Xiao-Lei Xia

13 papers B 2Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies.
J. Biomed. Informatics
Xiao-Lei Xia, Shang-Ming Zhou, Yunguang Liu, Na Lin, Ian M. Overton
2024 — conf
A Recursive Learning Algorithm for the Least Squares SVM.
PRICAI (1)
Xiao-Lei Xia, Mingxing Ouyang
2022 B conf
Enhancing Sparsity of Support Vector Machines by Ridge Regression.
IJCNN
Xiao-Lei Xia, Mingxing Ouyang
2018 J jnl
Training sparse least squares support vector machines by the QR decomposition.
Neural Networks
Xiao-Lei Xia
2013 J jnl
Improving the performance of the BioHEL learning classifier system.
Expert Syst. Appl.
Xiao-Lei Xia, Huanlai Xing
2012 — conf
A novel sparse least-squares support vector machine.
BMEI
Xiao-Lei Xia
2011 J jnl
A hierarchical multiclass support vector machine incorporated with holistic triple learning units.
Soft Comput.
Xiao-Lei Xia, Kang Li, George W. Irwin
2010 — —
Sparse learning for support vector machines with biological applications.
Xiao-Lei Xia
2009 — conf
Tree-Structured Learning of Multi-class SVMs with Triple Learning Units.
ICNC (1)
Xiao-Lei Xia, Kang Li
2009 J jnl
Two-stage gene selection for support vector machine classification of microarray data.
Int. J. Model. Identif. Control.
Xiao-Lei Xia, Kang Li, George W. Irwin
2007 B conf
A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray.
IJCNN
Xiao-Lei Xia, Kang Li
2006 — conf
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.
ICPR (2)
Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok
2005 — conf
Methods of Decreasing the Number of Support Vectors via
ICIC (1)
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang