SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence. - Congzhong Cai; Lianyi Han; Zhi Liang Ji; X. Chen; Yuzong Chen 002 (Nucleic Acids Res., 2003)

Assessment of approximate string matching in a biomedical text retrieval problem. - J. F. Wang; Z. R. Li; Congzhong Cai; Yuzong Chen 002 (Comput. Biol. Medicine, 2005)

Prediction of Transmembrane Proteins from Their Primary Sequence by Support Vector Machine Approach. - Congzhong Cai; Qianfei Yuan; Hanguang Xiao; Xinghua Liu; Lianyi Han; Yuzong Chen 002 (ICIC (3), 2006)

A Comparative Study of Feature Extraction and Classification Methods for Military Vehicle Type Recognition Using Acoustic and Seismic Signals. - Hanguang Xiao; Congzhong Cai; Qianfei Yuan; Xinghua Liu; Yufeng Wen (ICIC (1), 2007)

Diagnosis of Breast Tumours and Evaluation of Prognostic Risk by Using Machine Learning Approaches. - Qianfei Yuan; Congzhong Cai; Hanguang Xiao; Xinghua Liu; Yufeng Wen (ICIC (3), 2007)

Prediction of burning rate of HTPB propellant by using support vector regression. - J. L. Tang; Congzhong Cai; S. Zhao; G. L. Wang (NEMS, 2011)

Optimization of process parameters on grain size of Fe3O4 nanoparticles by support vector regression. - G. L. Wang; Congzhong Cai; X. J. Zhu; J. F. Pei; F. Q. Yuan (NEMS, 2011)

Modeling and prediction of the preparation of hydroxyapatite with sol-gel method by using support vector regression. - S. Zhao; Congzhong Cai; X. J. Zhu; G. L. Wang; F. Q. Yuan (NEMS, 2011)

SVR-based analysis on tribological property of ultra high molecular weight polyethylene composites filled with nano-ZnO particles. - X. J. Zhu; Congzhong Cai; J. F. Pei; G. L. Wang; F. Q. Yuan (NEMS, 2011)

Study on preparation of KF/Al2O3 nano-composite catalyst via support vector regression. - X. J. Zhu; Congzhong Cai; J. F. Pei; G. L. Wang; S. Zhao (NEMS, 2011)