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ORCIDAndy J. Keane
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2020 – today
- 2024
[j18]Gerico Vidanes
, David Toal, Xu Zhang, Andy J. Keane, Jon Gregory, Marco Nunez:
Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD. Comput. Aided Des. 166: 103629 (2024)- [c24]Tom Bamford, David Toal, Andy J. Keane:
AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries. ECML/PKDD (9) 2024: 452-467 - 2022
- [j17]Hono Salval, Andy J. Keane, David Toal:
Multiresolution surface blending for detail reconstruction. Graph. Vis. Comput. 6: 200043 (2022) - 2020
- [j16]Andy J. Keane, Ivan Voutchkov:
Robust design optimization using surrogate models. J. Comput. Des. Eng. 7(1): 44-55 (2020) - [j15]Jolan Wauters, Andy J. Keane, Joris Degroote:
Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization. J. Glob. Optim. 78(1): 137-160 (2020)
2010 – 2019
- 2018
- [j14]Ivan Voutchkov, Andy J. Keane, Shahrokh Shahpar, Ron Bates:
(Re-) Meshing using interpolative mapping and control point optimization. J. Comput. Des. Eng. 5(3): 305-318 (2018) - 2015
- [c23]Andy J. Keane:
Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance. LION 2015: 104-118 - 2012
- [j13]James M. Parr, Alexander I. J. Forrester, Andy J. Keane, Carren M. E. Holden:
Enhancing infill sampling criteria for surrogate-based constrained optimization. J. Comput. Methods Sci. Eng. 12(1-2): 25-45 (2012) - 2011
- [c22]David J. J. Toal, Andy J. Keane:
Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems. LION 2011: 446-449 - 2010
- [c21]Asha Viswanath, Alexander I. J. Forrester, Andy J. Keane:
Generative Topographic Mapping for Dimension Reduction in Engineering Design. LION 2010: 204-207 - [c20]Andrew R. Price, Andy J. Keane, Carren M. E. Holden:
On the Coordination of Multidisciplinary Design Optimization Using Expert Systems. LION 2010: 212-215
2000 – 2009
- 2008
- [b1]Alexander I. J. Forrester, Andras Sobester, Andy J. Keane:
Engineering Design via Surrogate Modelling - A Practical Guide. Wiley 2008, ISBN 978-0-470-06068-1, pp. I-XVIII, 1-210 - [j12]Andras Sobester, Prasanth B. Nair, Andy J. Keane:
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations. IEEE Trans. Evol. Comput. 12(4): 469-478 (2008) - 2007
- [j11]Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum:
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Part C 37(1): 66-76 (2007) - 2006
- [j10]Arindam Choudhury, Prasanth B. Nair, Andy J. Keane:
Constructing a speculative kernel machine for pattern classification. Neural Networks 19(1): 84-89 (2006) - 2005
- [j9]Murat 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 Gener. Comput. Syst. 21(6): 920-929 (2005) - [j8]Andras Sobester, Stephen J. Leary, Andy J. Keane:
On the Design of Optimization Strategies Based on Global Response Surface Approximation Models. J. Glob. Optim. 33(1): 31-59 (2005) - 2004
- [j7]Gang 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) - [j6]David Paul Dupplaw, David Brunson, Anna-Jane E. Vine, Colin P. Please, Susan M. Lewis, Angela M. Dean, Andy J. Keane, Marcus J. Tindall:
A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development. J. Comput. Inf. Sci. Eng. 4(3): 218-225 (2004) - [j5]Stephen J. Leary, Atul Bhaskar, Andy J. Keane:
A Derivative Based Surrogate Model for Approximating and Optimizing the Output of an Expensive Computer Simulation. J. Glob. Optim. 30(1): 39-58 (2004) - [j4]Yew-Soon Ong, Andy J. Keane:
Meta-Lamarckian learning in memetic algorithms. IEEE Trans. Evol. Comput. 8(2): 99-110 (2004) - [c19]Gang Xue, Wenbin Song, Andy J. Keane, Simon J. Cox:
Developing Services for Design Optimisation on the Grid. IEEE SCC 2004: 391-398 - [c18]Zhuoan Jiao, Jasmin L. Wason, Wenbin Song, Fenglian Xu, Murat Hakki Eres, Andy J. Keane, Simon J. Cox:
Databases, Workflows and the Grid in a Service Oriented Environment. Euro-Par 2004: 972-979 - [c17]Wenbin 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 - 2003
- [j3]Stephen J. Leary, Atul Bhaskar, Andy J. Keane:
A Knowledge-Based Approach To Response Surface Modelling in Multifidelity Optimization. J. Glob. Optim. 26(3): 297-319 (2003) - [c16]Wenbin Song, Andy J. Keane, Murat Hakki Eres, Graeme E. Pound, Simon J. Cox:
Two Dimensional Airfoil Optimisation Using CFD in a Grid Computing Environment. Euro-Par 2003: 525-532 - [c15]Murat 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 - [c14]Graeme E. Pound, Murat 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 - 2002
- [j2]Prasanth B. Nair, Arindam Choudhury, Andy J. Keane:
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels. J. Mach. Learn. Res. 3: 781-801 (2002) - [c13]Anthony J. G. Hey, Juri Papay, Andy J. Keane, Simon J. Cox:
Component Based Problem Solving Environment. Euro-Par 2002: 105-112 - [c12]Liming 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 - [c11]Simon J. Cox, Richard P. Boardman, Liming Chen, Mihai C. Duta, Murat Hakki Eres, Matt J. Fairman, Zhuoan Jiao, Michael B. 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 - [c10]A. 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 - [c9]Sanghee Kim, Wendy Hall, Andy J. Keane:
Natural Language Processing for Expertise Modelling in E-mail Communication. IDEAL 2002: 161-166 - [c8]Arindam Choudhury, Prasanth B. Nair, Andy J. Keane:
A Data Parallel Approach for Large-Scale Gaussian Process Modeling. SDM 2002: 95-111 - 2001
- [c7]Prasanth B. Nair, Arindam Choudhury, Andy J. Keane:
Some Greedy Algorithms for Sparse Nonlinear Regression. ICML 2001: 369-376 - [c6]Simon 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 - [c5]Sanghee Kim, Wendy Hall, Andy J. Keane:
Using Document Structures for Personal Ontologies and User Modeling. User Modeling 2001: 240-242
1990 – 1999
- 1999
- [c4]Mohammed A. El-Beltagy, Andy J. Keane:
Topographical mapping assisted evolutionary search for multilevel optimization. CEC 1999: 660-665 - [c3]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 - [c2]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
- [j1]Slawomir W. Stepniewski, Andy J. Keane:
Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques. Neural Comput. Appl. 5(2): 76-98 (1997) - 1996
- [c1]Slawomir W. Stepniewski, Andy J. Keane:
Topology Design of Feedforward Neural Networks by Genetic Algorithms. PPSN 1996: 771-780
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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