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Andy J. Keane

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2008
26EEAndras Sobester, Prasanth B. Nair, Andy J. Keane: Genetic Programming Approaches for Solving Elliptic Partial Differential Equations. IEEE Trans. Evolutionary Computation 12(4): 469-478 (2008)
2007
25EEZongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum: Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(1): 66-76 (2007)
2006
24EEArindam Choudhury, Prasanth B. Nair, Andy J. Keane: Constructing a speculative kernel machine for pattern classification. Neural Networks 19(1): 84-89 (2006)
2005
23EEM. Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmin L. Wason, Fenglian Xu, Andy J. Keane, Simon J. Cox: Implementation and utilisation of a Grid-enabled problem solving environment in Matlab. Future Generation Comp. Syst. 21(6): 920-929 (2005)
2004
22EEZhuoan Jiao, Jasmin L. Wason, Wenbin Song, Fenglian Xu, M. Hakki Eres, Andy J. Keane, Simon J. Cox: Databases, Workflows and the Grid in a Service Oriented Environment. Euro-Par 2004: 972-979
21EEWenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee: A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. ICARCV 2004: 2274-2279
20EEGang Xue, Wenbin Song, Andy J. Keane, Simon J. Cox: Developing Services for Design Optimisation on the Grid. IEEE SCC 2004: 391-398
19 Yew-Soon Ong, Andy J. Keane: Meta-Lamarckian learning in memetic algorithms. IEEE Trans. Evolutionary Computation 8(2): 99-110 (2004)
18EEGang Xue, Wenbin Song, Simon J. Cox, Andy J. Keane: Numerical Optimisation as Grid Services for Engineering Design. J. Grid Comput. 2(3): 223-238 (2004)
2003
17EEWenbin Song, Andy J. Keane, M. Hakki Eres, Graeme E. Pound, Simon J. Cox: Two Dimensional Airfoil Optimisation Using CFD in a Grid Computing Environment. Euro-Par 2003: 525-532
16EEGraeme E. Pound, M. Hakki Eres, Jasmin L. Wason, Zhuoan Jiao, Andy J. Keane, Simon J. Cox: A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab. IPDPS 2003: 50
15EEM. Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmin L. Wason, Fenglian Xu, Andy J. Keane, Simon J. Cox: Implementation of a Grid-Enabled Problem Solving Environment in Matlab. International Conference on Computational Science 2003: 420-429
2002
14EEAnthony J. G. Hey, Juri Papay, Andy J. Keane, Simon J. Cox: Component Based Problem Solving Environment. Euro-Par 2002: 105-112
13EELiming Chen, Simon J. Cox, Carole A. Goble, Andy J. Keane, Angus Roberts, Nigel R. Shadbolt, Paul R. Smart, Feng Tao: Engineering Knowledge for Engineering Grid Applications. EuroWeb 2002
12EESimon J. Cox, Richard P. Boardman, Liming Chen, Mihai Duta, M. Hakki Eres, Matt J. Fairman, Zhuoan Jiao, Michael Giles, Carole A. Goble, Graeme E. Pound, Andy J. Keane, Mark Scott, Nigel Shadbolt, Barry Tao, Jasmin L. Wason, Gang Xue: Grid Services in Action: Grid Enabled Optimisation and Design Search. HPDC 2002: 413
11EESanghee Kim, Wendy Hall, Andy J. Keane: Natural Language Processing for Expertise Modelling in E-mail Communication. IDEAL 2002: 161-166
10EEA. D. Scurr, Andy J. Keane: The Development of a Grid Based Engineering Design Problem Solving Environment. International Conference on Computational Science (1) 2002: 881-889
9EEArindam Choudhury, Prasanth B. Nair, Andy J. Keane: A Data Parallel Approach for Large-Scale Gaussian Process Modeling. SDM 2002
8EEPrasanth B. Nair, Arindam Choudhury, Andy J. Keane: Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels. Journal of Machine Learning Research 3: 781-801 (2002)
2001
7 Prasanth B. Nair, Arindam Choudhury, Andy J. Keane: Some Greedy Algorithms for Sparse Nonlinear Regression. ICML 2001: 369-376
6EESimon J. Cox, Matt J. Fairman, Gang Xue, Jasmin L. Wason, Andy J. Keane: The GRID: Computational and Data Resource Sharing in Engineering Optimisation and Design Search. ICPP Workshops 2001: 207-212
5EESanghee Kim, Wendy Hall, Andy J. Keane: Using Document Structures for Personal Ontologies and User Modeling. User Modeling 2001: 240-242
1999
4 Mohammed El-Beltagy, Prasanth B. Nair, Andy J. Keane: Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations. GECCO 1999: 196-203
3 Mohammed El-Beltagy, Andy J. Keane: Using Self Organizing Maps and Genetic Algorithms for Model Selection in Multilevel Optimization. IEA/AIE 1999: 137-144
1997
2 Slawomir W. Stepniewski, Andy J. Keane: Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques. Neural Computing and Applications 5(2): 76-98 (1997)
1996
1 Slawomir W. Stepniewski, Andy J. Keane: Topology Design of Feedforward Neural Networks by Genetic Algorithms. PPSN 1996: 771-780

Coauthor Index

1Richard P. Boardman [12]
2Liming Chen [12] [13]
3Arindam Choudhury [7] [8] [9] [24]
4Simon J. Cox [6] [12] [13] [14] [15] [16] [17] [18] [20] [21] [22] [23]
5Mihai Duta [12]
6Mohammed El-Beltagy [3] [4]
7M. Hakki Eres [12] [15] [16] [17] [22] [23]
8Matt J. Fairman [6] [12]
9Michael Giles [12]
10Carole A. Goble [12] [13]
11Wendy Hall [5] [11]
12Anthony J. G. Hey (Tony Hey) [14]
13Zhuoan Jiao [12] [15] [16] [22] [23]
14Sanghee Kim [5] [11]
15Bu-Sung Lee (Francis Bu-Sung Lee) [21]
16Kai Yew Lum [25]
17Prasanth B. Nair [4] [7] [8] [9] [24] [25] [26]
18Hee-Khiang Ng [21]
19Yew-Soon Ong [19] [21] [25]
20Juri Papay [14]
21Graeme E. Pound [12] [15] [16] [17] [23]
22Angus Roberts [13]
23Mark Scott [12]
24A. D. Scurr [10]
25Nigel Shadbolt (Nigel R. Shadbolt) [12] [13]
26Paul R. Smart [13]
27Andras Sobester [26]
28Wenbin Song [17] [18] [20] [21] [22]
29Slawomir W. Stepniewski [1] [2]
30Feng Tao (Barry Tao) [12] [13]
31Jasmin L. Wason [6] [12] [15] [16] [22] [23]
32Fenglian Xu [15] [22] [23]
33Gang Xue [6] [12] [18] [20]
34Zongzhao Zhou [25]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)