Dr. Guohua Liang
Dr. Guohua Liang
Phd, School of Software, Faculty of Engineering & IT, University of Technology, Sydney (UTS)
Verified email at uts.edu.au
TitleCited byYear
An empirical study of bagging predictors for different learning algorithms
G Liang, X Zhu, C Zhang
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
222011
Empirical study of bagging predictors on medical data
G Liang, C Zhang
Proceedings of the Ninth Australasian Data Mining Conference-Volume 121, 31-40, 2011
192011
An efficient and simple under-sampling technique for imbalanced time series classification
G Liang, C Zhang
Proceedings of the 21st ACM international conference on Information and …, 2012
122012
An empirical study of bagging predictors for imbalanced data with different levels of class distribution
G Liang, X Zhu, C Zhang
Australasian Joint Conference on Artificial Intelligence, 213-222, 2011
112011
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study
G Liang, X Zhu, C Zhang
International Journal of Machine Learning and Cybernetics 5 (1), 63-71, 2014
92014
A comparative study of sampling methods and algorithms for imbalanced time series classification
G Liang, C Zhang
Australasian Joint Conference on Artificial Intelligence, 637-648, 2012
82012
An effective approach for imbalanced classification: unevenly balanced bagging
G Liang, AG Cohn
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
72013
An effective method for imbalanced time series classification: hybrid sampling
G Liang
Australasian Joint Conference on Artificial Intelligence, 374-385, 2013
62013
An investigation of sensitivity on bagging predictors: An empirical approach
G Liang
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
62012
An empirical evaluation of bagging with different algorithms on imbalanced data
G Liang, C Zhang
International Conference on Advanced Data Mining and Applications, 339-352, 2011
62011
Applying rough sets in word segmentation disambiguation based on maximum entropy model
姜维, 王晓龙, 关毅, 梁国华
哈尔滨工业大学学报: 英文版 13 (1), 94-98, 2006
62006
Design an applied student model for intelligent tutoring system
Liu, L., Wu, M., Wang, H., Liang, G.
Proceedings of IEEE International Symposium on IT in Medicine and Education …, 2009
52009
Effects of Landscape Tree Species and Their Arrangement on PM2.5 Sedimentation - A Case Study of Beijing, China
Nature Environment and Pollution Technology An International Quarterly …, 2016
2016
Ensemble predictions: empirical studies on learners' performance and sample distributions
G Liang
2014
A Learning Process Using SVMs for Multi-agents Decision Classification
Y Xiao, F Deng, B Liu, S Liu, D Luo, G Liang
2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008
2008
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Articles 1–15