A block-building constraint programming model for the container loading problem.

Kate Smith-Miles Kate Amanda Smith-Miles Kate A. Smith University of Melbourne, Australia Monash University, Melbourne, Australia http://users.monash.edu.au/~ksmiles/ https://scholar.google.com/citations?user=6XkFa7kAAAAJ https://mathgenealogy.org/id.php?id=127674 https://mathgenealogy.org/id.php?id=81484 https://en.wikipedia.org/wiki/Kate_Smith-Miles https://orcid.org/0000-0003-2718-7680 https://www.wikidata.org/entity/Q41728864 https://www.researcherid.com/rid/B-7493-2008

Chang Liu 0124 Kate Smith-Miles Tony Wauters Alysson M. Costa A block-building constraint programming model for the container loading problem. 107111 2025 182 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2025.107111 db/journals/cor/cor182.html#LiuSWC25 streams/journals/cor

Vivek Katial Kate Smith-Miles Charles D. Hill Lloyd C. L. Hollenberg On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis. 146-171 2025 37 INFORMS J. Comput. 1 https://doi.org/10.1287/ijoc.2024.0564 db/journals/informs/informs37.html#KatialSHH25 streams/journals/informs

Nicolau Andrés-Thió Mario Andrés Muñoz Kate Smith-Miles Characterising harmful data sources when constructing multi-fidelity surrogate models. 104207 2024 336 Artif. Intell. https://doi.org/10.1016/j.artint.2024.104207 db/journals/ai/ai336.html#AndresThioMS24 streams/journals/ai

Hossein Alipour Mario Andrés Muñoz Kate Smith-Miles On the impact of initialisation strategies on Maximum Flow algorithm performance. 106492 2024 March 163 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2023.106492 db/journals/cor/cor163.html#AlipourMS24

João Luiz Junho Pereira Kate Smith-Miles Mario Andrés Muñoz Ana Carolina Lorena Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. 461-500 2024 38 Data Min. Knowl. Discov. 2 https://doi.org/10.1007/s10618-023-00957-1 db/journals/datamine/datamine38.html#PereiraSML24

Chang Liu 0124 Kate Smith-Miles Tony Wauters Alysson M. Costa Instance space analysis for 2D bin packing mathematical models. 484-498 2024 315 Eur. J. Oper. Res. 2 https://doi.org/10.1016/j.ejor.2023.12.008 db/journals/eor/eor315.html#LiuSWC24 streams/journals/eor

Anthony Rasulo Kate Smith-Miles Mario A. Muñoz Julia Handl Manuel López-Ibáñez 0001 Extending Instance Space Analysis to Algorithm Configuration Spaces. 2024 GECCO Companion https://doi.org/10.1145/3638530.3654264 https://www.wikidata.org/entity/Q130906216 conf/gecco/2024c db/conf/gecco/gecco2024c.html#RasuloSMH024 147-150 Kate Smith-Miles Mario Andrés Muñoz Sevvandi Kandanaarachchi Instance Space Analysis and Item Response Theory for Algorithm Testing. 2024 GECCO Companion https://doi.org/10.1145/3638530.3648419 https://www.wikidata.org/entity/Q130914470 conf/gecco/2024c db/conf/gecco/gecco2024c.html#Smith-MilesMK24 1369-1390

Nicolau Andrés-Thió Mario Andrés Muñoz Kate Smith-Miles Characterising harmful data sources when constructing multi-fidelity surrogate models. 2024 abs/2403.08118 CoRR https://doi.org/10.48550/arXiv.2403.08118 db/journals/corr/corr2403.html#abs-2403-08118

Kate Smith-Miles Mario Andrés Muñoz Instance Space Analysis for Algorithm Testing: Methodology and Software Tools. 255:1-255:31 2023 December 55 ACM Comput. Surv. 12 https://doi.org/10.1145/3572895 https://www.wikidata.org/entity/Q130877812 db/journals/csur/csur55.html#SmithMilesM23

Hossein Alipour Mario Andrés Muñoz Kate Smith-Miles Enhanced instance space analysis for the maximum flow problem. 411-428 2023 304 Eur. J. Oper. Res. 2 https://doi.org/10.1016/j.ejor.2022.04.012 https://www.wikidata.org/entity/Q114184278 db/journals/eor/eor304.html#AlipourMS23

Sevvandi Kandanaarachchi Kate Smith-Miles Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. 177:1-177:52 2023 24 J. Mach. Learn. Res. https://jmlr.org/papers/v24/20-1318.html db/journals/jmlr/jmlr24.html#KandanaarachchiS23

Neelofar Kate Smith-Miles Mario Andrés Muñoz Aldeida Aleti Instance Space Analysis of Search-Based Software Testing. 2642-2660 2023 April 49 IEEE Trans. Software Eng. 4 https://doi.org/10.1109/TSE.2022.3228334 db/journals/tse/tse49.html#NeelofarSMA23

Ziye Chen Yu Liu 0005 Mingming Gong Bo Du 0001 Guoqi Qian Kate Smith-Miles Generating Dynamic Kernels via Transformers for Lane Detection. 6812-6821 2023 ICCV https://doi.org/10.1109/ICCV51070.2023.00629 conf/iccv/2023 db/conf/iccv/iccv2023.html#ChenLG0QS23

Ziye Chen Kate Smith-Miles Bo Du 0001 Guoqi Qian Mingming Gong An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. 2023 abs/2306.04927 CoRR https://doi.org/10.48550/arXiv.2306.04927 db/journals/corr/corr2306.html#abs-2306-04927

Sevvandi Kandanaarachchi Kate Smith-Miles Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. 2023 abs/2307.15850 CoRR https://doi.org/10.48550/arXiv.2307.15850 db/journals/corr/corr2307.html#abs-2307-15850

Neelofar Kate Smith-Miles Mario Andrés Muñoz Aldeida Aleti Instance Space Analysis of Search-Based Software Testing. 2023 abs/2312.02392 CoRR https://doi.org/10.48550/arXiv.2312.02392 db/journals/corr/corr2312.html#abs-2312-02392

Nicolau Andrés-Thió Mario Andrés Muñoz Kate Smith-Miles Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances. 3007-3022 2022 34 INFORMS J. Comput. 6 https://doi.org/10.1287/ijoc.2022.1217 db/journals/informs/informs34.html#Andres-ThioMS22

Pedro Yuri Arbs Paiva Camila Castro Moreno Kate Smith-Miles Maria Gabriela Valeriano Ana Carolina Lorena Relating instance hardness to classification performance in a dataset: a visual approach. 3085-3123 2022 111 Mach. Learn. 8 https://doi.org/10.1007/s10994-022-06205-9 db/journals/ml/ml111.html#PaivaMSVL22

Mario Andrés Muñoz Michael Kirley Kate Smith-Miles Analyzing randomness effects on the reliability of exploratory landscape analysis. 131-154 2022 21 Nat. Comput. 2 https://doi.org/10.1007/s11047-021-09847-1 db/journals/nc/nc21.html#MunozKS22

Kate Smith-Miles Xin Geng 0001 Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. 2689-2697 2022 44 IEEE Trans. Pattern Anal. Mach. Intell. 5 https://doi.org/10.1109/TPAMI.2020.3038760 https://www.wikidata.org/entity/Q102133746 db/journals/pami/pami44.html#Smith-MilesG22

Arnaud De Coster Nysret Musliu Andrea Schaerf Johannes Schoisswohl Kate Smith-Miles Algorithm selection and instance space analysis for curriculum-based course timetabling. 35-58 2022 25 J. Sched. 1 https://doi.org/10.1007/s10951-021-00701-x db/journals/scheduling/scheduling25.html#CosterMSSS22

Estefania Yap Mario Andrés Muñoz Kate Smith-Miles Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis. 1246-1260 2022 26 IEEE Trans. Evol. Comput. 6 https://doi.org/10.1109/TEVC.2022.3205165 https://www.wikidata.org/entity/Q114084741 db/journals/tec/tec26.html#YapMS22

Luiz Henrique dos Santos Fernandes Kate Smith-Miles Ana Carolina Lorena Generating Diverse Clustering Datasets with Targeted Characteristics. 398-412 2022 BRACIS (1) https://doi.org/10.1007/978-3-031-21686-2_28 conf/bracis/2022-1 db/conf/bracis/bracis2022-1.html#FernandesSL22

Luiz Henrique dos Santos Fernandes Ana Carolina Lorena Kate Smith-Miles Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. 95 2021 14 Algorithms 3 https://doi.org/10.3390/a14030095 db/journals/algorithms/algorithms14.html#FernandesLS21

Lucas Kletzander Nysret Musliu Kate Smith-Miles Instance space analysis for a personnel scheduling problem. 617-637 2021 89 Ann. Math. Artif. Intell. 7 https://doi.org/10.1007/s10472-020-09695-2 db/journals/amai/amai89.html#KletzanderMS21

Estefania Yap Mario Andrés Muñoz Kate Smith-Miles On the diversity and robustness of parameterised multi-objective test suites. 107613 2021 110 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2021.107613 db/journals/asc/asc110.html#YapMS21

Kate Smith-Miles Jeffrey Christiansen Mario Andrés Muñoz Revisiting <i>where are the hard knapsack problems?</i> via Instance Space Analysis. 105184 2021 128 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2020.105184 db/journals/cor/cor128.html#Smith-MilesCM21

Priyanga Dilini Talagala Rob J. Hyndman Kate Smith-Miles Anomaly Detection in High-Dimensional Data. 360-374 2021 30 J. Comput. Graph. Stat. 2 https://doi.org/10.1080/10618600.2020.1807997 db/journals/jcgs/jcgs30.html#TalagalaHS21

Steven J. Edwards Davaatseren Baatar Kate Smith-Miles Andreas T. Ernst Symmetry breaking of identical projects in the high-multiplicity RCPSP/max. 1822-1843 2021 72 J. Oper. Res. Soc. 8 https://doi.org/10.1080/01605682.2019.1595192 https://www.wikidata.org/entity/Q128002824 db/journals/jors/jors72.html#EdwardsBSE21

Mario Andrés Muñoz Tao Yan Matheus R. Leal Kate Smith-Miles Ana Carolina Lorena Gisele L. Pappa Rômulo Madureira Rodrigues An Instance Space Analysis of Regression Problems. 28:1-28:25 2021 15 ACM Trans. Knowl. Discov. Data 2 https://doi.org/10.1145/3436893 db/journals/tkdd/tkdd15.html#MunozYLSLPR21

Mario Andrés Muñoz Kate Smith-Miles andremun/InstanceSpace: February 2021 Update. 2021 January https://doi.org/10.5281/zenodo.4484108 Zenodo streams/repo/zenodo

Pedro Yuri Arbs Paiva Kate Smith-Miles Maria Gabriela Valeriano Ana Carolina Lorena PyHard: a novel tool for generating hardness embeddings to support data-centric analysis. 2021 abs/2109.14430 CoRR https://arxiv.org/abs/2109.14430 db/journals/corr/corr2109.html#abs-2109-14430

Babak Abbasi Toktam Babaei Seyedeh Zahra Hosseinifard Kate Smith-Miles Maryam Dehghani Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management. 104941 2020 119 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2020.104941 db/journals/cor/cor119.html#AbbasiBHSD20

Sevvandi Kandanaarachchi Mario A. Muñoz Rob J. Hyndman Kate Smith-Miles On normalization and algorithm selection for unsupervised outlier detection. 309-354 2020 34 Data Min. Knowl. Discov. 2 https://doi.org/10.1007/s10618-019-00661-z https://www.wikidata.org/entity/Q126745737 db/journals/datamine/datamine34.html#Kandanaarachchi20

Mario A. Muñoz Kate Smith-Miles Generating New Space-Filling Test Instances for Continuous Black-Box Optimization. 379-404 2020 28 Evol. Comput. 3 https://doi.org/10.1162/evco_a_00262 https://www.wikidata.org/entity/Q91794770 db/journals/ec/ec28.html#MunozS20

Pouya Baniasadi Mehdi Foumani Kate Smith-Miles Vladimir Ejov A transformation technique for the clustered generalized traveling salesman problem with applications to logistics. 444-457 2020 285 Eur. J. Oper. Res. 2 https://doi.org/10.1016/j.ejor.2020.01.053 db/journals/eor/eor285.html#BaniasadiFSE20

Simon Bowly Kate Smith-Miles Davaatseren Baatar Hans D. Mittelmann Generation techniques for linear programming instances with controllable properties. 389-415 2020 12 Math. Program. Comput. 3 https://doi.org/10.1007/s12532-019-00170-6 db/journals/mpc/mpc12.html#BowlySBM20

Mehdi Foumani Ayaz Razeghi Kate Smith-Miles Stochastic optimization of two-machine flow shop robotic cells with controllable inspection times: From theory toward practice. 101822 2020 61 Robotics Comput. Integr. Manuf. https://doi.org/10.1016/j.rcim.2019.101822 https://www.wikidata.org/entity/Q127646118 db/journals/rcim/rcim61.html#FoumaniRS20

Estefania Yap Mario A. Muñoz Kate Smith-Miles Arnaud Liefooghe Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. 1-8 2020 CEC https://doi.org/10.1109/CEC48606.2020.9185664 conf/cec/2020 db/conf/cec/cec2020.html#YapMSL20 Conrad Chan Aldeida Aleti Alexander Heger Kate Smith-Miles Evolving stellar models to find the origins of our galaxy. 1129-1137 2019 GECCO https://doi.org/10.1145/3321707.3321714 conf/gecco/2019 db/conf/gecco/gecco2019.html#ChanAHS19 Kate Smith-Miles Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. 31 2019 EDML@SDM https://ceur-ws.org/Vol-2436/invited_2.pdf conf/sdm/2019edml db/conf/sdm/edml2019.html#Smith-Miles19 Sevvandi Kandanaarachchi Mario A. Muñoz Kate Smith-Miles Instance Space Analysis for Unsupervised Outlier Detection. 32-41 2019 EDML@SDM https://ceur-ws.org/Vol-2436/article_4.pdf conf/sdm/2019edml db/conf/sdm/edml2019.html#Kandanaarachchi19

Priyanga Dilini Talagala Rob J. Hyndman Kate Smith-Miles Anomaly Detection in High Dimensional Data. 2019 abs/1908.04000 CoRR http://arxiv.org/abs/1908.04000 db/journals/corr/corr1908.html#abs-1908-04000

Mehdi Foumani Asghar Moeini Michael Haythorpe Kate Smith-Miles A cross-entropy method for optimising robotic automated storage and retrieval systems. 6450-6472 2018 56 Int. J. Prod. Res. 19 https://doi.org/10.1080/00207543.2018.1456692 https://www.wikidata.org/entity/Q62033239 db/journals/ijpr/ijpr56.html#FoumaniMHS18

Rhyd Lewis Kate Smith-Miles A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems. 2-17 2018 52-53 J. Discrete Algorithms https://doi.org/10.1016/j.jda.2018.11.001 https://www.wikidata.org/entity/Q128954728 db/journals/jda/jda52.html#LewisS18

Mario A. Muñoz Laura Villanova Davaatseren Baatar Kate Smith-Miles Instance spaces for machine learning classification. 109-147 2018 107 Mach. Learn. 1 https://doi.org/10.1007/s10994-017-5629-5 https://www.wikidata.org/entity/Q62033260 db/journals/ml/ml107.html#MunozVBS18

Carlos Oliveira 0005 Aldeida Aleti Lars Grunske Kate Smith-Miles Mapping the Effectiveness of Automated Test Suite Generation Techniques. 771-785 2018 67 IEEE Trans. Reliab. 3 https://doi.org/10.1109/TR.2018.2832072 https://www.wikidata.org/entity/Q62033251 db/journals/tr/tr67.html#OliveiraAGS18

Carolina Segovia Kate Smith-Miles Integrating Game Theory and Data Mining for Dynamic Distribution of Police to Combat Crime. 780-783 2018 WI https://doi.org/10.1109/WI.2018.00016 https://doi.ieeecomputersociety.org/10.1109/WI.2018.00016 conf/webi/2018 db/conf/webi/webi2018.html#SegoviaS18

Mehdi Foumani Kate Smith-Miles Indra Gunawan Asghar Moeini A framework for stochastic scheduling of two-machine robotic rework cells with in-process inspection system. 492-502 2017 112 Comput. Ind. Eng. https://doi.org/10.1016/j.cie.2017.02.009 https://www.wikidata.org/entity/Q62033263 db/journals/candie/candie112.html#FoumaniSGM17

Mario A. Muñoz Kate Amanda Smith-Miles Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space. 2017 25 Evol. Comput. 4 https://doi.org/10.1162/evco_a_00194 https://www.wikidata.org/entity/Q50578113 db/journals/ec/ec25.html#MunozS17

Ingrida Steponavice Rob J. Hyndman Kate Smith-Miles Laura Villanova Dynamic algorithm selection for pareto optimal set approximation. 263-282 2017 67 J. Glob. Optim. 1-2 https://doi.org/10.1007/s10898-016-0420-x https://www.wikidata.org/entity/Q62033272 db/journals/jgo/jgo67.html#SteponaviceHSV17

Mehdi Foumani Kate Smith-Miles Indra Gunawan Scheduling of two-machine robotic rework cells: In-process, post-process and in-line inspection scenarios. 210-225 2017 91 Robotics Auton. Syst. https://doi.org/10.1016/j.robot.2017.01.009 https://www.wikidata.org/entity/Q62033293 db/journals/ras/ras91.html#FoumaniSG17

Mehdi Foumani Indra Gunawan Kate Smith-Miles Increasing Throughput for a Class of Two-Machine Robotic Cells Served by a Multifunction Robot. 1150-1159 2017 14 IEEE Trans Autom. Sci. Eng. 2 https://doi.org/10.1109/TASE.2015.2504478 https://www.wikidata.org/entity/Q62033282 db/journals/tase/tase14.html#FoumaniGS17

Mario A. Muñoz Kate Smith-Miles Non-parametric model of the space of continuous black-box optimization problems. 175-176 2017 GECCO (Companion) https://doi.org/10.1145/3067695.3075971 conf/gecco/2017c db/conf/gecco/gecco2017c.html#MunozS17 Mario A. Muñoz Kate Smith-Miles Generating custom classification datasets by targeting the instance space. 1582-1588 2017 GECCO (Companion) https://doi.org/10.1145/3067695.3082532 conf/gecco/2017c db/conf/gecco/gecco2017c.html#MunozS17a Rhydian Lewis Kate Smith-Miles Kyle Phillips The School Bus Routing Problem: An Analysis and Algorithm. 287-298 2017 IWOCA https://doi.org/10.1007/978-3-319-78825-8_24 conf/iwoca/2017 db/conf/iwoca/iwoca2017.html#LewisSP17

Shamsuddin N. Ladha Kate Smith-Miles Sharat Chandran Realistic Projection on Casual Dual-Planar Surfaces with Global Illumination Compensation. 1650014:1-1650014:29 2016 16 Int. J. Image Graph. 3 https://doi.org/10.1142/S0219467816500145 https://www.wikidata.org/entity/Q62033312 db/journals/ijig/ijig16.html#LadhaSC16

Ingrida Steponavice Mojdeh Shirazi-Manesh Rob J. Hyndman Kate Smith-Miles Laura Villanova On Sampling Methods for Costly Multi-Objective Black-Box Optimization. 273-296 2016 Advances in Stochastic and Deterministic Global Optimization https://doi.org/10.1007/978-3-319-29975-4_15 https://www.wikidata.org/entity/Q62033310 books/sp/PZZ2016 db/books/collections/PZZ2016.html#SteponaviceSHSV16

Kate Smith-Miles Simon Bowly Generating new test instances by evolving in instance space. 102-113 2015 63 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2015.04.022 https://www.wikidata.org/entity/Q62033329 db/journals/cor/cor63.html#Smith-MilesB15

Mehdi Foumani Indra Gunawan Kate Smith-Miles M. Yousef Ibrahim 0001 Notes on Feasibility and Optimality Conditions of Small-Scale Multifunction Robotic Cell Scheduling Problems With Pickup Restrictions. 821-829 2015 11 IEEE Trans. Ind. Informatics 3 https://doi.org/10.1109/TII.2014.2371334 https://www.wikidata.org/entity/Q62033335 db/journals/tii/tii11.html#FoumaniGSI15

Mario A. Muñoz Kate Smith-Miles Effects of function translation and dimensionality reduction on landscape analysis. 1336-1342 2015 CEC https://doi.org/10.1109/CEC.2015.7257043 https://www.wikidata.org/entity/Q62033323 conf/cec/2015 db/conf/cec/cec2015.html#MunozS15 Mehdi Foumani Indra Gunawan Kate Smith-Miles Resolution of deadlocks in a robotic cell scheduling problem with post-process inspection system: Avoidance and recovery scenarios. 1107-1111 2015 IEEM https://doi.org/10.1109/IEEM.2015.7385820 https://www.wikidata.org/entity/Q62033313 conf/ieem/2015 db/conf/ieem/ieem2015.html#FoumaniGS15 Xin Geng 0001 Kate Smith-Miles Incremental Learning. 912-917 2015 Encyclopedia of Biometrics https://doi.org/10.1007/978-1-4899-7488-4_304 reference/bio/2015 db/reference/bio/2.html#GengS15

Qianqian Wu Kate Smith-Miles Tianhai Tian Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. S3 2014 15 BMC Bioinform. S-12 https://doi.org/10.1186/1471-2105-15-S12-S3 https://www.wikidata.org/entity/Q41728813 db/journals/bmcbi/bmcbi15S.html#WuST14

Tianhai Tian Kate Smith-Miles Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. S8 2014 8 BMC Syst. Biol. S-1 https://doi.org/10.1186/1752-0509-8-S1-S8 https://www.wikidata.org/entity/Q33840296 db/journals/bmcsb/bmcsb8S.html#TianS14

Kate Smith-Miles Davaatseren Baatar Brendan Wreford Rhyd Lewis Towards objective measures of algorithm performance across instance space. 12-24 2014 45 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2013.11.015 https://www.wikidata.org/entity/Q62033354 db/journals/cor/cor45.html#Smith-MilesBWL14

Kate Smith-Miles Davaatseren Baatar Exploring the role of graph spectra in graph coloring algorithm performance. 107-121 2014 176 Discret. Appl. Math. https://doi.org/10.1016/j.dam.2013.11.005 https://www.wikidata.org/entity/Q62033349 db/journals/dam/dam176.html#Smith-MilesB14

Ingrida Steponavice Rob J. Hyndman Kate Smith-Miles Laura Villanova Efficient Identification of the Pareto Optimal Set. 341-352 2014 LION https://doi.org/10.1007/978-3-319-09584-4_29 https://www.wikidata.org/entity/Q62033347 conf/lion/2014 db/conf/lion/lion2014.html#SteponaviceHSV14

Kareem T. Elgindy Kate Smith-Miles On the optimization of Gegenbauer operational matrix of integration. 511-524 2013 39 Adv. Comput. Math. 3-4 https://doi.org/10.1007/s10444-012-9289-5 https://www.wikidata.org/entity/Q62033363 db/journals/adcm/adcm39.html#ElgindyS13

Qianqian Wu Kate Smith-Miles Tianshou Zhou Tianhai Tian Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. S14 2013 7 BMC Syst. Biol. S-4 https://doi.org/10.1186/1752-0509-7-S4-S14 https://www.wikidata.org/entity/Q35102067 db/journals/bmcsb/bmcsb7S.html#WuSZT13

Leo Lopes Kate Smith-Miles Generating Applicable Synthetic Instances for Branch Problems. 563-577 2013 61 Oper. Res. 3 https://doi.org/10.1287/opre.2013.1169 https://www.wikidata.org/entity/Q62033359 db/journals/ior/ior61.html#LopesS13

Kareem T. Elgindy Kate Smith-Miles Solving boundary value problems, integral, and integro-differential equations using Gegenbauer integration matrices. 307-325 2013 237 J. Comput. Appl. Math. 1 https://doi.org/10.1016/j.cam.2012.05.024 https://www.wikidata.org/entity/Q62033369 db/journals/jcam/jcam237.html#ElgindyS13b

Kareem T. Elgindy Kate Amanda Smith-Miles Optimal Gegenbauer quadrature over arbitrary integration nodes. 82-106 2013 242 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2012.10.020 https://www.wikidata.org/entity/Q62033364 db/journals/jcam/jcam242.html#ElgindyS13

Kareem T. Elgindy Kate Amanda Smith-Miles Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method. 93-116 2013 251 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2013.03.032 https://www.wikidata.org/entity/Q62033358 db/journals/jcam/jcam251.html#ElgindyS13a

Qianqian Wu Kate Smith-Miles Tianhai Tian Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. 416-421 2013 BIBM https://doi.org/10.1109/BIBM.2013.6732528 https://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732528 https://www.wikidata.org/entity/Q62033356 conf/bibm/2013 db/conf/bibm/bibm2013.html#WuST13 Yanfei Kang Kate Smith-Miles Danijel Belusic How to extract meaningful shapes from noisy time-series subsequences? 65-72 2013 CIDM https://doi.org/10.1109/CIDM.2013.6597219 https://www.wikidata.org/entity/Q62033360 conf/cidm/2013 db/conf/cidm/cidm2013.html#KangSB13 Kate Smith-Miles Brendan Wreford Leo Lopes Nur Insani Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining. 417-432 2013 Hybrid Metaheuristics https://doi.org/10.1007/978-3-642-30671-6_16 series/sci/2013-434 db/series/sci/sci434.html#Smith-MilesWLI13

Kate Smith-Miles Leo Lopes Measuring instance difficulty for combinatorial optimization problems. 875-889 2012 39 Comput. Oper. Res. 5 https://doi.org/10.1016/j.cor.2011.07.006 https://www.wikidata.org/entity/Q62033372 db/journals/cor/cor39.html#Smith-MilesL12

Clifton Phua Kate Smith-Miles Vincent C. S. Lee Ross W. Gayler Resilient Identity Crime Detection. 533-546 2012 24 IEEE Trans. Knowl. Data Eng. 3 https://doi.org/10.1109/TKDE.2010.262 http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.262 https://www.wikidata.org/entity/Q62033374 db/journals/tkde/tkde24.html#PhuaSLG12

Qianqian Wu Kate Smith-Miles Tianhai Tian A two-variable model for stochastic modelling of chemical events with multi-step reactions. 1-6 2012 BIBM https://doi.org/10.1109/BIBM.2012.6392681 https://doi.ieeecomputersociety.org/10.1109/BIBM.2012.6392681 https://www.wikidata.org/entity/Q62033370 conf/bibm/2012 db/conf/bibm/bibm2012.html#WuST12 Sverre Gunnersen Kate Smith-Miles Vincent C. S. Lee Towards objective data selection in bankruptcy prediction. 1-8 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6256129 https://www.wikidata.org/entity/Q62033378 conf/cec/2012 db/conf/cec/cec2012.html#GunnersenSL12 Kate Smith-Miles Thomas T. Tan Measuring algorithm footprints in instance space. 1-8 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6252992 https://www.wikidata.org/entity/Q62033371 conf/cec/2012 db/conf/cec/cec2012.html#Smith-MilesT12

Kate Smith-Miles Jano I. van Hemert Discovering the suitability of optimisation algorithms by learning from evolved instances. 87-104 2011 61 Ann. Math. Artif. Intell. 2 https://doi.org/10.1007/s10472-011-9230-5 https://www.wikidata.org/entity/Q62033379 db/journals/amai/amai61.html#Smith-MilesH11

Donald E. Brown Fazel Famili Gerhard Paass Kate Smith-Miles Lyn C. Thomas Richard Weber 0002 Ricardo Baeza-Yates Cristián Bravo Gaston L'Huillier Sebastián Maldonado 0001 Future trends in business analytics and optimization. 1001-1017 2011 15 Intell. Data Anal. 6 https://doi.org/10.3233/IDA-2011-0506 https://www.wikidata.org/entity/Q62033381 db/journals/ida/ida15.html#BrownFPSTWBBLM11

Xin Geng 0001 Kate Smith-Miles Zhi-Hua Zhou Liang Wang 0001 Face Image Modeling by Multilinear Subspace Analysis With Missing Values. 881-892 2011 41 IEEE Trans. Syst. Man Cybern. Part B 3 https://doi.org/10.1109/TSMCB.2010.2097588 https://www.wikidata.org/entity/Q38496291 db/journals/tsmc/tsmcb41.html#GengSZW11

Shamsuddin N. Ladha Kate Smith-Miles Sharat Chandran Projection defocus correction using adaptive kernel sampling and geometric correction in dual-planar environments. 9-14 2011 CVPR Workshops https://doi.org/10.1109/CVPRW.2011.5981686 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2011.5981686 https://www.wikidata.org/entity/Q62033385 conf/cvpr/2011w db/conf/cvpr/cvprw2011.html#LadhaSC11 Kate Smith-Miles Leo Lopes Generalising Algorithm Performance in Instance Space: A Timetabling Case Study. 524-538 2011 LION https://doi.org/10.1007/978-3-642-25566-3_41 https://www.wikidata.org/entity/Q62033383 conf/lion/2011 db/conf/lion/lion2011.html#Smith-MilesL11 Kate Amanda Smith-Miles Md. Rafiqul Islam 0001 Meta-Learning of Instance Selection for Data Summarization. 77-95 2011 Meta-Learning in Computational Intelligence https://doi.org/10.1007/978-3-642-20980-2_2 https://www.wikidata.org/entity/Q62033384 series/sci/2011-358 db/series/sci/sci358.html#Smith-MilesI11 Kate Smith-Miles Exploratory Data Analysis. 486-488 2011 International Encyclopedia of Statistical Science https://doi.org/10.1007/978-3-642-04898-2_242 reference/stat/2011 db/reference/stat/stat2011.html#Smith-Miles11

Xin Geng 0001 Kate Smith-Miles Liang Wang 0001 Ming Li 0010 Qiang Wu 0001 Context-aware fusion: A case study on fusion of gait and face for human identification in video. 3660-3673 2010 43 Pattern Recognit. 10 https://doi.org/10.1016/j.patcog.2010.04.012 https://www.wikidata.org/entity/Q62033387 db/journals/pr/pr43.html#GengSWLW10

Xin Geng 0001 Kate Smith-Miles Zhi-Hua Zhou Facial Age Estimation by Learning from Label Distributions. 2010 AAAI https://doi.org/10.1609/aaai.v24i1.7657 conf/aaai/2010 db/conf/aaai/aaai2010.html#GengSZ10 451-456 Kate Smith-Miles Md. Rafiqul Islam 0001 Meta-learning for data summarization based on instance selection method. 1-8 2010 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2010.5585986 https://www.wikidata.org/entity/Q62033392 conf/cec/2010 db/conf/cec/cec2010.html#Smith-MilesI10 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. 1-8 2010 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2010.5586165 https://www.wikidata.org/entity/Q58297417 conf/cec/2010 db/conf/cec/cec2010.html#VillanovaFCPHS10 Kate Smith-Miles Jano I. van Hemert Xin Yu Lim Understanding TSP Difficulty by Learning from Evolved Instances. 266-280 2010 LION https://doi.org/10.1007/978-3-642-13800-3_29 https://www.wikidata.org/entity/Q62033395 conf/lion/2010 db/conf/lion/lion2010.html#Smith-MilesHL10 Leo Lopes Kate Smith-Miles Pitfalls in Instance Generation for Udine Timetabling. 299-302 2010 LION https://doi.org/10.1007/978-3-642-13800-3_31 https://www.wikidata.org/entity/Q62033393 conf/lion/2010 db/conf/lion/lion2010.html#LopesS10

Clifton Phua Vincent C. S. Lee Kate Smith-Miles Ross W. Gayler A Comprehensive Survey of Data Mining-based Fraud Detection Research http://arxiv.org/abs/1009.6119 2010 CoRR abs/1009.6119 db/journals/corr/corr1009.html#abs-1009-6119

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. 595-612 2009 195 Eur. J. Oper. Res. 2 https://doi.org/10.1016/j.ejor.2008.02.015 https://www.wikidata.org/entity/Q62033405 db/journals/eor/eor195.html#PhuaGLS09

Xiaozhe Wang Kate Amanda Smith-Miles Rob J. Hyndman Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. 2581-2594 2009 72 Neurocomputing 10-12 https://doi.org/10.1016/j.neucom.2008.10.017 https://www.wikidata.org/entity/Q58297444 db/journals/ijon/ijon72.html#WangSH09

Kate Smith-Miles What Data Mining Can Discover From Your Face... No More Lying About Your Age! 3 2009 AusDM http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV101Smith-Miles.html conf/ausdm/2009 db/conf/ausdm/ausdm2009.html#Smith-Miles09 Xin Geng 0001 Kate Smith-Miles Facial age estimation by multilinear subspace analysis. 865-868 2009 ICASSP https://doi.org/10.1109/ICASSP.2009.4959721 https://doi.ieeecomputersociety.org/10.1109/ICASSP.2009.4959721 https://www.wikidata.org/entity/Q62033400 conf/icassp/2009 db/conf/icassp/icassp2009.html#GengS09 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. 89-103 2009 LION https://doi.org/10.1007/978-3-642-11169-3_7 https://www.wikidata.org/entity/Q62033399 conf/lion/2009 db/conf/lion/lion2009.html#Smith-MilesJGT09 Xin Geng 0001 Kate Smith-Miles Zhi-Hua Zhou Liang Wang 0001 Face image modeling by multilinear subspace analysis with missing values. 629-632 2009 ACM Multimedia https://doi.org/10.1145/1631272.1631373 https://www.wikidata.org/entity/Q62033402 conf/mm/2009 db/conf/mm/mm2009.html#GengSZW09 Xin Geng 0001 Kate Smith-Miles Incremental Learning. 731-735 2009 Encyclopedia of Biometrics https://doi.org/10.1007/978-0-387-73003-5_304 reference/bio/2009 db/reference/bio/i.html#GengS09 Clifton Phua Vincent C. S. Lee Kate Smith-Miles The Personal Name Problem and a Data Mining Solution. 1524-1531 2009 Encyclopedia of Data Warehousing and Mining http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=11022 reference/dataware/2009 db/reference/dataware/dataware2009.html#PhuaLS09

Kate Smith-Miles Cross-disciplinary perspectives on meta-learning for algorithm selection. 2008 41 ACM Comput. Surv. 1 https://doi.org/10.1145/1456650.1456656 https://www.wikidata.org/entity/Q62033410 db/journals/csur/csur41.html#Smith-Miles08 6:1-6:25

Xin Geng 0001 Zhi-Hua Zhou Kate Smith-Miles Correction to "Automatic Age Estimation Based on Facial Aging Patterns". 368 2008 30 IEEE Trans. Pattern Anal. Mach. Intell. 2 https://doi.org/10.1109/TPAMI.2008.8 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.8 https://www.wikidata.org/entity/Q62033409 db/journals/pami/pami30.html#GengZS08

Xin Geng 0001 Zhi-Hua Zhou Kate Smith-Miles Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. 1354-1368 2008 19 IEEE Trans. Neural Networks 8 https://doi.org/10.1109/TNN.2008.2000275 https://www.wikidata.org/entity/Q47400722 db/journals/tnn/tnn19.html#GengZS08

Kate Amanda Smith-Miles Towards insightful algorithm selection for optimisation using meta-learning concepts. 4118-4124 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634391 https://www.wikidata.org/entity/Q62033414 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#Smith-Miles08 Xin Geng 0001 Kate Smith-Miles Zhi-Hua Zhou Facial age estimation by nonlinear aging pattern subspace. 721-724 2008 ACM Multimedia https://doi.org/10.1145/1459359.1459469 https://www.wikidata.org/entity/Q62033412 conf/mm/2008 db/conf/mm/mm2008.html#GengSZ08 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. 715-722 2008 PAKDD https://doi.org/10.1007/978-3-540-68125-0_68 https://www.wikidata.org/entity/Q62033416 conf/pakdd/2008 db/conf/pakdd/pakdd2008.html#SiewCSS08 Xin Geng 0001 Liang Wang 0001 Ming Li 0010 Qiang Wu 0001 Kate Smith-Miles Adaptive Fusion of Gait and Face for Human Identification in Video. 1-6 2008 WACV https://doi.org/10.1109/WACV.2008.4544006 https://doi.ieeecomputersociety.org/10.1109/WACV.2008.4544006 https://www.wikidata.org/entity/Q62033406 conf/wacv/2008 db/conf/wacv/wacv2008.html#GengWLWS08

Mafruz Zaman Ashrafi David Taniar Kate A. Smith Redundant association rules reduction techniques. 29-63 2007 2 Int. J. Bus. Intell. Data Min. 1 https://doi.org/10.1504/IJBIDM.2007.012945 https://www.wikidata.org/entity/Q62033428 db/journals/ijbidm/ijbidm2.html#AshrafiTS07

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. 1-3 2007 30 J. Netw. Comput. Appl. 1 https://doi.org/10.1016/j.jnca.2005.06.004 https://www.wikidata.org/entity/Q62033427 db/journals/jnca/jnca30.html#AbrahamSJJ07

Shawkat Ali 0001 Kate Smith-Miles On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations. 1-18 2007 11 Int. J. Knowl. Based Intell. Eng. Syst. 1 https://doi.org/10.3233/KES-2007-11101 db/journals/kes/kes11.html#AliS07

Xin Geng 0001 Zhi-Hua Zhou Kate Smith-Miles Automatic Age Estimation Based on Facial Aging Patterns. 2234-2240 2007 29 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2007.70733 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.70733 https://www.wikidata.org/entity/Q50890131 db/journals/pami/pami29.html#GengZS07

Leelani Kumari Wickramasinghe L. Damminda Alahakoon Kate Smith-Miles A novel Episodic Associative Memory model for enhanced classification accuracy. 1193-1202 2007 28 Pattern Recognit. Lett. 10 https://doi.org/10.1016/j.patrec.2007.02.012 https://www.wikidata.org/entity/Q62033419 db/journals/prl/prl28.html#WickramasingheAS07

Kate Smith-Miles Meta-Learning: From Classification to Forecasting, to Optimization, and Beyond. 2 2007 conf/ACISicis/2007 ACIS-ICIS https://doi.org/10.1109/ICIS.2007.133 https://doi.ieeecomputersociety.org/10.1109/ICIS.2007.133 db/conf/ACISicis/ACISicis2007.html#Smith-Miles07 Clifton Phua Kate Smith-Miles Vincent C. S. Lee Ross W. Gayler Adaptive Spike Detection for Resilient Data Stream Mining. 181-188 2007 AusDM http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV70Phua.html conf/ausdm/2007 db/conf/ausdm/ausdm2007.html#PhuaSLG07

Shawkat Ali 0001 Kate A. Smith On learning algorithm selection for classification. 119-138 2006 6 Appl. Soft Comput. 2 https://doi.org/10.1016/j.asoc.2004.12.002 https://www.wikidata.org/entity/Q62033437 db/journals/asc/asc6.html#AliS06

Xiaozhe Wang Kate A. Smith Rob J. Hyndman Characteristic-Based Clustering for Time Series Data. 335-364 2006 13 Data Min. Knowl. Discov. 3 https://doi.org/10.1007/s10618-005-0039-x https://www.wikidata.org/entity/Q58297485 db/journals/datamine/datamine13.html#WangSH06

Ling Tan David Taniar Kate A. Smith Maximum-entropy estimated distribution model for classification problems. 1-10 2006 3 Int. J. Hybrid Intell. Syst. 1 http://content.iospress.com/articles/international-journal-of-hybrid-intelligent-systems/his00019 db/journals/ijhis/ijhis3.html#TanTS06

Shawkat Ali 0001 Kate Amanda Smith-Miles A meta-learning approach to automatic kernel selection for support vector machines. 173-186 2006 70 Neurocomputing 1-3 https://doi.org/10.1016/j.neucom.2006.03.004 https://www.wikidata.org/entity/Q62033431 db/journals/ijon/ijon70.html#AliS06

Shawkat Ali 0001 Kate Amanda Smith-Miles Improved Support Vector Machine Generalization Using Normalized Input Space. 362-371 2006 conf/ausai/2006 Australian Conference on Artificial Intelligence https://doi.org/10.1007/11941439_40 db/conf/ausai/ausai2006.html#AliS06 Rowena Chau Chung-Hsing Yeh Kate Smith-Miles Fuzzy-neuro Web-Based Multilingual Knowledge Management. 1229-1238 2006 conf/fskd/2006 FSKD https://doi.org/10.1007/11881599_154 https://www.wikidata.org/entity/Q107807514 db/conf/fskd/fskd2006.html#ChauYS06 Clifton Phua Ross W. Gayler Kate Smith-Miles Vincent C. S. Lee Communal Detection of Implicit Personal Identity Streams. 620-625 2006 conf/icdm/2006w ICDM Workshops https://doi.org/10.1109/ICDMW.2006.46 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.46 db/conf/icdm/icdmw2006.html#PhuaGSL06 Rowena Chau Kate Amanda Smith-Miles Chung-Hsing Yeh Ontology Learning from Text: A Soft Computing Paradigm. 295-301 2006 conf/iconip/2006-3 ICONIP (3) https://doi.org/10.1007/11893295_34 db/conf/iconip/iconip2006-3.html#ChauSY06 Rasika Amarasiri Damminda Alahakoon Kate Smith-Miles Clustering Massive High Dimensional Data with Dynamic Feature Maps. 814-823 2006 conf/iconip/2006-2 ICONIP (2) https://doi.org/10.1007/11893257_90 db/conf/iconip/iconip2006-2.html#AmarasiriAS06 Clifton Phua Vincent C. S. Lee Ross W. Gayler Kate A. Smith Temporal Representation in Spike Detection of Sparse Personal Identity Streams. 115-126 2006 conf/wisi/2006 WISI https://doi.org/10.1007/11734628_14 https://www.wikidata.org/entity/Q62033439 db/conf/wisi/wisi2006.html#PhuaLGS06

Kate A. Smith Applications of neural networks. 2495-2497 2005 32 Comput. Oper. Res. https://doi.org/10.1016/j.cor.2004.03.014 https://www.wikidata.org/entity/Q62033444 db/journals/cor/cor32.html#Smith05

Ling Tan David Taniar Kate A. Smith A clustering algorithm based on an estimated distribution model. 229-245 2005 1 Int. J. Bus. Intell. Data Min. 2 https://doi.org/10.1504/IJBIDM.2005.008364 https://www.wikidata.org/entity/Q62033443 db/journals/ijbidm/ijbidm1.html#TanTS05

Mafruz Zaman Ashrafi David Taniar Kate A. Smith PPDAM: Privacy-Preserving Distributed Association-Rule-Mining Algorithm. 49-69 2005 1 Int. J. Intell. Inf. Technol. 1 https://doi.org/10.4018/jiit.2005010104 db/journals/ijiit/ijiit1.html#AshrafiTS05

Shawkat Ali 0001 Kate A. Smith Kernal Width Selection for SVM Classification: A Meta-Learning Approach. 78-97 2005 1 Int. J. Data Warehous. Min. 4 https://doi.org/10.4018/jdwm.2005100104 db/journals/jdwm/ijdwm1.html#AliS05

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. 85-100 2005 21 J. Manag. Inf. Syst. 4 https://doi.org/10.1080/07421222.2005.11045826 db/journals/jmis/jmis21.html#ChurilovBSSD05

Xiaozhe Wang Ajith Abraham Kate A. Smith Intelligent web traffic mining and analysis. 147-165 2005 28 J. Netw. Comput. Appl. 2 https://doi.org/10.1016/j.jnca.2004.01.006 https://www.wikidata.org/entity/Q62033450 db/journals/jnca/jnca28.html#WangAS05

Terence Kwok Kate A. Smith Optimization via Intermittency with a Self-Organizing Neural Network. 2454-2481 2005 17 Neural Comput. 11 https://doi.org/10.1162/0899766054796860 https://www.wikidata.org/entity/Q46698341 db/journals/neco/neco17.html#KwokS05

Mafruz Zaman Ashrafi David Taniar Kate A. Smith Redundant Association Rules Reduction Techniques. 254-263 2005 conf/ausai/2005 Australian Conference on Artificial Intelligence https://doi.org/10.1007/11589990_28 https://www.wikidata.org/entity/Q62033454 db/conf/ausai/ausai2005.html#AshrafiTS05 Leelani Kumari Wickramasinghe L. Damminda Alahakoon Kate A. Smith Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model. 180-186 2005 conf/iat/2005 IAT https://doi.org/10.1109/IAT.2005.57 https://doi.ieeecomputersociety.org/10.1109/IAT.2005.57 https://www.wikidata.org/entity/Q62033445 db/conf/iat/iat2005.html#WickramasingheAS05 Xiaozhe Wang Kate A. Smith Rob J. Hyndman Dimension Reduction for Clustering Time Series Using Global Characteristics. 792-795 2005 conf/iccS/2005-3 International Conference on Computational Science (3) https://doi.org/10.1007/11428862_108 db/conf/iccS/iccS2005-3.html#WangSH05 Rowena Chau Chung-Hsing Yeh Kate A. Smith A Personalized Multilingual Web Content Miner: PMWeb Miner. 956-965 2005 conf/iccsa/2005-2 ICCSA (2) https://doi.org/10.1007/11424826_103 db/conf/iccsa/iccsa2005-2.html#ChauYS05 Rowena Chau Chung-Hsing Yeh Kate A. Smith A Neural Network Model for Hierarchical Multilingual Text Categorization. 238-245 2005 conf/isnn/2005-2 ISNN (2) https://doi.org/10.1007/11427445_38 db/conf/isnn/isnn2005-2.html#ChauYS05 Mafruz Zaman Ashrafi David Taniar Kate A. Smith An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining. 125-135 2005 conf/pakdd/2005 PAKDD https://doi.org/10.1007/11430919_16 https://www.wikidata.org/entity/Q135233050 db/conf/pakdd/pakdd2005.html#AshrafiTS05 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. 215-221 2005 conf/webi/2005 Web Intelligence https://doi.org/10.1109/WI.2005.70 https://doi.ieeecomputersociety.org/10.1109/WI.2005.70 https://www.wikidata.org/entity/Q61264964 db/conf/webi/webi2005.html#AmarasiriASP05 Xiaozhe Wang Ajith Abraham Kate A. Smith Soft Computing Paradigms for Web Access Pattern Analysis. 233-250 2005 Classification and Clustering for Knowledge Discovery https://doi.org/10.1007/11011620_15 series/sci/2005-4 db/series/sci/sci4.html#WangAS05 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. 283-303 2005 Classification and Clustering for Knowledge Discovery https://doi.org/10.1007/11011620_18 series/sci/2005-4 db/series/sci/sci4.html#SiewSCW05

Mafruz Zaman Ashrafi David Taniar Kate A. Smith ODAM: An Optimized Distributed Association Rule Mining Algorithm. 2004 5 IEEE Distributed Syst. Online 3 https://doi.org/10.1109/MDSO.2004.1285877 https://doi.ieeecomputersociety.org/10.1109/MDSO.2004.1285877 db/journals/dsonline/dsonline5.html#AshrafiTS04

Terence Kwok Kate A. Smith A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization. 84-98 2004 15 IEEE Trans. Neural Networks 1 https://doi.org/10.1109/TNN.2002.806621 https://www.wikidata.org/entity/Q45074302 db/journals/tnn/tnn15.html#KwokS04

Mafruz Zaman Ashrafi David Taniar Kate A. Smith Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining. 381-392 https://doi.org/10.1007/978-3-540-24571-1_35 https://www.wikidata.org/entity/Q135233279 2004 conf/dasfaa/2004 DASFAA db/conf/dasfaa/dasfaa2004.html#AshrafiTS04 Mafruz Zaman Ashrafi David Taniar Kate A. Smith A New Approach of Eliminating Redundant Association Rules. 465-474 https://doi.org/10.1007/978-3-540-30075-5_45 https://www.wikidata.org/entity/Q135233274 2004 conf/dexa/2004 DEXA db/conf/dexa/dexa2004.html#AshrafiTS04 Leonid Churilov Adil M. Bagirov Daniel Schwartz Kate A. Smith Michael Dally Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. 2004 conf/hicss/2004 HICSS https://doi.org/10.1109/HICSS.2004.1265355 https://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265355 db/conf/hicss/hicss2004.html#ChurilovBSSD04 Rasika Amarasiri L. Damminda Alahakoon Kate A. Smith HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering. 216-221 2004 conf/his/2004 HIS https://doi.org/10.1109/ICHIS.2004.52 https://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.52 db/conf/his/his2004.html#AmarasiriAS04 Rowena Chau Chung-Hsing Yeh Kate A. Smith Personalized Multilingual Web Content Mining. 155-163 https://doi.org/10.1007/978-3-540-30132-5_26 2004 conf/kes/2004-1 KES db/conf/kes/kes2004-1.html#ChauYS04

Kate A. Smith Alan Ng Web page clustering using a self-organizing map of user navigation patterns. 245-256 2003 35 Decis. Support Syst. 2 https://doi.org/10.1016/S0167-9236(02)00109-4 https://www.wikidata.org/entity/Q62033463 db/journals/dss/dss35.html#SmithN03

Rowena Chau Chung-Hsing Yeh Kate A. Smith Developing a Personal Multilingual Web Space. 145-150 2003 conf/appinf/2003 Applied Informatics db/conf/appinf/appinf2003.html#ChauYS03 Terence Kwok Kate A. Smith A Self-Organising Neural Network with Intermittent Switching for Combinatorial Optimisation. 13-21 2003 conf/his/2003 HIS db/conf/his/his2003.html#KwokS03 Daniel Schwartz Kate A. Smith Leonid Churilov Michael Dally Richard Weber 0002 Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. 126-136 2003 conf/his/2003 HIS db/conf/his/his2003.html#SchwartzSCDW03 Marcos Calle Sebastián Lozano 0001 Kate A. Smith Gabriel Villa An XML Schema Definition for an Operations Research Modeling Language. 311-320 2003 conf/his/2003 HIS db/conf/his/his2003.html#CalleLSV03 Shawkat Ali 0001 Kate A. Smith Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering. 553-562 2003 conf/his/2003 HIS db/conf/his/his2003.html#AliS03 Susan E. Bedingfield Kate A. Smith Predicting Bad Credit Risk: An Evolutionary Approach. 1081-1088 https://doi.org/10.1007/3-540-44989-2_129 2003 conf/icann/2003 ICANN db/conf/icann/icann2003.html#BedingfieldS03 Xiaozhe Wang Damminda Alahakoon Kate A. Smith Improved Web Searching through Neural Network Based Index Generation. 151-158 https://doi.org/10.1007/3-540-44863-2_16 2003 conf/iccS/2003-3 International Conference on Computational Science db/conf/iccS/iccS2003-3.html#WangAS03 Susan E. Bedingfield Kate A. Smith Evolutionary Rule Generation Classification and Its Application to Multi-class Data. 868-876 https://doi.org/10.1007/3-540-44864-0_89 2003 conf/iccS/2003-4 International Conference on Computational Science db/conf/iccS/iccS2003-4.html#BedingfieldS03 José Antonio Parejo Jesús Racero Fernando Guerrero Terence Kwok Kate A. Smith FOM: A Framework for Metaheuristic Optimization. 886-895 https://doi.org/10.1007/3-540-44864-0_91 2003 conf/iccS/2003-4 International Conference on Computational Science db/conf/iccS/iccS2003-4.html#ParejoRGKS03 Marcos Calle Sebastián Lozano 0001 Kate A. Smith Terence Kwok Juan José Domínguez-Jiménez A DTD for an XML-Based Mathematical Modeling Language. 968-977 https://doi.org/10.1007/3-540-44864-0_100 2003 conf/iccS/2003-4 International Conference on Computational Science db/conf/iccS/iccS2003-4.html#CalleLSKD03 Mafruz Zaman Ashrafi David Taniar Kate A. Smith A Compress-Based Association Mining Algorithm for Large Dataset. 978-987 https://doi.org/10.1007/3-540-44864-0_101 https://www.wikidata.org/entity/Q135233253 2003 conf/iccS/2003-4 International Conference on Computational Science db/conf/iccS/iccS2003-4.html#AshrafiTS03 Shawkat Ali 0001 Kate A. Smith Automatic parameter selection for polynomial kernel. 243-249 2003 conf/iri/2003 IRI db/conf/iri/iri2003.html#AliS03 https://doi.org/10.1109/IRI.2003.1251420 Terence Kwok Kate A. Smith Performance-Enhancing Bifurcations in a Self-Organising Neural Network. 390-397 https://doi.org/10.1007/3-540-44868-3_50 2003 conf/iwann/2003-1 IWANN (1) db/conf/iwann/iwann2003-1.html#KwokS03 Mafruz Zaman Ashrafi David Taniar Kate A. Smith Towards Privacy Preserving Distributed Association Rule Mining. 279-289 https://doi.org/10.1007/978-3-540-24604-6_27 https://www.wikidata.org/entity/Q135233065 2003 conf/iwdc/2003 IWDC db/conf/iwdc/iwdc2003.html#AshrafiTS03 Jean-Yves Potvin Kate A. Smith Artificial Neural Networks for Combinatorial Optimization. 429-455 2003 Handbook of Metaheuristics https://doi.org/10.1007/0-306-48056-5_15 books/sp/03/GK2003 db/books/collections/GK2003.html#PotvinS03

Ai Cheo Yeo Kate A. Smith Robert J. Willis Malcolm Brooks A mathematical programming approach to optimise insurance premium pricing within a data mining framework. 1197-1203 2002 53 J. Oper. Res. Soc. 11 https://doi.org/10.1057/palgrave.jors.2601413 https://www.wikidata.org/entity/Q62033464 db/journals/jors/jors53.html#YeoSWB02

Terence Kwok Kate A. Smith Sebastián Lozano 0001 David Taniar Parallel Fuzzy c-Means Clustering for Large Data Sets. 365-374 2002 conf/europar/2002 Euro-Par https://doi.org/10.1007/3-540-45706-2_48 https://www.wikidata.org/entity/Q135232896 db/conf/europar/europar2002.html#KwokSLT02 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. 601-605 2002 conf/fskd/2002 FSKD db/conf/fskd/fskd2002.html#SiewSCW02 Xiaozhe Wang Ajith Abraham Kate A. Smith Soft Computing Paradigms for Web Access Pattern Analysis. 631-635 2002 conf/fskd/2002 FSKD db/conf/fskd/fskd2002.html#WangAS02 Eu-Gene Siew Kate A. Smith Leonid Churilov Mohamed Ibrahim A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia. 154 2002 conf/hicss/2002 HICSS https://doi.org/10.1109/HICSS.2002.994125 https://doi.ieeecomputersociety.org/10.1109/HICSS.2002.994125 db/conf/hicss/hicss2002.html#SiewSCI02 Xiaozhe Wang Kate A. Smith Clustering Web User Interests Using Self Organising Maps. 843-852 2002 conf/his/2002 HIS db/conf/his/his2002.html#WangS02 Xiaozhe Wang Ajith Abraham Kate A. Smith Web Traffic Mining Using a Concurrent Neuro-Fuzzy Approach. 853-862 2002 conf/his/2002 HIS db/conf/his/his2002.html#WangAS02 Ling Tan David Taniar Kate A. Smith Parametric Optimization in Data Mining Incorporated with GA-Based Search. 582-591 2002 conf/iccS/2002-1 International Conference on Computational Science (1) https://doi.org/10.1007/3-540-46043-8_59 https://www.wikidata.org/entity/Q135232886 db/conf/iccS/iccS2002-1.html#TamTS02 Ling Tan David Taniar Kate A. Smith A Taxonomy for Inter-Model Parallelism in High Performance Data Mining. 534-539 2002 conf/iceis/2002 ICEIS db/conf/iceis/iceis2002.html#TanTS02 Mafruz Zaman Ashrafi David Taniar Kate A. Smith A Data Mining Architecture for Distributed Environments. 27-38 https://doi.org/10.1007/3-540-48080-3_3 https://www.wikidata.org/entity/Q135233078 2002 conf/iics/2002 IICS db/conf/iics/iics2002.html#AshrafiTS02 Ling Tan David Taniar Kate A. Smith A New Parallel Genetic Algorithm. 321- https://doi.org/10.1109/ISPAN.2002.1004301 https://doi.ieeecomputersociety.org/10.1109/ISPAN.2002.1004301 2002 conf/ispan/2002 ISPAN db/conf/ispan/ispan2002.html#TanTS02 Mafruz Zaman Ashrafi David Taniar Kate A. Smith A Data Mining Architecture for Clustered Environments. 89-98 2002 conf/para/2002 PARA https://doi.org/10.1007/3-540-48051-X_10 https://www.wikidata.org/entity/Q135233163 db/conf/para/para2002.html#AshrafiTS02

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. 39-50 2001 10 Intell. Syst. Account. Finance Manag. 1 https://doi.org/10.1002/isaf.196 db/journals/isafm/isafm10.html#YeoSWB01

Kate A. Smith Frederick Woo Victor Ciesielski Remzi Ibrahim Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map. 169-179 2001 conf/his/2001 HIS db/conf/his/his2001.html#SmithWCI01 José M. García 0002 Kate A. Smith Sebastián Lozano 0001 Fernando Guerrero A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem. 431-447 2001 conf/his/2001 HIS db/conf/his/his2001.html#GarciaSLG01 Kate A. Smith Sheldon Chuan Peter van der Putten Determining the Validity of Clustering for Data Fusion. 627-636 2001 conf/his/2001 HIS db/conf/his/his2001.html#SmithCP01 Sebastián Lozano 0001 Juan José Domínguez-Jiménez Fernando Guerrero Kate A. Smith Genetic Line Search. 318-326 2001 conf/iccS/2001-2 International Conference on Computational Science (2) https://doi.org/10.1007/3-540-45718-6_36 db/conf/iccS/iccS2001-2.html#LozanoDGS01 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. 390-399 2001 conf/iccS/2001-2 International Conference on Computational Science (2) https://doi.org/10.1007/3-540-45718-6_43 db/conf/iccS/iccS2001-2.html#YeoSWB01 Terence Kwok Kate A. Smith Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation. 733-740 2001 conf/iwann/2001-1 IWANN (1) https://doi.org/10.1007/3-540-45720-8_88 db/conf/iwann/iwann2001-1.html#KwokS01 Kate A. Smith Jatinder N. D. Gupta Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function. 741-748 2001 conf/iwann/2001-1 IWANN (1) https://doi.org/10.1007/3-540-45720-8_89 db/conf/iwann/iwann2001-1.html#SmithG01

Kate A. Smith Jatinder N. D. Gupta Neural networks in business: techniques and applications for the operations researcher. 1023-1044 2000 27 Comput. Oper. Res. 11-12 https://doi.org/10.1016/S0305-0548(99)00141-0 https://www.wikidata.org/entity/Q62033470 db/journals/cor/cor27.html#SmithG00

Kate A. Smith Robert J. Willis Malcolm Brooks An analysis of customer retention and insurance claim patterns using data mining: a case study. 532-541 2000 51 J. Oper. Res. Soc. 5 https://doi.org/10.1057/palgrave.jors.2600941 db/journals/jors/jors51.html#SmithWB00

Terence Kwok Kate A. Smith Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework. 731-744 2000 13 Neural Networks 7 https://doi.org/10.1016/S0893-6080(00)00047-2 https://www.wikidata.org/entity/Q52069222 db/journals/nn/nn13.html#KwokS00

Larisa Lokmic Kate A. Smith Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. 343-347 2000 conf/ijcnn/2000-6 IJCNN (6) https://doi.org/10.1109/IJCNN.2000.859419 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859419 db/conf/ijcnn/ijcnn2000-6.html#LokmicS00

Kate A. Smith Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research. 15-34 1999 11 INFORMS J. Comput. 1 https://doi.org/10.1287/ijoc.11.1.15 db/journals/informs/informs11.html#Smith99

Terence Kwok Kate A. Smith A unified framework for chaotic neural-network approaches to combinatorial optimization. 978-981 1999 10 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/72.774279 https://www.wikidata.org/entity/Q62033471 db/journals/tnn/tnn10.html#KwokS99

Lipo Wang 0001 Kate A. Smith On chaotic simulated annealing. 716-718 1998 9 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/72.701185 https://www.wikidata.org/entity/Q51894165 db/journals/tnn/tnn9.html#WangS98

Kate A. Smith Marimuthu Palaniswami Mohan Krishnamoorthy Neural techniques for combinatorial optimization with applications. 1301-1318 1998 9 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/72.728380 https://www.wikidata.org/entity/Q62033474 db/journals/tnn/tnn9.html#SmithPK98

David Abramson 0001 Kate A. Smith Paul Logothetis David J. Duke FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems. 20688-20693 1998 conf/euromicro/1998 EUROMICRO https://doi.org/10.1109/EURMIC.1998.708089 https://doi.ieeecomputersociety.org/10.1109/EURMIC.1998.708089 db/conf/euromicro/euromicro1998.html#AbramsonSLD98

Kate A. Smith Marimuthu Palaniswami Static and Dynamic Channel Assignment Using Neural Networks. 238-249 1997 15 IEEE J. Sel. Areas Commun. 2 db/journals/jsac/jsac15.html#SmithP97 https://doi.org/10.1109/49.552073 https://www.wikidata.org/entity/Q62033476

Kate A. Smith Marimuthu Palaniswami Mohan Krishnamoorthy A hybrid neural approach to combinatorial optimization. 597-610 1996 23 Comput. Oper. Res. 6 https://doi.org/10.1016/0305-0548(95)00064-X https://www.wikidata.org/entity/Q62033479 db/journals/cor/cor23.html#SmithPK96

Kate A. Smith An argument for abandoning the travelling salesman problem as a neural-network benchmark. 1542-1544 1996 7 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/72.548187 https://www.wikidata.org/entity/Q62033481 db/journals/tnn/tnn7.html#Smith96

Babak Abbasi Ajith Abraham David Abramson 0001 Damminda AlahakoonL. Damminda Alahakoon Aldeida Aleti A. B. M. Shawkat AliShawkat Ali 0001 Hossein Alipour Rasika Amarasiri Nicolau Andrés-Thió Mafruz Zaman Ashrafi Davaatseren Baatar Toktam Babaei Ricardo Baeza-Yates Adil M. Bagirov Pouya Baniasadi Susan E. Bedingfield Danijel Belusic Simon Bowly Cristián Bravo Malcolm Brooks Donald E. Brown Marcos Calle Davide Carta Conrad Chan Sharat Chandran Rowena Chau Ziye Chen Jeffrey Christiansen Sheldon Chuan Leonid Churilov Victor Ciesielski Alysson M. Costa Arnaud De Coster Michael Dally Maryam Dehghani Juan José Domínguez-Jiménez Bo Du 0001 David J. Duke Steven J. Edwards Vladimir Ejov Kareem T. Elgindy Andreas T. Ernst Paolo Falcaro Fazel Famili Luiz Henrique dos Santos Fernandes Mehdi Foumani José M. García 0002 Ross W. Gayler Xin Geng 0001 John W. Giffin Mingming Gong Lars Grunske Fernando Guerrero Indra Gunawan Sverre Gunnersen Jatinder N. D. Gupta Julia Handl Michael Haythorpe Alexander Heger Jano I. van Hemert Charles D. Hill Lloyd C. L. Hollenberg Seyedeh Zahra Hosseinifard Rob J. Hyndman M. Yousef Ibrahim 0001 Mohamed Ibrahim Remzi Ibrahim Nur Insani Md. Rafiqul Islam 0001 Lakhmi C. Jain Ravi Jain Ross J. W. James Sevvandi Kandanaarachchi Yanfei Kang Vivek Katial Michael Kirley Lucas Kletzander Mohan Krishnamoorthy Terence Kwok Shamsuddin N. Ladha Matheus R. Leal Vincent Cheng-Siong LeeVincent C. S. Lee Rhyd LewisRhydian Lewis Gaston L'Huillier Ming Li 0010 Arnaud Liefooghe Xin Yu Lim Chang Liu 0124 Yu Liu 0005 Paul Logothetis Larisa Lokmic Leo Lopes Manuel López-Ibáñez 0001 Ana Carolina Lorena Sebastián Lozano 0001 Sebastián Maldonado 0001 Hans D. Mittelmann Asghar Moeini Camila Castro Moreno Mario A. MuñozMario Andrés Muñoz Nysret Musliu Neelofar Alan Ng Carlos Oliveira 0005 Gerhard Paass Pedro Yuri Arbs Paiva Marimuthu Palaniswami Gisele L. Pappa José Antonio Parejo João Luiz Junho Pereira Kyle Phillips Clifton Phua Irene Poli Jean-Yves Potvin Malin Premaratne Peter van der Putten Guoqi Qian Jesús Racero Anthony Rasulo Ayaz Razeghi Rômulo Madureira Rodrigues Andrea Schaerf Johannes Schoisswohl Daniel Schwartz Carolina Segovia Mojdeh Shirazi-Manesh Eu-Gene Siew Ingrida Steponavice Joachim P. Sturmberg Priyanga Dilini Talagala Ling Tan Thomas T. Tan David Taniar Lyn C. Thomas Tianhai Tian Yiqing Tu Maria Gabriela Valeriano Gabriel Villa Laura Villanova Liang Wang 0001 Lipo Wang 0001 Xiaozhe Wang Jeff Wassertheil Tony Wauters Richard Weber 0002 Leelani Kumari Wickramasinghe Robert J. Willis Frederick Woo Brendan Wreford Qiang Wu 0001 Qianqian Wu Tao Yan Estefania Yap Chung-Hsing Yeh Ai Cheo Yeo Tianshou Zhou Zhi-Hua Zhou