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Preview	Issue Date	Title	Author(s)
	2017	Predicting the effectiveness of rolling dynamic compaction using genetic programming	Ranasinghe, R.; Jaksa, M.; Nejad, F.; Kuo, Y.
	2009	Using probabilistic methods to measure the risk of geotechnical site investigations	Goldsworthy, J.; Jaksa, M.; Bull, J.
	2011	Prediction of pile behavior using artificial neural networks based on standard penetration test data	Nejad, F.; Jaksa, M.; International Conference of the International Association for Computer Methods and Advances in Geomechanics (13th : 2011 : Melbourne, Australia)
	2011	Phytocapping as a sustainable cover for waste containment systems: experience of the A-ACAP study	Yuen, S.; Salt, M.; Sun, J.; Benaud, P.; Zhu, G.; Jaksa, M.; Ghadiri, H.; Greenway, M.; Ashwath, N.; Fourie, A.; International Waste Management and Landfill Symposium (13th : 2011 : Sardinia, Italy)
	2009	Java applets in geotechnical engineering	Jaksa, M.; Kuo, Y.; Australasian Association for Engineering Education Conference (20th : 2009 : Adelaide, South Australia)
	2002	Artificial neural network-based settlement prediction formula for shallow foundations on granular soils	Shahin, M.; Jaksa, M.; Maier, H.
	2002	Predicting settlement of shallow foundations using neural networks	Shahin, M.; Maier, H.; Jaksa, M.
	2004	Data division for developing neural networks applied to geotechnical engineering	Shahin, M.; Maier, H.; Jaksa, M.
	2012	Mining applications and case studies of rolling dynamic compaction	Scott, B.; Jaksa, M.; Australia - New Zealand Conference on Geomechanics (11th : 2012 : Melbourne, Victoria)
	2003	Reliability analysis of a strip footing designed against settlement	Fenton, G.; Zhou, H.; Jaksa, M.; Griffiths, D.; Kiureghian, A.; Madanat, S.; Pestana, J.; Applications of Statistics and Probability in Civil Engineering (2003 : San Francisco, California)