. Math., 2013
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
Comput. Oper. Res., 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
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
Proceedings of the Meta-Learning in Computational Intelligence, 2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Discovering the suitability of optimisation algorithms by learning from evolved instances.
Ann. Math. Artif. Intell., 2011
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 Recognit., 2010
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 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.
Eur. J. Oper. Res., 2009
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
Proceedings of the IEEE International Conference on Acoustics, 2009
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
IEEE Trans. Pattern Anal. Mach. Intell., 2008
ACM Comput. Surv., 2008
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
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
Pattern Recognit. Lett., 2007
IEEE Trans. Pattern Anal. Mach. Intell., 2007
On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations.
Int. J. Knowl. Based Intell. Eng. Syst., 2007
Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications.
J. Netw. Comput. Appl., 2007
Proceedings of the Data Mining and Analytics 2007, 2007
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
2006
Neurocomputing, 2006
Int. J. Hybrid Intell. Syst., 2006
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
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
Neural Comput., 2005
Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients.
J. Manag. Inf. Syst., 2005
Int. J. Data Warehous. Min., 2005
Int. J. Intell. Inf. Technol., 2005
Int. J. Bus. Intell. Data Min., 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
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Computational Science and Its Applications, 2005
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
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
IEEE Distributed Syst. Online, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004
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
Decis. Support Syst., 2003
Proceedings of the Distributed Computing, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
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
Proceedings of the Handbook of Metaheuristics, 2003
2002
A mathematical programming approach to optimise insurance premium pricing within a data mining framework.
J. Oper. Res. Soc., 2002
Proceedings of the Applied Parallel Computing Advanced Scientific Computing, 2002
Proceedings of the International Symposium on Parallel Architectures, 2002
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
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
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
Proceedings of the Euro-Par 2002, 2002
2001
Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry.
Intell. Syst. Account. Finance Manag., 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
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
An analysis of customer retention and insurance claim patterns using data mining: a case study.
J. Oper. Res. Soc., 2000
Neural networks in business: techniques and applications for the operations researcher.
Comput. Oper. Res., 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 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 J. Comput., 1999
1998
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
IEEE J. Sel. Areas Commun., 1997
1996
An argument for abandoning the travelling salesman problem as a neural-network benchmark.
IEEE Trans. Neural Networks, 1996