| 2007 |
|---|
| 17 | EE | Simon Connelly,
Peter A. Lindsay,
Marcus Gallagher:
An agent based approach to examining shared situation awareness.
ICECCS 2007: 138-147 |
| 16 | EE | Bo Yuan,
Marcus Gallagher:
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.
Parameter Setting in Evolutionary Algorithms 2007: 121-142 |
| 2006 |
|---|
| 15 | EE | Marcus Gallagher,
Bo Yuan:
A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA.
Theory of Evolutionary Algorithms 2006 |
| 14 | EE | Marcus Gallagher,
Bo Yuan:
A general-purpose tunable landscape generator.
IEEE Trans. Evolutionary Computation 10(5): 590-603 (2006) |
| 2005 |
|---|
| 13 | | Marcus Gallagher,
James M. Hogan,
Frédéric Maire:
Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings
Springer 2005 |
| 12 | EE | Bo Yuan,
Marcus Gallagher:
A hybrid approach to parameter tuning in genetic algorithms.
Congress on Evolutionary Computation 2005: 1096-1103 |
| 11 | EE | Bo Yuan,
Marcus Gallagher:
Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA.
Congress on Evolutionary Computation 2005: 1792-1799 |
| 10 | EE | Bo Yuan,
Marcus Gallagher,
Stuart Crozier:
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies.
GECCO 2005: 2141-2148 |
| 9 | EE | Bo Yuan,
Marcus Gallagher:
On the importance of diversity maintenance in estimation of distribution algorithms.
GECCO 2005: 719-726 |
| 8 | EE | Flora Yu-Hui Yeh,
Marcus Gallagher:
An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.
IDEAL 2005: 220-227 |
| 7 | EE | Marcus Gallagher,
Marcus R. Frean:
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift.
Evolutionary Computation 13(1): 29-42 (2005) |
| 2004 |
|---|
| 6 | EE | David Rohde,
Michael Drinkwater,
Marcus Gallagher,
Tom Downs,
Marianne Doyle:
Machine Learning for Matching Astronomy Catalogues.
IDEAL 2004: 702-707 |
| 5 | EE | Bo Yuan,
Marcus Gallagher:
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms.
PPSN 2004: 172-181 |
| 2003 |
|---|
| 4 | | Marcus Gallagher,
Tom Downs:
Visualization of learning in multilayer perceptron networks using principal component analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(1): 28-34 (2003) |
| 2002 |
|---|
| 3 | | Marcus Gallagher,
Tom Downs,
Ian Wood:
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces.
Neural Processing Letters 16(2): 177-186 (2002) |
| 2001 |
|---|
| 2 | EE | Marcus Gallagher:
Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem.
ECML 2001: 157-166 |
| 1999 |
|---|
| 1 | | Marcus Gallagher,
Marcus R. Frean,
Tom Downs:
Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator.
GECCO 1999: 840-846 |
