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ORCIDKate Smith-Miles
Kate Amanda Smith-Miles – Kate A. Smith
Person information
- affiliation: University of Melbourne, Australia
- affiliation (former): Monash University, Melbourne, Australia
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Journal Articles
- 2024
[j88]Hossein Alipour
, Mario Andrés Muñoz, Kate Smith-Miles:
On the impact of initialisation strategies on Maximum Flow algorithm performance. Comput. Oper. Res. 163: 106492 (2024)- [j87]João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena:
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. Data Min. Knowl. Discov. 38(2): 461-500 (2024) - 2023
- [j86]Kate Smith-Miles, Mario Andrés Muñoz:
Instance Space Analysis for Algorithm Testing: Methodology and Software Tools. ACM Comput. Surv. 55(12): 255:1-255:31 (2023) - [j85]Hossein Alipour, Mario Andrés Muñoz, Kate Smith-Miles:
Enhanced instance space analysis for the maximum flow problem. Eur. J. Oper. Res. 304(2): 411-428 (2023) - [j84]Sevvandi Kandanaarachchi, Kate Smith-Miles:
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. J. Mach. Learn. Res. 24: 177:1-177:52 (2023) - [j83]Neelofar, Kate Smith-Miles, Mario Andrés Muñoz, Aldeida Aleti:
Instance Space Analysis of Search-Based Software Testing. IEEE Trans. Software Eng. 49(4): 2642-2660 (2023) - 2022
- [j82]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. Mach. Learn. 111(8): 3085-3123 (2022) - [j81]Mario Andrés Muñoz, Michael Kirley, Kate Smith-Miles:
Analyzing randomness effects on the reliability of exploratory landscape analysis. Nat. Comput. 21(2): 131-154 (2022) - [j80]Kate Smith-Miles, Xin Geng:
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2689-2697 (2022) - [j79]Arnaud De Coster, Nysret Musliu, Andrea Schaerf, Johannes Schoisswohl, Kate Smith-Miles:
Algorithm selection and instance space analysis for curriculum-based course timetabling. J. Sched. 25(1): 35-58 (2022) - [j78]Estefania Yap, Mario Andrés Muñoz, Kate Smith-Miles:
Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis. IEEE Trans. Evol. Comput. 26(6): 1246-1260 (2022) - 2021
- [j77]Luiz Henrique dos Santos Fernandes, Ana Carolina Lorena, Kate Smith-Miles:
Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. Algorithms 14(3): 95 (2021) - [j76]Lucas Kletzander, Nysret Musliu, Kate Smith-Miles:
Instance space analysis for a personnel scheduling problem. Ann. Math. Artif. Intell. 89(7): 617-637 (2021) - [j75]Estefania Yap, Mario Andrés Muñoz, Kate Smith-Miles:
On the diversity and robustness of parameterised multi-objective test suites. Appl. Soft Comput. 110: 107613 (2021) - [j74]Kate Smith-Miles, Jeffrey Christiansen, Mario Andrés Muñoz:
Revisiting where are the hard knapsack problems? via Instance Space Analysis. Comput. Oper. Res. 128: 105184 (2021) - [j73]Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles:
Anomaly Detection in High-Dimensional Data. J. Comput. Graph. Stat. 30(2): 360-374 (2021) - [j72]Steven J. Edwards, Davaatseren Baatar, Kate Smith-Miles, Andreas T. Ernst:
Symmetry breaking of identical projects in the high-multiplicity RCPSP/max. J. Oper. Res. Soc. 72(8): 1822-1843 (2021) - [j71]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. ACM Trans. Knowl. Discov. Data 15(2): 28:1-28:25 (2021) - 2020
- [j70]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. Comput. Oper. Res. 119: 104941 (2020) - [j69]Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, Kate Smith-Miles:
On normalization and algorithm selection for unsupervised outlier detection. Data Min. Knowl. Discov. 34(2): 309-354 (2020) - [j68]Mario A. Muñoz, Kate Smith-Miles:
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization. Evol. Comput. 28(3): 379-404 (2020) - [j67]Pouya Baniasadi, Mehdi Foumani, Kate Smith-Miles, Vladimir Ejov:
A transformation technique for the clustered generalized traveling salesman problem with applications to logistics. Eur. J. Oper. Res. 285(2): 444-457 (2020) - [j66]Simon Bowly, Kate Smith-Miles, Davaatseren Baatar, Hans D. Mittelmann:
Generation techniques for linear programming instances with controllable properties. Math. Program. Comput. 12(3): 389-415 (2020) - [j65]Mehdi Foumani, Ayaz Razeghi, Kate Smith-Miles:
Stochastic optimization of two-machine flow shop robotic cells with controllable inspection times: From theory toward practice. Robotics Comput. Integr. Manuf. 61: 101822 (2020) - 2018
- [j64]Mehdi Foumani, Asghar Moeini, Michael Haythorpe, Kate Smith-Miles:
A cross-entropy method for optimising robotic automated storage and retrieval systems. Int. J. Prod. Res. 56(19): 6450-6472 (2018) - [j63]Rhyd Lewis, Kate Smith-Miles:
A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems. J. Discrete Algorithms 52-53: 2-17 (2018) - [j62]Mario A. Muñoz, Laura Villanova, Davaatseren Baatar, Kate Smith-Miles:
Instance spaces for machine learning classification. Mach. Learn. 107(1): 109-147 (2018) - [j61]Carlos Oliveira, Aldeida Aleti, Lars Grunske, Kate Smith-Miles:
Mapping the Effectiveness of Automated Test Suite Generation Techniques. IEEE Trans. Reliab. 67(3): 771-785 (2018) - 2017
- [j60]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. Comput. Ind. Eng. 112: 492-502 (2017) - [j59]Mario A. Muñoz, Kate Amanda Smith-Miles:
Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space. Evol. Comput. 25(4) (2017) - [j58]Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Dynamic algorithm selection for pareto optimal set approximation. J. Glob. Optim. 67(1-2): 263-282 (2017) - [j57]Mehdi Foumani, Kate Smith-Miles, Indra Gunawan:
Scheduling of two-machine robotic rework cells: In-process, post-process and in-line inspection scenarios. Robotics Auton. Syst. 91: 210-225 (2017) - [j56]Mehdi Foumani, Indra Gunawan, Kate Smith-Miles:
Increasing Throughput for a Class of Two-Machine Robotic Cells Served by a Multifunction Robot. IEEE Trans Autom. Sci. Eng. 14(2): 1150-1159 (2017) - 2016
- [j55]Shamsuddin N. Ladha, Kate Smith-Miles, Sharat Chandran:
Realistic Projection on Casual Dual-Planar Surfaces with Global Illumination Compensation. Int. J. Image Graph. 16(3): 1650014:1-1650014:29 (2016) - 2015
- [j54]Kate Smith-Miles, Simon Bowly:
Generating new test instances by evolving in instance space. Comput. Oper. Res. 63: 102-113 (2015) - [j53]Mehdi Foumani, Indra Gunawan, Kate Smith-Miles, M. Yousef Ibrahim:
Notes on Feasibility and Optimality Conditions of Small-Scale Multifunction Robotic Cell Scheduling Problems With Pickup Restrictions. IEEE Trans. Ind. Informatics 11(3): 821-829 (2015) - 2014
- [j52]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. BMC Bioinform. 15(S-12): S3 (2014) - [j51]Tianhai Tian, Kate Smith-Miles:
Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. BMC Syst. Biol. 8(S-1): S8 (2014) - [j50]Kate Smith-Miles, Davaatseren Baatar, Brendan Wreford, Rhyd Lewis:
Towards objective measures of algorithm performance across instance space. Comput. Oper. Res. 45: 12-24 (2014) - [j49]Kate Smith-Miles, Davaatseren Baatar:
Exploring the role of graph spectra in graph coloring algorithm performance. Discret. Appl. Math. 176: 107-121 (2014) - 2013
- [j48]Kareem T. Elgindy, Kate Smith-Miles:
On the optimization of Gegenbauer operational matrix of integration. Adv. Comput. Math. 39(3-4): 511-524 (2013) - [j47]Qianqian Wu, Kate Smith-Miles, Tianshou Zhou, Tianhai Tian:
Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. BMC Syst. Biol. 7(S-4): S14 (2013) - [j46]Leo Lopes, Kate Smith-Miles:
Generating Applicable Synthetic Instances for Branch Problems. Oper. Res. 61(3): 563-577 (2013) - [j45]Kareem T. Elgindy, Kate Smith-Miles:
Solving boundary value problems, integral, and integro-differential equations using Gegenbauer integration matrices. J. Comput. Appl. Math. 237(1): 307-325 (2013) - [j44]Kareem T. Elgindy, Kate Amanda Smith-Miles:
Optimal Gegenbauer quadrature over arbitrary integration nodes. J. Comput. Appl. Math. 242: 82-106 (2013) - [j43]Kareem T. Elgindy, Kate Amanda Smith-Miles:
Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method. J. Comput. Appl. Math. 251: 93-116 (2013) - 2012
- [j42]Kate Smith-Miles, Leo Lopes:
Measuring instance difficulty for combinatorial optimization problems. Comput. Oper. Res. 39(5): 875-889 (2012) - [j41]Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler:
Resilient Identity Crime Detection. IEEE Trans. Knowl. Data Eng. 24(3): 533-546 (2012) - 2011
- [j40]Kate Smith-Miles, Jano I. van Hemert:
Discovering the suitability of optimisation algorithms by learning from evolved instances. Ann. Math. Artif. Intell. 61(2): 87-104 (2011) - [j39]Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado:
Future trends in business analytics and optimization. Intell. Data Anal. 15(6): 1001-1017 (2011) - [j38]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Trans. Syst. Man Cybern. Part B 41(3): 881-892 (2011) - 2010
- [j37]Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu:
Context-aware fusion: A case study on fusion of gait and face for human identification in video. Pattern Recognit. 43(10): 3660-3673 (2010) - 2009
- [j36]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. Eur. J. Oper. Res. 195(2): 595-612 (2009) - [j35]Xiaozhe Wang, Kate Amanda Smith-Miles, Rob J. Hyndman:
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. Neurocomputing 72(10-12): 2581-2594 (2009) - 2008
- [j34]Kate Smith-Miles:
Cross-disciplinary perspectives on meta-learning for algorithm selection. ACM Comput. Surv. 41(1): 6:1-6:25 (2008) - [j33]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Correction to "Automatic Age Estimation Based on Facial Aging Patterns". IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 368 (2008) - [j32]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. IEEE Trans. Neural Networks 19(8): 1354-1368 (2008) - 2007
- [j31]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
Redundant association rules reduction techniques. Int. J. Bus. Intell. Data Min. 2(1): 29-63 (2007) - [j30]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. J. Netw. Comput. Appl. 30(1): 1-3 (2007) - [j29]Shawkat Ali, Kate Smith-Miles:
On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations. Int. J. Knowl. Based Intell. Eng. Syst. 11(1): 1-18 (2007) - [j28]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Automatic Age Estimation Based on Facial Aging Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2234-2240 (2007) - [j27]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate Smith-Miles:
A novel Episodic Associative Memory model for enhanced classification accuracy. Pattern Recognit. Lett. 28(10): 1193-1202 (2007) - 2006
- [j26]Shawkat Ali, Kate A. Smith:
On learning algorithm selection for classification. Appl. Soft Comput. 6(2): 119-138 (2006) - [j25]Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman:
Characteristic-Based Clustering for Time Series Data. Data Min. Knowl. Discov. 13(3): 335-364 (2006) - [j24]Ling Tan, David Taniar, Kate A. Smith:
Maximum-entropy estimated distribution model for classification problems. Int. J. Hybrid Intell. Syst. 3(1): 1-10 (2006) - [j23]Shawkat Ali, Kate Amanda Smith-Miles:
A meta-learning approach to automatic kernel selection for support vector machines. Neurocomputing 70(1-3): 173-186 (2006) - 2005
- [j22]Kate A. Smith:
Applications of neural networks. Comput. Oper. Res. 32: 2495-2497 (2005) - [j21]Ling Tan, David Taniar, Kate A. Smith:
A clustering algorithm based on an estimated distribution model. Int. J. Bus. Intell. Data Min. 1(2): 229-245 (2005) - [j20]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
PPDAM: Privacy-Preserving Distributed Association-Rule-Mining Algorithm. Int. J. Intell. Inf. Technol. 1(1): 49-69 (2005) - [j19]Shawkat Ali, Kate A. Smith:
Kernal Width Selection for SVM Classification: A Meta-Learning Approach. Int. J. Data Warehous. Min. 1(4): 78-97 (2005) - [j18]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. J. Manag. Inf. Syst. 21(4): 85-100 (2005) - [j17]Xiaozhe Wang, Ajith Abraham, Kate A. Smith:
Intelligent web traffic mining and analysis. J. Netw. Comput. Appl. 28(2): 147-165 (2005) - [j16]Terence Kwok, Kate A. Smith:
Optimization via Intermittency with a Self-Organizing Neural Network. Neural Comput. 17(11): 2454-2481 (2005) - 2004
- [j15]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
ODAM: An Optimized Distributed Association Rule Mining Algorithm. IEEE Distributed Syst. Online 5(3) (2004) - [j14]Terence Kwok, Kate A. Smith:
A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization. IEEE Trans. Neural Networks 15(1): 84-98 (2004) - 2003
- [j13]Kate A. Smith, Alan Ng:
Web page clustering using a self-organizing map of user navigation patterns. Decis. Support Syst. 35(2): 245-256 (2003) - 2002
- [j12]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. J. Oper. Res. Soc. 53(11): 1197-1203 (2002) - 2001
- [j11]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. Intell. Syst. Account. Finance Manag. 10(1): 39-50 (2001) - 2000
- [j10]Kate A. Smith, Jatinder N. D. Gupta:
Neural networks in business: techniques and applications for the operations researcher. Comput. Oper. Res. 27(11-12): 1023-1044 (2000) - [j9]Kate A. Smith, Robert J. Willis, Malcolm Brooks:
An analysis of customer retention and insurance claim patterns using data mining: a case study. J. Oper. Res. Soc. 51(5): 532-541 (2000) - [j8]Terence Kwok, Kate A. Smith:
Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework. Neural Networks 13(7): 731-744 (2000) - 1999
- [j7]Kate A. Smith:
Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research. INFORMS J. Comput. 11(1): 15-34 (1999) - [j6]Terence Kwok, Kate A. Smith:
A unified framework for chaotic neural-network approaches to combinatorial optimization. IEEE Trans. Neural Networks 10(4): 978-981 (1999) - 1998
- [j5]Lipo Wang, Kate A. Smith:
On chaotic simulated annealing. IEEE Trans. Neural Networks 9(4): 716-718 (1998) - [j4]Kate A. Smith, Marimuthu Palaniswami, Mohan Krishnamoorthy:
Neural techniques for combinatorial optimization with applications. IEEE Trans. Neural Networks 9(6): 1301-1318 (1998) - 1997
- [j3]Kate A. Smith, Marimuthu Palaniswami:
Static and Dynamic Channel Assignment Using Neural Networks. IEEE J. Sel. Areas Commun. 15(2): 238-249 (1997) - 1996
- [j2]Kate A. Smith, Marimuthu Palaniswami, Mohan Krishnamoorthy:
A hybrid neural approach to combinatorial optimization. Comput. Oper. Res. 23(6): 597-610 (1996) - [j1]Kate A. Smith:
An argument for abandoning the travelling salesman problem as a neural-network benchmark. IEEE Trans. Neural Networks 7(6): 1542-1544 (1996)
Conference and Workshop Papers
- 2023
- [c87]Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles:
Generating Dynamic Kernels via Transformers for Lane Detection. ICCV 2023: 6812-6821 - 2022
- [c86]Luiz Henrique dos Santos Fernandes, Kate Smith-Miles, Ana Carolina Lorena:
Generating Diverse Clustering Datasets with Targeted Characteristics. BRACIS (1) 2022: 398-412 - 2020
- [c85]Estefania Yap, Mario A. Muñoz, Kate Smith-Miles, Arnaud Liefooghe:
Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. CEC 2020: 1-8 - 2019
- [c84]Conrad Chan, Aldeida Aleti, Alexander Heger, Kate Smith-Miles:
Evolving stellar models to find the origins of our galaxy. GECCO 2019: 1129-1137 - [c83]Kate Smith-Miles:
Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. EDML@SDM 2019: 31 - [c82]Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles:
Instance Space Analysis for Unsupervised Outlier Detection. EDML@SDM 2019: 32-41 - 2018
- [c81]Carolina Segovia, Kate Smith-Miles:
Integrating Game Theory and Data Mining for Dynamic Distribution of Police to Combat Crime. WI 2018: 780-783 - 2017
- [c80]Mario A. Muñoz, Kate Smith-Miles:
Non-parametric model of the space of continuous black-box optimization problems. GECCO (Companion) 2017: 175-176 - [c79]Mario A. Muñoz, Kate Smith-Miles:
Generating custom classification datasets by targeting the instance space. GECCO (Companion) 2017: 1582-1588 - [c78]Rhydian Lewis, Kate Smith-Miles, Kyle Phillips:
The School Bus Routing Problem: An Analysis and Algorithm. IWOCA 2017: 287-298 - 2015
- [c77]Mario A. Muñoz, Kate Smith-Miles:
Effects of function translation and dimensionality reduction on landscape analysis. CEC 2015: 1336-1342 - [c76]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. IEEM 2015: 1107-1111 - 2014
- [c75]Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Efficient Identification of the Pareto Optimal Set. LION 2014: 341-352 - 2013
- [c74]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. BIBM 2013: 416-421 - [c73]Yanfei Kang, Kate Smith-Miles, Danijel Belusic:
How to extract meaningful shapes from noisy time-series subsequences? CIDM 2013: 65-72 - 2012
- [c72]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
A two-variable model for stochastic modelling of chemical events with multi-step reactions. BIBM 2012: 1-6 - [c71]Sverre Gunnersen, Kate Smith-Miles, Vincent C. S. Lee:
Towards objective data selection in bankruptcy prediction. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c70]Kate Smith-Miles, Thomas T. Tan:
Measuring algorithm footprints in instance space. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c69]Shamsuddin N. Ladha, Kate Smith-Miles, Sharat Chandran:
Projection defocus correction using adaptive kernel sampling and geometric correction in dual-planar environments. CVPR Workshops 2011: 9-14 - [c68]Kate Smith-Miles, Leo Lopes:
Generalising Algorithm Performance in Instance Space: A Timetabling Case Study. LION 2011: 524-538 - 2010
- [c67]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou:
Facial Age Estimation by Learning from Label Distributions. AAAI 2010: 451-456 - [c66]Kate Smith-Miles, Rafiqul M. D. Islam:
Meta-learning for data summarization based on instance selection method. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c65]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. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c64]Kate Smith-Miles, Jano I. van Hemert, Xin Yu Lim:
Understanding TSP Difficulty by Learning from Evolved Instances. LION 2010: 266-280 - [c63]Leo Lopes, Kate Smith-Miles:
Pitfalls in Instance Generation for Udine Timetabling. LION 2010: 299-302 - 2009
- [c62]Kate Smith-Miles:
What Data Mining Can Discover From Your Face... No More Lying About Your Age! AusDM 2009: 3 - [c61]Xin Geng, Kate Smith-Miles:
Facial age estimation by multilinear subspace analysis. ICASSP 2009: 865-868 - [c60]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. LION 2009: 89-103 - [c59]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face image modeling by multilinear subspace analysis with missing values. ACM Multimedia 2009: 629-632 - 2008
- [c58]Kate Amanda Smith-Miles:
Towards insightful algorithm selection for optimisation using meta-learning concepts. IJCNN 2008: 4118-4124 - [c57]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou:
Facial age estimation by nonlinear aging pattern subspace. ACM Multimedia 2008: 721-724 - [c56]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. PAKDD 2008: 715-722 - [c55]Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles:
Adaptive Fusion of Gait and Face for Human Identification in Video. WACV 2008: 1-6 - 2007
- [c54]Kate Smith-Miles:
Meta-Learning: From Classification to Forecasting, to Optimization, and Beyond. ACIS-ICIS 2007: 2 - [c53]Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler:
Adaptive Spike Detection for Resilient Data Stream Mining. AusDM 2007: 181-188 - 2006
- [c52]Shawkat Ali, Kate Amanda Smith-Miles:
Improved Support Vector Machine Generalization Using Normalized Input Space. Australian Conference on Artificial Intelligence 2006: 362-371 - [c51]Rowena Chau, Chung-Hsing Yeh, Kate Smith-Miles:
Fuzzy-neuro Web-Based Multilingual Knowledge Management. FSKD 2006: 1229-1238 - [c50]Clifton Phua, Ross W. Gayler, Kate Smith-Miles, Vincent C. S. Lee:
Communal Detection of Implicit Personal Identity Streams. ICDM Workshops 2006: 620-625 - [c49]Rowena Chau, Kate Amanda Smith-Miles, Chung-Hsing Yeh:
Ontology Learning from Text: A Soft Computing Paradigm. ICONIP (3) 2006: 295-301 - [c48]Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles:
Clustering Massive High Dimensional Data with Dynamic Feature Maps. ICONIP (2) 2006: 814-823 - [c47]Clifton Phua, Vincent C. S. Lee, Ross W. Gayler, Kate A. Smith:
Temporal Representation in Spike Detection of Sparse Personal Identity Streams. WISI 2006: 115-126 - 2005
- [c46]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
Redundant Association Rules Reduction Techniques. Australian Conference on Artificial Intelligence 2005: 254-263 - [c45]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate A. Smith:
Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model. IAT 2005: 180-186 - [c44]Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman:
Dimension Reduction for Clustering Time Series Using Global Characteristics. International Conference on Computational Science (3) 2005: 792-795 - [c43]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith:
A Personalized Multilingual Web Content Miner: PMWeb Miner. ICCSA (2) 2005: 956-965 - [c42]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith:
A Neural Network Model for Hierarchical Multilingual Text Categorization. ISNN (2) 2005: 238-245 - [c41]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining. PAKDD 2005: 125-135 - [c40]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. Web Intelligence 2005: 215-221 - 2004
- [c39]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining. DASFAA 2004: 381-392 - [c38]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
A New Approach of Eliminating Redundant Association Rules. DEXA 2004: 465-474 - [c37]Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally:
Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004 - [c36]Rasika Amarasiri, L. Damminda Alahakoon, Kate A. Smith:
HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering. HIS 2004: 216-221 - [c35]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith:
Personalized Multilingual Web Content Mining. KES 2004: 155-163 - 2003
- [c34]Rowena Chau, Chung-Hsing Yeh, Kate A. Smith:
Developing a Personal Multilingual Web Space. Applied Informatics 2003: 145-150 - [c33]Terence Kwok, Kate A. Smith:
A Self-Organising Neural Network with Intermittent Switching for Combinatorial Optimisation. HIS 2003: 13-21 - [c32]Daniel Schwartz, Kate A. Smith, Leonid Churilov, Michael Dally, Richard Weber:
Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. HIS 2003: 126-136 - [c31]Marcos Calle, Sebastián Lozano, Kate A. Smith, Gabriel Villa:
An XML Schema Definition for an Operations Research Modeling Language. HIS 2003: 311-320 - [c30]Shawkat Ali, Kate A. Smith:
Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering. HIS 2003: 553-562 - [c29]Susan E. Bedingfield, Kate A. Smith:
Predicting Bad Credit Risk: An Evolutionary Approach. ICANN 2003: 1081-1088 - [c28]Xiaozhe Wang, Damminda Alahakoon, Kate A. Smith:
Improved Web Searching through Neural Network Based Index Generation. International Conference on Computational Science 2003: 151-158 - [c27]Susan E. Bedingfield, Kate A. Smith:
Evolutionary Rule Generation Classification and Its Application to Multi-class Data. International Conference on Computational Science 2003: 868-876 - [c26]José Antonio Parejo, Jesús Racero, Fernando Guerrero, Terence Kwok, Kate A. Smith:
FOM: A Framework for Metaheuristic Optimization. International Conference on Computational Science 2003: 886-895 - [c25]Marcos Calle, Sebastián Lozano, Kate A. Smith, Terence Kwok, Juan José Domínguez-Jiménez:
A DTD for an XML-Based Mathematical Modeling Language. International Conference on Computational Science 2003: 968-977 - [c24]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
A Compress-Based Association Mining Algorithm for Large Dataset. International Conference on Computational Science 2003: 978-987 - [c23]Shawkat Ali, Kate A. Smith:
Automatic parameter selection for polynomial kernel. IRI 2003: 243-249 - [c22]Terence Kwok, Kate A. Smith:
Performance-Enhancing Bifurcations in a Self-Organising Neural Network. IWANN (1) 2003: 390-397 - [c21]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
Towards Privacy Preserving Distributed Association Rule Mining. IWDC 2003: 279-289 - 2002
- [c20]Terence Kwok, Kate A. Smith, Sebastián Lozano, David Taniar:
Parallel Fuzzy c-Means Clustering for Large Data Sets. Euro-Par 2002: 365-374 - [c19]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. FSKD 2002: 601-605 - [c18]Xiaozhe Wang, Ajith Abraham, Kate A. Smith:
Soft Computing Paradigms for Web Access Pattern Analysis. FSKD 2002: 631-635 - [c17]Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Mohamed Ibrahim:
A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia. HICSS 2002: 154 - [c16]Xiaozhe Wang, Kate A. Smith:
Clustering Web User Interests Using Self Organising Maps. HIS 2002: 843-852 - [c15]Xiaozhe Wang, Ajith Abraham, Kate A. Smith:
Web Traffic Mining Using a Concurrent Neuro-Fuzzy Approach. HIS 2002: 853-862 - [c14]Ling Tan, David Taniar, Kate A. Smith:
Parametric Optimization in Data Mining Incorporated with GA-Based Search. International Conference on Computational Science (1) 2002: 582-591 - [c13]Ling Tan, David Taniar, Kate A. Smith:
A Taxonomy for Inter-Model Parallelism in High Performance Data Mining. ICEIS 2002: 534-539 - [c12]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
A Data Mining Architecture for Distributed Environments. IICS 2002: 27-38 - [c11]Ling Tan, David Taniar, Kate A. Smith:
A New Parallel Genetic Algorithm. ISPAN 2002: 321- - [c10]Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
A Data Mining Architecture for Clustered Environments. PARA 2002: 89-98 - 2001
- [c9]Kate A. Smith, Frederick Woo, Victor Ciesielski, Remzi Ibrahim:
Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map. HIS 2001: 169-179 - [c8]José M. García, Kate A. Smith, Sebastián Lozano, Fernando Guerrero:
A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem. HIS 2001: 431-447 - [c7]Kate A. Smith, Sheldon Chuan, Peter van der Putten:
Determining the Validity of Clustering for Data Fusion. HIS 2001: 627-636 - [c6]Sebastián Lozano, Juan José Domínguez-Jiménez, Fernando Guerrero, Kate A. Smith:
Genetic Line Search. International Conference on Computational Science (2) 2001: 318-326 - [c5]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. International Conference on Computational Science (2) 2001: 390-399 - [c4]Terence Kwok, Kate A. Smith:
Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation. IWANN (1) 2001: 733-740 - [c3]Kate A. Smith, Jatinder N. D. Gupta:
Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function. IWANN (1) 2001: 741-748 - 2000
- [c2]Larisa Lokmic, Kate A. Smith:
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. IJCNN (6) 2000: 343-347 - 1998
- [c1]David Abramson, Kate A. Smith, Paul Logothetis, David J. Duke:
FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems. EUROMICRO 1998: 20688-20693
Parts in Books or Collections
- 2016
- [p6]Ingrida Steponavice, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
On Sampling Methods for Costly Multi-Objective Black-Box Optimization. Advances in Stochastic and Deterministic Global Optimization 2016: 273-296 - 2013
- [p5]Kate Smith-Miles, Brendan Wreford, Leo Lopes, Nur Insani:
Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining. Hybrid Metaheuristics 2013: 417-432 - 2011
- [p4]Kate Amanda Smith-Miles, Rafiqul M. D. Islam:
Meta-Learning of Instance Selection for Data Summarization. Meta-Learning in Computational Intelligence 2011: 77-95 - 2005
- [p3]Xiaozhe Wang, Ajith Abraham, Kate A. Smith:
Soft Computing Paradigms for Web Access Pattern Analysis. Classification and Clustering for Knowledge Discovery 2005: 233-250 - [p2]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. Classification and Clustering for Knowledge Discovery 2005: 283-303 - 2003
- [p1]Jean-Yves Potvin, Kate A. Smith:
Artificial Neural Networks for Combinatorial Optimization. Handbook of Metaheuristics 2003: 429-455
Reference Works
- 2015
- [r4]Xin Geng, Kate Smith-Miles:
Incremental Learning. Encyclopedia of Biometrics 2015: 912-917 - 2011
- [r3]Kate Smith-Miles:
Exploratory Data Analysis. International Encyclopedia of Statistical Science 2011: 486-488 - 2009
- [r2]Xin Geng, Kate Smith-Miles:
Incremental Learning. Encyclopedia of Biometrics 2009: 731-735 - [r1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles:
The Personal Name Problem and a Data Mining Solution. Encyclopedia of Data Warehousing and Mining 2009: 1524-1531
Informal and Other Publications
- 2024
- [i7]Nicolau Andrés-Thió, Mario Andrés Muñoz, Kate Smith-Miles:
Characterising harmful data sources when constructing multi-fidelity surrogate models. CoRR abs/2403.08118 (2024) - 2023
- [i6]Ziye Chen, Kate Smith-Miles, Bo Du, Guoqi Qian, Mingming Gong:
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. CoRR abs/2306.04927 (2023) - [i5]Sevvandi Kandanaarachchi, Kate Smith-Miles:
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. CoRR abs/2307.15850 (2023) - [i4]Neelofar, Kate Smith-Miles, Mario Andrés Muñoz, Aldeida Aleti:
Instance Space Analysis of Search-Based Software Testing. CoRR abs/2312.02392 (2023) - 2021
- [i3]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. CoRR abs/2109.14430 (2021) - 2019
- [i2]Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles:
Anomaly Detection in High Dimensional Data. CoRR abs/1908.04000 (2019) - 2010
- [i1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles, Ross W. Gayler:
A Comprehensive Survey of Data Mining-based Fraud Detection Research. CoRR abs/1009.6119 (2010)
Coauthor Index
Mario A. Muñoz
aka: Mario Andrés Muñoz
aka: Mario Andrés Muñoz
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