Guohua Liang

According to our database, Guohua Liang authored at least 18 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Phenotyping flag leaf nitrogen content in rice using a three-band spectral index.

Jian-Jun Wang, Zhikang Li, Xiuliang Jin, Guohua Liang, Paul C. Struik, Junfei Gu, Yong Zhou

Comput. Electron. Agric., 2019

2014

Ensemble predictions: empirical studies on learners' performance and sample distributions

Guohua Liang

PhD thesis, 2014

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.

Guohua Liang, Xingquan Zhu, Chengqi Zhang

Int. J. Mach. Learn. Cybern., 2014

2013

An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling.

Guohua Liang

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging.

Guohua Liang, Anthony G. Cohn

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

An efficient and simple under-sampling technique for imbalanced time series classification.

Guohua Liang, Chengqi Zhang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification.

Guohua Liang, Chengqi Zhang

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach.

Guohua Liang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Empirical Study of Bagging Predictors on Medical Data.

Guohua Liang, Chengqi Zhang

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution.

Guohua Liang, Xingquan Zhu, Chengqi Zhang

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data.

Guohua Liang, Chengqi Zhang

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

An Empirical Study of Bagging Predictors for Different Learning Algorithms.

Guohua Liang, Xingquan Zhu, Chengqi Zhang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making.

Guoli Wang, Bin He, Peng Yong, Guohua Liang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

A Fuzzy Compositional Inference Rule for Real-Time Dynamic Operating Reservoir Normal Elevation Based on Forecast 24h Rainfall.

Guoli Wang, Guohua Liang, Huicheng Zhou

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

A Method of Risky Multi-objective Group Decision-Making.

Guoli Wang, Guohua Liang, Shouyu Chen

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

A Multi-reservoir Flood Operating System Based on Fuzzy Messages.

Guohua Liang, Guoli Wang, Shufeng Xi

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008

A Learning Process Using SVMs for Multi-agents Decision Classification.

Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007

Water Quality Assessment Model Based on Index Subset Weights and Its Application.

Huicheng Zhou, Fangjie Cong, Guohua Liang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007