| 2007 |
|---|
| 10 | EE | Ed Keedwell,
Ajit Narayanan:
Gene finding and rule discovery with a multi-objective neural-genetic hybrid.
GECCO 2007: 428 |
| 2006 |
|---|
| 9 | EE | Yufeng Guo,
Ed Keedwell,
Godfrey A. Walters,
Soon-Thiam Khu:
Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks.
EMO 2006: 546-559 |
| 2005 |
|---|
| 8 | | Thorhildur Juliusdottir,
David Corne,
Ed Keedwell,
Ajit Narayanan:
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets.
CIBCB 2005: 1-8 |
| 7 | EE | A. Krishna,
Ajit Narayanan,
Ed Keedwell:
Neural Networks and Temporal Gene Expression Data.
EvoWorkshops 2005: 64-73 |
| 6 | EE | Ed Keedwell,
Ajit Narayanan:
Discovering Gene Networks with a Neural-Genetic Hybrid.
IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 231-242 (2005) |
| 2004 |
|---|
| 5 | EE | Ed Keedwell,
Soon-Thiam Khu:
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks.
GECCO (2) 2004: 1042-1053 |
| 4 | EE | Ajit Narayanan,
Ed Keedwell,
Jonas Gamalielsson,
S. Tatineni:
Single-layer artificial neural networks for gene expression analysis.
Neurocomputing 61: 217-240 (2004) |
| 2003 |
|---|
| 3 | EE | Ed Keedwell,
Ajit Narayanan:
Genetic Algorithms for Gene Expression Analysis.
EvoWorkshops 2003: 76-86 |
| 2000 |
|---|
| 2 | EE | Ed Keedwell,
Florian Bessler,
Ajit Narayanan,
Dragan A. Savic:
From data mining to rule refining A new tool for post data mining rule optimisation.
ICTAI 2000: 82-85 |
| 1 | EE | Ed Keedwell,
Ajit Narayanan,
Dragan A. Savic:
Creating rules from trained networks using genetic algorithms.
Int. J. Comput. Syst. Signal 1(1): 30-42 (2000) |
