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Guohua Liang
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2010 – 2019
- 2019
- [j2]Jian-Jun Wang, Zhikang Li, Xiuliang Jin, Guohua Liang, Paul C. Struik, Junfei Gu, Yong Zhou:
Phenotyping flag leaf nitrogen content in rice using a three-band spectral index. Comput. Electron. Agric. 162: 475-481 (2019) - 2014
- [b1]Guohua Liang:
Ensemble predictions: empirical studies on learners' performance and sample distributions. University of Technology Sydney, Australia, 2014 - [j1]Guohua Liang, Xingquan Zhu, Chengqi Zhang:
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study. Int. J. Mach. Learn. Cybern. 5(1): 63-71 (2014) - 2013
- [c15]Guohua Liang, Anthony G. Cohn:
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging. AAAI 2013: 1633-1634 - [c14]Guohua Liang:
An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling. Australasian Conference on Artificial Intelligence 2013: 374-385 - 2012
- [c13]Guohua Liang:
An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach. AAAI 2012: 2439-2440 - [c12]Guohua Liang, Chengqi Zhang:
A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification. Australasian Conference on Artificial Intelligence 2012: 637-648 - [c11]Guohua Liang, Chengqi Zhang:
An efficient and simple under-sampling technique for imbalanced time series classification. CIKM 2012: 2339-2342 - 2011
- [c10]Guohua Liang, Xingquan Zhu, Chengqi Zhang:
An Empirical Study of Bagging Predictors for Different Learning Algorithms. AAAI 2011: 1802-1803 - [c9]Guohua Liang, Chengqi Zhang:
An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. ADMA (1) 2011: 339-352 - [c8]Guohua Liang, Xingquan Zhu, Chengqi Zhang:
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. Australasian Conference on Artificial Intelligence 2011: 213-222 - [c7]Guohua Liang, Chengqi Zhang:
Empirical Study of Bagging Predictors on Medical Data. AusDM 2011: 31-40 - 2010
- [c6]Guoli Wang, Bin He, Peng Yong, Guohua Liang:
A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making. FSKD 2010: 37-40
2000 – 2009
- 2009
- [c5]Guohua Liang, Guoli Wang, Shufeng Xi:
A Multi-reservoir Flood Operating System Based on Fuzzy Messages. FSKD (3) 2009: 22-28 - [c4]Guoli Wang, Guohua Liang, Shouyu Chen:
A Method of Risky Multi-objective Group Decision-Making. FSKD (6) 2009: 45-51 - [c3]Guoli Wang, Guohua Liang, Huicheng Zhou:
A Fuzzy Compositional Inference Rule for Real-Time Dynamic Operating Reservoir Normal Elevation Based on Forecast 24h Rainfall. FSKD (3) 2009: 187-192 - 2008
- [c2]Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang:
A Learning Process Using SVMs for Multi-agents Decision Classification. Web Intelligence/IAT Workshops 2008: 583-586 - 2007
- [c1]Huicheng Zhou, Fangjie Cong, Guohua Liang:
Water Quality Assessment Model Based on Index Subset Weights and Its Application. FSKD (4) 2007: 539-543
Coauthor Index
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