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Guo-Zheng Li: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Guo-Zheng Li, Jie Yang, Jun Lu, Wen-Cong Lu, Nian-yi Chen
    On Multivariate Calibration Problems. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:389-394 [Conf]
  2. Tian-Yu Liu, Guo-Zheng Li, Yue Liu, Gengfeng Wu, Wei Wang
    Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:1231-1236 [Conf]
  3. Yue Liu, Yuan Li, Guozheng Li, Bofeng Zhang, Gengfeng Wu
    Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:532-537 [Conf]
  4. Guo-Zheng Li, Tian-Yu Liu, Victor S. Cheng
    Classification of Brain Glioma by Using SVMs Bagging with Feature Selection. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:124-130 [Conf]
  5. Guo-Zheng Li, Tian-Yu Liu
    Feature Selection for Bagging of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:271-277 [Conf]
  6. Guo-Zheng Li, Jie Yang, Guo-Ping Liu, Li Xue
    Feature Selection for Multi-class Problems Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:292-300 [Conf]
  7. Zhenxiao Wang, Jie Yang, Guozheng Li
    An Improved Branch & Bound Algorithm in Feature Selection. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:549-556 [Conf]
  8. Guo-Zheng Li, Jie Yang, Hai-Feng Song, Shang-Sheng Yang, Wen-Cong Lu, Nian-yi Chen
    Semiempirical Quantum Chemical Method and Artificial Neural Networks Applied for lambdamax Computation of Some Azo Dyes. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:6, pp:2047-2050 [Journal]

  9. Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids. [Citation Graph (, )][DBLP]


  10. Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification. [Citation Graph (, )][DBLP]


  11. Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification. [Citation Graph (, )][DBLP]


  12. Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning. [Citation Graph (, )][DBLP]


  13. Support Vector Machines Applied to Research of Ancient Chinese Porcelain: Modeling of Jun Glaze. [Citation Graph (, )][DBLP]


  14. Feature Selection for Co-Training: A QSAR Study. [Citation Graph (, )][DBLP]


  15. Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches. [Citation Graph (, )][DBLP]


  16. A Novel Classifier Based on Enhanced Lipschitz Embedding for Speech Emotion Recognition. [Citation Graph (, )][DBLP]


  17. Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design. [Citation Graph (, )][DBLP]


  18. Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules. [Citation Graph (, )][DBLP]


  19. On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification. [Citation Graph (, )][DBLP]


  20. A Novel Metric for Redundant Gene Elimination Based on Discriminative Contribution. [Citation Graph (, )][DBLP]


  21. Dimension reduction with redundant gene elimination for tumor classification. [Citation Graph (, )][DBLP]


  22. Asymmetric bagging and feature selection for activities prediction of drug molecules. [Citation Graph (, )][DBLP]


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