- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| j7 |      | Jianjun Xie, Scott Leishman, Liang Tian, David Lisuk, Seongjoon Koo, Matthias Blume: Feature Engineering in User's Music Preference Prediction. Journal of Machine Learning Research - Proceedings Track 18: 183-197 (2012) |
| 2011 | ||
| c2 | | Liang Tian, Xin-ping Liu, Ji-zhen Liu: Analysis on nonlinearity of load-pressure-water level dynamic model for coordinated control system in thermal power plant. FSKD 2011: 2373-2377 |
| 2010 | ||
| c1 | | Liang Tian, Fai Wong, Sam Chao: An improvement of translation quality with adding key-words in parallel corpus. ICMLC 2010: 1273-1278 |
| i1 | | Liang Tian, Da-Ning Shi: The Nature of Explosive Percolation Phase Transition. CoRR abs/1010.5990 (2010) |
| 2007 | ||
| p1 | | Liang Tian, Afzel Noore: Computational Intelligence Methods in Software Reliability Prediction. Computational Intelligence in Reliability Engineering 2007: 375-398 |
| 2006 | ||
| j6 | | Liang Tian, Afzel Noore: Reply to "Comments on 'Evolutionary neural network modeling for software cumulative failure time prediction' by Liang Tian and Afzel Noore, " by Bev Littlewood[Reliability Engineering and System Safety 87 (2005) 45-51]. Rel. Eng. & Sys. Safety 91(4): 487-491 (2006) |
| 2005 | ||
| j5 | | Liang Tian, Afzel Noore: On-line prediction of software reliability using an evolutionary connectionist model. Journal of Systems and Software 77(2): 173-180 (2005) |
| j4 | | Liang Tian, Afzel Noore: Modeling distributed software defect removal effectiveness in the presence of code churn. Mathematical and Computer Modelling 41(4-5): 379-389 (2005) |
| j3 | | Liang Tian, Afzel Noore: Evolutionary neural network modeling for software cumulative failure time prediction. Rel. Eng. & Sys. Safety 87(1): 45-51 (2005) |
| 2004 | ||
| j2 | | Liang Tian, Afzel Noore: Software Reliability Prediction Using Recurrent Neural Network With Bayesian Regularization. Int. J. Neural Syst. 14(3): 165-174 (2004) |
| j1 | | Liang Tian, Afzel Noore: A novel approach for short-term load forecasting using support vector machines. Int. J. Neural Syst. 14(5): 329-335 (2004) |
| 1 | Matthias Blume | |
| 2 | Sam Chao | |
| 3 | Seongjoon Koo | |
| 4 | Scott Leishman | |
| 5 | David Lisuk | |
| 6 | Ji-zhen Liu | |
| 7 | Xin-ping Liu | |
| 8 | Afzel Noore | |
| 9 | Da-Ning Shi | |
| 10 | Fai Wong | |
| 11 | Jianjun Xie |
Colors in the list of coauthors
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