| Boosting algorithms as gradient descent L Mason, J Baxter, P Bartlett, M Frean Advances in neural information processing systems 12, 1999 | 1720 | 1999 |
| The upstart algorithm: A method for constructing and training feedforward neural networks M Frean Neural computation 2 (2), 198-209, 1990 | 868 | 1990 |
| The shattered gradients problem: If resnets are the answer, then what is the question? D Balduzzi, M Frean, L Leary, JP Lewis, KWD Ma, B McWilliams International conference on machine learning, 342-350, 2017 | 575 | 2017 |
| Dependent gaussian processes P Boyle, M Frean Advances in neural information processing systems 17, 2004 | 415 | 2004 |
| Functional gradient techniques for combining hypotheses L Mason, J Baxter, PL Bartlett, M Frean Advances in Neural Information Processing Systems, 221-246, 1999 | 386 | 1999 |
| Rock–scissors–paper and the survival of the weakest M Frean, ER Abraham Proceedings of the Royal Society of London. Series B: Biological Sciences …, 2001 | 318 | 2001 |
| Scale-free geometry in OO programs A Potanin, J Noble, M Frean, R Biddle Communications of the ACM 48 (5), 99-103, 2005 | 311 | 2005 |
| Understanding the shape of Java software G Baxter, M Frean, J Noble, M Rickerby, H Smith, M Visser, H Melton, ... Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented …, 2006 | 262 | 2006 |
| The prisoner’s dilemma without synchrony MR Frean Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1994 | 168 | 1994 |
| A" thermal" perceptron learning rule M Frean Neural Computation 4 (6), 946-957, 1992 | 141 | 1992 |
| The effect of population structure on the rate of evolution M Frean, PB Rainey, A Traulsen Proceedings of the Royal Society B: Biological Sciences 280 (1762), 20130211, 2013 | 136 | 2013 |
| Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. M Gallagher, MR Frean, T Downs GECCO 99, 840-846, 1999 | 108 | 1999 |
| The evolution of degrees of cooperation M Frean Journal of theoretical biology 182 (4), 549-559, 1996 | 98 | 1996 |
| Using Gaussian processes to optimize expensive functions M Frean, P Boyle Australasian Joint Conference on Artificial Intelligence, 258-267, 2008 | 94 | 2008 |
| A comparison of RGB and HSV colour spaces for visual attention models A Ajmal, C Hollitt, M Frean, H Al-Sahaf 2018 International conference on image and vision computing New Zealand …, 2018 | 72 | 2018 |
| Population-based continuous optimization, probabilistic modelling and mean shift M Gallagher, M Frean Evolutionary Computation 13 (1), 29-42, 2005 | 56 | 2005 |
| Small nets and short paths: Optimising neural computation MR Frean University of Edinburgh, 1990 | 50 | 1990 |
| Multiple output Gaussian process regression P Boyle, M Frean University of Wellington, Tech. Rep, 2005 | 47 | 2005 |
| On the issue of separability for problem decomposition in cooperative neuro-evolution R Chandra, M Frean, M Zhang Neurocomputing 87, 33-40, 2012 | 46 | 2012 |
| The evolution of charismatic cultures J Bulbulia, M Frean Method & Theory in the Study of Religion 22 (4), 254-271, 2010 | 44 | 2010 |
Rohitash ChandraUNSWVerified email at unsw.edu.au
