| E-graphsage: A graph neural network based intrusion detection system for iot WW Lo, S Layeghy, M Sarhan, M Gallagher, M Portmann NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022 | 246 | 2022 |
| Multiple community energy storage planning in distribution networks using a cost-benefit analysis J Sardi, N Mithulananthan, M Gallagher, DQ Hung Applied energy 190, 453-463, 2017 | 189 | 2017 |
| A general-purpose tunable landscape generator M Gallagher, B Yuan Evolutionary Computation, IEEE Transactions on 10 (5), 590-603, 2006 | 140 | 2006 |
| Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA B Yuan, M Gallagher Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1792-1799 Vol. 2, 2005 | 118 | 2005 |
| Learning to play Pac-Man: An evolutionary, rule-based approach M Gallagher, A Ryan Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 4, 2462-2469 Vol. 4, 2003 | 106 | 2003 |
| Feature extraction for machine learning-based intrusion detection in IoT networks M Sarhan, S Layeghy, N Moustafa, M Gallagher, M Portmann Digital Communications and Networks, 2022 | 104 | 2022 |
| Real-valued evolutionary optimization using a flexible probability density estimator M Gallagher, M Frean, T Downs Proceedings of the Genetic and Evolutionary Computation Conference 1, 13-17, 1999 | 104 | 1999 |
| On the importance of diversity maintenance in estimation of distribution algorithms B Yuan, M Gallagher Proceedings of the 2005 conference on Genetic and evolutionary computation …, 2005 | 88 | 2005 |
| Statistical racing techniques for improved empirical evaluation of evolutionary algorithms B Yuan, M Gallagher Parallel Problem Solving from Nature-PPSN VIII, 172-181, 2004 | 84 | 2004 |
| Reinforcement Learning in First Person Shooter Games M McPartland, M Gallagher Computational Intelligence and AI in Games, IEEE Transactions on, 1-1, 2011 | 80 | 2011 |
| Sampling techniques and distance metrics in high dimensional continuous landscape analysis: Limitations and improvements R Morgan, M Gallagher IEEE Transactions on Evolutionary Computation 18 (3), 456-461, 2013 | 69 | 2013 |
| Multi-layer perceptron error surfaces: visualization, structure and modelling M Gallagher University of Queensland, 2000 | 69 | 2000 |
| Under voltage load shedding in power systems with wind turbine-driven doubly fed induction generators A Arief, ZY Dong, MB Nappu, M Gallagher Electric Power Systems Research 96, 91-100, 2013 | 67 | 2013 |
| Combining meta-EAs and racing for difficult EA parameter tuning tasks B Yuan, M Gallagher Parameter setting in evolutionary algorithms, 121-142, 2007 | 62 | 2007 |
| Use of freely available datasets and machine learning methods in predicting deforestation H Mayfield, C Smith, M Gallagher, M Hockings Environmental modelling & software 87, 17-28, 2017 | 60 | 2017 |
| An influence map model for playing Ms. Pac-Man N Wirth, M Gallagher Computational Intelligence and Games, 2008. CIG'08. IEEE Symposium On, 228-233, 2008 | 60 | 2008 |
| Playing in continuous spaces: Some analysis and extension of population-based incremental learning B Yuan, M Gallagher Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 1, 443-450 Vol. 1, 2003 | 60 | 2003 |
| Visualization of learning in multilayer perceptron networks using principal component analysis M Gallagher, T Downs IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 59 | 2003 |
| The turing test track of the 2012 mario ai championship: entries and evaluation N Shaker, J Togelius, GN Yannakakis, L Poovanna, VS Ethiraj, ... 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013 | 56 | 2013 |
| Population-based continuous optimization, probabilistic modelling and mean shift M Gallagher, M Frean Evolutionary Computation 13 (1), 29-42, 2005 | 55 | 2005 |
Bo Yuan（袁博）The University of QueenslandCorreu electrònic verificat a ieee.org