Maxi-Min Margin Machine : Learning Large Margin Classifiers Locally and GloballyKAIZHU HUANG; HAIQIN YANG; KING, Irwin et al.IEEE transactions on neural networks. 2008, Vol 19, Num 2, pp 260-272, issn 1045-9227, 13 p.Article

Learning classifiers from imbalanced data based on biased minimax probability machineKAIZHU HUANG; HAIQIN YANG; KING, Irwin et al.IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2004, isbn 0-7695-2158-4, Vol2, 558-563Conference Paper

Efficient Sparse Generalized Multiple Kernel LearningHAIQIN YANG; ZENGLIN XU; JIEPING YE et al.IEEE transactions on neural networks. 2011, Vol 22, Num 3, pp 433-446, issn 1045-9227, 14 p.Article

Support Vector machine Regression for volatile stock market predictionHAIQIN YANG; LAIWAN CHAN; KING, Irwin et al.Lecture notes in computer science. 2002, pp 391-396, issn 0302-9743, isbn 3-540-44025-9, 6 p.Conference Paper

Outliers treatment in Support Vector Regression for financial time series predictionHAIQIN YANG; KAIZHU HUANG; LAIWAN CHAN et al.Lecture notes in computer science. 2004, pp 1260-1265, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper