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Geok See Ng: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fei Chen, Daming Shi, Geok See Ng
    Wavelet Network with OLS Optimization for Speech Signal Processing. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:406-415 [Conf]
  2. Geok See Ng, Daming Shi, Steve R. Gunn, Robert I. Damper
    Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2003, pp:534-0 [Conf]
  3. Tuan Zea Tan, Geok See Ng, Hiok Chai Quek, Stephen C. L. Koh
    Ovarian Cancer Prognosis by Hemostasis and Complementary Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:145-154 [Conf]
  4. Geok See Ng, Xifeng Tong, Xianglong Tang, Daming Shi
    Adjacent Orientation Vector Based Fingerprint Minutiae Matching System. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:528-531 [Conf]
  5. M. N. Nguyen, Daming Shi, Chai Quek, Geok See Ng
    Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:258-261 [Conf]
  6. Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung
    Critical Vector Learning to Construct RBF Classifiers. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:359-362 [Conf]
  7. Geok See Ng, Harcharan Singh
    Democracy in pattern classifications: combinations of votes from various pattern classifiers. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 1998, v:12, n:3, pp:189-204 [Journal]
  8. A. M. Tang, Hiok Chai Quek, Geok See Ng
    GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:29, n:4, pp:769-781 [Journal]
  9. Tuan Zea Tan, Chai Quek, Geok See Ng, E. Y. K. Ng
    A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:3, pp:652-666 [Journal]
  10. Geok See Ng, Sevki S. Erdogan, Daming Shi, Abdul Wahab
    Insight of Fuzzy Neural Systems in the Application of Handwritten Digits Classification. [Citation Graph (0, 0)][DBLP]
    Int. J. Image Graphics, 2006, v:6, n:4, pp:511-532 [Journal]
  11. Geok See Ng, Abdul Wahab, Daming Shi
    Entropy Learning and Relevance Criteria for Neural Network Pruning. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2003, v:13, n:5, pp:291-305 [Journal]
  12. Abdul Wahab, Geok See Ng, Romy Dickiyanto
    Speaker authentication system using soft computing approaches. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:13-37 [Journal]
  13. Geok See Ng, Hak Chuah Sim
    Recognition of Partially Occluded Objects with Back-Propagation Neural Network. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:4, pp:645-660 [Journal]
  14. Geok See Ng, Khue Hiang Chan, Sevki S. Erdogan, Harcharan Singh
    Neural Network Learning Using Entropy Cycle. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2000, v:2, n:1, pp:53-72 [Journal]
  15. Daming Shi, Fei Chen, Geok See Ng, Junbin Gao
    The construction of wavelet network for speech signal processing. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:3-4, pp:217-222 [Journal]
  16. Tuan Zea Tan, Hiok Chai Quek, Geok See Ng
    Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:818-825 [Journal]
  17. Di Wang, Chai Quek, Geok See Ng
    Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:1, pp:39-51 [Journal]
  18. Geok See Ng, Harcharan Singh
    Data equalisation with evidence combination for pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:3-4, pp:227-235 [Journal]
  19. Ruowei Zhou, Hiok Chai Quek, Geok See Ng
    A novel single-pass thinning algorithm and an effective set of performance criteria. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:12, pp:1267-1275 [Journal]
  20. Tuan Zea Tan, Chai Quek, Geok See Ng
    Brain-inspired genetic complementary learning for stock market prediction. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2653-2660 [Conf]
  21. Geok See Ng, T. Murali, Daming Shi, Abdul Wahab
    Application of EFUNN for the Classification of Handwritten Digits. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2004, v:5, n:2, pp:27-35 [Journal]

  22. Fault Tolerant Hardware for High Performance Signal Processing. [Citation Graph (, )][DBLP]

  23. Complementary Decision Making System for Aiding Medical Image Diagnosis. [Citation Graph (, )][DBLP]

  24. Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset. [Citation Graph (, )][DBLP]

  25. Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network. [Citation Graph (, )][DBLP]

  26. Clinical Diagnosis Using Proteomics and Complementary Learning. [Citation Graph (, )][DBLP]

  27. Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System. [Citation Graph (, )][DBLP]

  28. Improving tractability of Clinical Decision Support system. [Citation Graph (, )][DBLP]

  29. Hidden node activation differential-a new neural network relevancy criteria. [Citation Graph (, )][DBLP]

  30. A computational intelligence system based on memory consolidation model. [Citation Graph (, )][DBLP]

  31. A novel hybrid intelligent system: Genetic algorithm and rough set incorporated neural fuzzy inference system. [Citation Graph (, )][DBLP]

  32. Functional Prediction of Snake Neurotoxins. [Citation Graph (, )][DBLP]

  33. A Neuropsychology-inspired Learning System for Human Uncertainty Monitoring. [Citation Graph (, )][DBLP]

  34. Dynamically reconfigurable FPGA for robotics control. [Citation Graph (, )][DBLP]

  35. Classification of handwritten digits using evolving fuzzy neural network. [Citation Graph (, )][DBLP]

  36. Modified discrete clustering technique: a novel approach to represent membership functions of fuzzy sets. [Citation Graph (, )][DBLP]

  37. Ovarian cancer diagnosis with complementary learning fuzzy neural network. [Citation Graph (, )][DBLP]

  38. Biological Brain-Inspired Genetic Complementary Learning for Stock Market and Bank Failure Prediction. [Citation Graph (, )][DBLP]

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