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Deakin Research

Research Output for Andrew Skabar

Note: The 2012, 2013, 2014 publications have not been audited.

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Publications

2004 School of Information Technology

Skabar, Andrew (2004) Comparison of MLP and Bayesian approaches on mineral prospectivity mapping tasks, in Arabnia, Hamid and Mun, Youngson (eds), IC-AI & MLMTA 2004 : Proceedings of the International Conference on Artificial Intelligence & Proceedings of the International Conference on Machine Learning : Models, Technologies & Applications, pp. 946-952, CSREA Press, Las Vegas, Nev. [E1]
DRO entry for this publication

Skabar, A. (2004) Optimization of MLP parameters on mineral potential mapping tasks, in Rubinov, Alex (eds), ICOTA 2004 : Proceedings of the 6th International Conference on Optimization : Techniques and Applications, ICOTA, Ballarat, Vic. [E1]
DRO entry for this publication

Skabar, Andrew (2004) An objective function based on Bayesian likelihoods of necessity and sufficiency for concept learning in the absence of labeled counter-examples, in Arabnia, Hamid and Mun, Youngson (eds), IC-AI & MLMTA 2004 : Proceedings of the International Conference on Artificial Intelligence & Proceedings of the International Conference on Machine Learning : Models, Technologies & Applications, pp. 634-640, CSREA Press, Las Vegas, Nev. [E1]
DRO entry for this publication

2003 School of Information Technology

Skabar, Andrew (2003) Single-class classification augmented with unlabeled data : a symbolic approach, in Gedeon, Tamás D. and Fung, Lance Chun Che (eds), AI 2003 : advances in artificial intelligence : 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003 : proceedings, pp. 735-746, Springer, Berlin, Germany [E1]
DRO entry for this publication

Skabar, Andrew and Cloete, Ian* (2003) Investigation of the effect of training and prediction window sizes on neural financial prediction models, in Wang, Xizhao (eds), 2003 International Conference on Machine Learning and Cybernetics : proceedings, November 2-5, 2003, Sheraton Hotel, Xi'an, China, pp. 2133-2137, IEEE, Piscataway, N.J. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Predicting the distribution of discrete spatial events using artificial neural networks, in Gedeon, T. and Chun Che Fung, L. (eds), AI 2003 : Advances in Artificial Intelligence : Proceedings of the 16th Australian Conference on AI, pp. 567-577, Springer, Perth, W.A. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Single-class classifier learning using neural networks : an application to the prediction of mineral deposits, in Wang, Xizhao (eds), ICMLC 2003 : Proceedings of the Second International Conference on Machine Learning and Cybernetics, pp. 2127-2132, ICMLC, Xi'an, China [E1]
DRO entry for this publication

Skabar, Andrew (2003) A GA-based neural network weight optimization technique for semi-supervised classifier learning, in Abraham, Ajith; Koppen, Mario and Franke, Katrin (eds), Design and application of hybrid intelligent systems, pp. 139-146, IOS, Washington, D.C. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Mineral potential mapping using feed-forward neural networks, in Wunsch, Donald (eds), Proceeding of the International Joint Conference on Neural Networks 2003, pp. 1814-1819, IEEE, Piscataway, N.J. [E1]
DRO entry for this publication

Grants and Consultancies

No grants and/or consultancies found or audited – the 2014 HERDC financial return has not been completed or loaded as yet.

Higher Degree by Research Completions supervised by Andrew Skabar

No completions found or audited.

Legend:
* Not a member of Deakin University at time of output.

DRO to publications collection last synchronised: Wednesday 22nd October 2014 10:04pm

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23rd July 2011