Guohua Liang

20 papers A* 3A 1Misc 1Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multimodal deep learning approach for predicting traffic accident severity using crash records, road geometry, and textual descriptions.
Comput. Aided Civ. Infrastructure Eng.
Yue Liu, Zhixiang Gao, Hanzhang Ge, Ziyu Chen, Guohua Liang, Yonggang Wang, Yuting Zhang
2025 J jnl
Assessment of cardiac iron deposition and genotypic classification in pediatric beta-thalassemia major: the role of cardiac MRI.
BMC Medical Imaging
Siqi Zhang, Wen Zhao, Longwei Sun, Guohua Liang, Xiaodong Wang, Hongwu Zeng
2019 J jnl
Phenotyping flag leaf nitrogen content in rice using a three-band spectral index.
Comput. Electron. Agric.
Jian-Jun Wang, Zhikang Li, Xiuliang Jin, Guohua Liang, Paul C. Struik, Junfei Gu, Yong Zhou
2014 — —
Ensemble predictions: empirical studies on learners' performance and sample distributions
Guohua Liang
2014 J jnl
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.
Int. J. Mach. Learn. Cybern.
Guohua Liang, Xingquan Zhu, Chengqi Zhang
2013 A* conf
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging.
AAAI
Guohua Liang, Anthony G. Cohn
2013 — conf
An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling.
Australasian Conference on Artificial Intelligence
Guohua Liang
2012 — conf
A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification.
Australasian Conference on Artificial Intelligence
Guohua Liang, Chengqi Zhang
2012 A* conf
An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach.
AAAI
Guohua Liang
2012 A conf
An efficient and simple under-sampling technique for imbalanced time series classification.
CIKM
Guohua Liang, Chengqi Zhang
2011 — conf
An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data.
ADMA (1)
Guohua Liang, Chengqi Zhang
2011 A* conf
An Empirical Study of Bagging Predictors for Different Learning Algorithms.
AAAI
Guohua Liang, Xingquan Zhu, Chengqi Zhang
2011 — conf
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution.
Australasian Conference on Artificial Intelligence
Guohua Liang, Xingquan Zhu, Chengqi Zhang
2011 Misc conf
Empirical Study of Bagging Predictors on Medical Data.
AusDM
Guohua Liang, Chengqi Zhang
2010 — conf
A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making.
FSKD
Guoli Wang, Bin He, Peng Yong, Guohua Liang
2009 — conf
A Fuzzy Compositional Inference Rule for Real-Time Dynamic Operating Reservoir Normal Elevation Based on Forecast 24h Rainfall.
FSKD (3)
Guoli Wang, Guohua Liang, Huicheng Zhou
2009 — conf
A Method of Risky Multi-objective Group Decision-Making.
FSKD (6)
Guoli Wang, Guohua Liang, Shouyu Chen
2009 — conf
A Multi-reservoir Flood Operating System Based on Fuzzy Messages.
FSKD (3)
Guohua Liang, Guoli Wang, Shufeng Xi
2008 — conf
A Learning Process Using SVMs for Multi-agents Decision Classification.
Web Intelligence/IAT Workshops
Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang
2007 — conf
Water Quality Assessment Model Based on Index Subset Weights and Its Application.
FSKD (4)
Huicheng Zhou, Fangjie Cong, Guohua Liang