Full List of Daming Shi's Publications

(A publication is downloadable if there is a hyperlink to "Shi,D." in the corresponding entry)

 

Book

  1. Yeung, D. S., I. Cloete, D. Shi and W. Ng (2009). Sensitivity analysis for neural networks, Springer Verlag, in press.

 

Journal Papers

  1. Shi, D., and M. N. Nguyen (2009). Fuzzy CMAC with Incremental Bayesian Ying Yang Learning and Dynamic Rule Construction, IEEE Transactions on Systems, Man and Cybernetics, in press.
  2. Li, X., D. Shi, V. Charastrakul and J. Zhou (2009). Advanced P-Tree based K-Nearest neighbors for customer preference reasoning analysis, Journal of Intelligent Manufacturing, DOI 10.1007/s10845-008-0146-9.
  3. Nguyen, M. N. and D. Shi (2008). Online Bayesian Ying-Yang Learning for FCMAC, Neurocomputing, 72(1-3): 562-572.
  4. Gao, J.B., D. Shi and X. M. Liu (2007). Significant vector learning to construct sparse kernel regression models, Neural Networks, 20(7):791-798.
  5. Shi, D., C. Quek, R. Tilani and J. Fu (2007). Product Demand Forecasting with a Novel Fuzzy CMAC, Neural Processing Letters, 25(1):63-78.
  6. Nguyen, M. N., D. Shi and C. Quek (2007). A Nature Inspired Ying-Yang Approach for Intelligent Decision Support in Bank Solvency Analysis, Expert Systems with Applications, 34(4):2576-2587.
  7. H. Chen, W. S. Ng, D. Shi and S. B. Wee (2007). Image Registration Based on Virtual Frame Sequence Analysis, International Journal of Computer Assisted Radiology and Surgery, 2(2):127-133.
  8. Liu, H., B. Hong, D. Shi and G.S. Ng, On partially observable Markov decision processes using genetic algorithm based Q-learning, DCDIS A Supplement, Advances in Neural Networks, Watam Press, 14(S1): 248-252, 2007.
  9. Nguyen, M. N., D. Shi and C. Quek (2006). FCMAC-BYY: Fuzzy CMAC using Bayesian Ying-Yang learning, IEEE Transactions on Systems, Man and Cybernetics, Part B, 36(5):1180-1190.
  10. Shi, D., F. Chen, G.S. Ng and J. Gao (2006). The construction of wavelet network for speech signal processing, Neural Computing and Applications, 15:217-222.
  11. Ng, G. S., S. Erdogan and D. Shi (2006). Insight of fuzzy neural systems in the application of handwritten digits classification, International Journal of Image and Graphics, 6(4):1-21.
  12. Shi, D., D. S. Yeung, J. Gao (2005).  Sensitivity analysis applied to the construction of radial basis function network, Neural Networks, 18(7):951-957.
  13. Tong, X., J. Huang, X. Tang and D. Shi  (2005). Fingerprint minutia matching using the adjacent feature vector, Pattern Recognition Letters, 26(9):1337-1345.
  14. Liew, C. V.,  J. L. P. Soh,  F. Chen, D. Shi and P. W. S. Heng (2005), Application of multidimensional scaling to preformulation sciences:A discriminatory tool to group microcrystalline celluloses, Chemical & Pharmaceutical Bulletin, 53(10):1227—1231.
  15. Xu, R., D. S. Yeung and D. Shi (2005), A hybrid post-processing system for offline handwritten Chinese character recognition based on a statistical language model, International Journal of Pattern Recognition and Artificial Intelligence, 19(3): 415-428.
  16. Shi, D., G. S. Ng, R. I. Damper and S. R. Gunn (2005),  Radical recognition of handwritten Chinese characters using GA-based kernel active shape modelling, IEE Proceedings of Vision, Image and Signal Processing, 152(5):634-638.
  17. Sun, G., J. Liu, X. Tang, D. Shi and W. Zhao (2005), Active discriminant function for handwriting recognition, Journal of Software, 16(4):523-532.
  18. Ng, G.S.,  D. Shi and W.Abdul (2005). Application of EFuNN for the classification of handwritten digits, International Journal of Computers, Systems and Signals, 2005.
  19. Soh, L. P.,  F. Chen, C. V. Liew, D. D. Shi and P. W. S. Heng (2004). A novel pre-formulation tool to group microcrystalline celluloses using artificial neural network and data clustering, Pharmaceutical Research, 21(12):2360-2368.
  20. Shi, D., S. R. Gunn and R. I. Damper, (2003). Handwritten Chinese radical recognition using nonlinear active shape models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2):277-280.  
  21. Shi, D., R. I. Damper and S. R. Gunn, (2003a).  Off-line handwritten Chinese character recognition by radical decomposition,  ACM Transactions on Asian Language Information Processing, 2(1):27-48.
  22. Ng, G.S., W.Abdul and D. Shi, (2003).  Entropy learning and relevance criteria for neural network pruning, International Journal of Neural Systems, 13(5):291-305.
  23. Ng, G.S., D. Shi, W.Abdul and Harcharan Singh, (2003).  Entropy learning in neural network, ASEAN Journal on Science and Technology for Development, 20(3):307-322.
  24. Shi, D., R. I. Damper, S. R. Gunn, (2003b). An approach to off-line handwritten Chinese character recognition based on hierarchical radical decomposition, Journal of Quantitative Linguistics, 10(1):41-70.
  25. Shi, D., S. R. Gunn and R. I. Damper, (2002). Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm, Pattern Recognition Letters, 23(14): 1853-1862.
  26. Shi, D., S. R. Gunn , R. I. Damper and W. Shu, (2000). Recognition rule acquisition by an advanced extension matrix algorithm.  Engineering Intelligent Systems for Electrical Engineering and Communications, 8(2): 97-101.
  27. Shi, D. M., C. Dong, and D. S. Yeung, (1999). Neocognitron's parameter tuning by genetic algorithms, International Journal of Neural Systems, 9(6): 497-509.

 

Conference Papers

  1. Li, X., K. Choo, D.M. Shi, J.H. Zhou, S.J. Phua, B.S. Lim, L.Q. Zhuang, (2009). Fuzzy Self-Organizing Maps for Detection of Partial Discharge Signals, IEEE/ASME Conference on Advanced Intelligent Mechatronics, Singapore.
  2. Shi, D., M. Tsui and J. Liu (2008), Web Document Categorization by Support Vector Clustering, In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Singapore.
  3. Liu, J., D. Shi and M. Leung (2008), Indoor Navigation System Based on Omni-directional Corridor Guidelines, In: Proceedings of IEEE International Conference on Machine Learning and Cybernetics, Kunming.
  4. K. S. Lum, M. N. Nguyen and D. Shi (2007). GA Based FCMAC-BYY Model for Bank Solvency Analysis. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore.
  5. V. Spinko, D. Shi and W. S. Ng (2007). An Image-guided Sinus Surgery System. In: Proceedings of International Conference on Machine Learning and Cybernetics, Hong Kong.
  6. M. H. Tsui, B. P. C. Lim and D. Sh (2007). Web Search Result Refinement by Document Clustering. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada.
  7. B. Lim, X. Li, J. B. Zhang and D. Shi (2007). Tool Feature Discretization by Support Vector Clustering. In: Proceedings of The 10th Joint Conference on Information Sciences, Salt Lake City, USA.
  8. X. Li, D. Shi, B. Song and W. K. Ng (2007). Customer Preference Reasoning Analysis Through Text Categorization, In: Proceedings of The 16th Interneational Conference on Engineering Design, Paris, France.
  9. Nguyen, M. N., J. Guo and D. Shi (2006). ESOFCMAC: Evolving Self-Organizing Fuzzy Cerebellar Model Articulation Controller. In: Proceedings of International Joint Conference on Neural Networks (IJCNN), Vancouver.
  10. Nguyen, M. N., D. Shi, C. Quek, and G.S. Ng (2006). Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller. In: Proceedings of International Conference on Pattern Recognition (ICPR), Hong Kong.
  11. Nguyen, M. N., U. Omkar, D. Shi and J.B. Hayfron-Acquah (2006). Stock Market Price Prediction using Cyclic Self-Organizing Hierarchical CMAC, In: Proceedings of The 9th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore.
  12. Lim, B. P.C., M. H. Tsui, V. Charastrakul, D. Shi (2006).Web Search with Text Categorization Using Probabilistic Framework of SVM. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC), Taipei.
  13. Mohan, P., W.S. Ng and D Shi (2006). Ground Truth Estimation using Multimodal Data Fusion: Proposed Methodo, In: Proceedings of The International Conference on Biomedical and Pharmaceutical Engineering (ICBPE), Singapore.
  14. Spinko, V., D. Shi, W. S. Ng and J. Leong (2006). Gabor neural network for endoscopic image registration, Lecture Notes in Computer Science, 3972:480-485, Chengdu.
  15. Spinko, V., D. Shi and W. S. Ng (2006). Endoscope Tracking Using Wavelet-Gravitation Network Incorporated with Kalman Filter. In: Proceedings of International Conference on Tools with Artificial Intelligence (ICTAI), pp. 705-712, Washington DC, USA.
  16. Gao, J. and D. Shi, (2005). Sparse kernel regression modelling based on L1 significant vector learning, Proceedings of the second International Conference on Neural Networks and Brain (ICNN&B'05), pp.1925-1930,Beijing.
  17. G. Yang, D. Shi and C. Quek (2005), Fingerprint minutia extraction with fuzzy neural network, Lecture Notes in Computer Science, 3497:165-170.
  18. Chen, F., V. Spinko and D. Shi (2005). Real-time lip synchronization using wavelet network, In: Proceedings of CyberWorlds, Singapore, 2005.
  19. M. N. Nguyen, D. Shi and C. Quek (2005), Self-organizing Gaussian fuzzy CMAC with truth value restriction, In: Proceedings of IEEE International Conference of Information Technology and Applications (ICITA), Sydney, Australia.
  20. Spinko, V., D. Shi and  W. S. Ng (2005). Arthoscope tracking in knee ligaments surgery, SGH Orthopaedic Workshop, Singapore.
  21. Chen, H., W. Shao, W. S. Ng, D. Shi and S. B. Wee (2005). Tumour margin segmentation and tracking in ultrasound images using registration approach, In: Proceedings of International Conference on Biomedical Engineering, Singapore.
  22. Chen, H., F. Shao, W. S. Ng and D. Shi (2005).  An initial statistical approach to deformation modeling for soft tissue modeling, In: Proceedings of the Conference on Intelligent Robots and Systems, pp. 1278-1283, Las Vegas, USA.
  23. Ng, G. S., X. Tong, X. Tang, D. Shi (2004), Adjacent orientation vector based fingerprint minutiae matching system, International Conference on Pattern Recognition (ICPR), Vol 1,  pp. 528-531, Cambridge, United Kingdom.
  24. Shi, D., A. Harkisanka and  H. C. Quek (2004). CMAC with fuzzy logic reasoning, In: Proceedings of International Conference of Neural Information Processing (ICONIP2004), Calcutta, India.
  25. Shi, D., G. S. Ng, J. Gao and D. S. Yeung (2004), Critical vector learning to construct RBF classifiers, In: Proceedings of International Conference on Pattern Recognition (ICPR), Vol 1,  pp. 528-531, Cambridge, United Kingdom.
  26. Shi, D., W. S. Ng, K. V. Ling, W. Shao, H. Chen, C.K.Kwoh (2004). Augmented reality assisted sinus surgery, In: 1st International Bioengineering Conference, Singapore.
  27. Tilani, R., D. Shi, X. Li and A. Harkisanka (2004), Product demand forecasting with fuzzy cerebellar model articulation controller, In: Proceedings of 24th International Symposium on Forecasting (ISF2004), Sydney, Australia.
  28. Chen, F., D. Shi, G. S. Ng (2004), Wavelet network with OLS optimization for speech signal processing, Lecture Notes on Computer Science, 3060:406-415.
  29. Shi, D., J. Gao, D. S. Yeung and F. Chen (2004), Radial basis function network pruning by sensitivity analysis, Lecture Notes on Computer Science, 3060:380-390.
  30. Gao, J., L. Zhang and D. Shi (2004). Critical vector learning to construct sparse kernel,, In Proceedings of IEEE International Conference on Machine Learning and Cybernetics (ICMLC2004), Shanghai, China.
  31. Shi, D., J. Gao and R. Tilani (2004).  Univariate time series forecasting with fuzzy CMAC, In Proceedings of IEEE International Conference on Machine Learning and Cybernetics (ICMLC2004), Shanghai, China.
  32. Gao, J., F. Chen and D. Shi (2004). On the construction of support wavelet network, In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics 2004, Hague.
  33. Ding, Z.Q., E.C.Tan, I.V. McLoughlin and D.M.Shi (2003). Evaluation of Mandarin and English speech intelligibility using CDRT and DRT, Oriental COCOSDA 2003.
  34. Shi, D., P. W. S. Heng and F. Chen, (2003).  A pellet sphericity measure system based on dual active contour models, In Proceedings of IEEE International Conference on Machine Learning and Cybernetics, Xian, China.
  35. Shi, D., Y. S. Ong and E. C. Tan, (2003). Kernel active handwriting model and its application, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Washington, DC.
  36. Ng, G. S., D. Shi, S. R. Gunn and R. I. Damper, (2003). Nonlinear active handwriting models and their applications to handwritten Chinese radical recognition.  In: Proceedings of Seventh International Conference on Document Analysis and Recognition (ICDAR’03),  Edinburgh.
  37. Ong, Y.S., K.Y. Lum, P. B. Nair, D. M. Shi and Z.K. Zhang, (2003). Global convergence unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design, In: Proceedings of Congress on Evolutionary Computation CEC2003, Canberra, Australia.
  38. Sun, G.,  X. Tang and  D.Shi (2003). An online incremental learning using bagging-SVMs, In: Proceedings of International Conference on Computer Vision, Pattern Recognition and Image Processing (CVPRIP2003).  
  39. Shi, D., S. R. Gunn and R. I. Damper, (2001). A radical approach to handwritten Chinese character recognition using active handwriting models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'01), pp.670-675, Hawaii.
  40. Shi, D., S. R. Gunn and R. I. Damper, (2001). Active radical modeling for handwritten Chinese characters, In: Proceedings of Sixth International Conference on Document Analysis and Recognition (ICDAR’01), pp. 236-241, Seattle, WA.
  41. Shi, D., S. R. Gunn and R. I. Damper (2001). A comparison among radical approaches to handwritten Chinese character recognition, International Conference on Chinese Computing, pp. 213-219.
  42. Yeung, D. S., W. Shu and D. Shi (2000), GA-embedded neocognitron, In: Proceedings of International Conference on Artificial Intelligence (IC-AI’2000), June 26 - 29, Las Vegas, Nevada, USA.
  43. Shu, J., E. Tsang, D. S. Yeung and D. Shi, Mining Fuzzy Association Rules with Weighted Items, Proceedings of IEEE International Conference. on System, Man and Cybernetics, Nashville, Tennessee.
  44. Shu, W., D. Shi and F. Wang, (2000). An extension matrix approach to Chinese character recognition, In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Nashville, Tennessee.
  45. Tan, C. L., and D. Shi, (1999). News article retrieval from microfilm images, In: Proceedings of Workshop on Text Mining, International Joint Conference on Artificial Intelligence (IJCAI’99), Stockholm.
  46. Shi, D., C. L. Tan and W. Shu, (1999). Recognition rule acquisition by an advanced extension matrix algorithm. In: Proceedings of IEEE International Conference on System, Man and Cybernetics (SMC’99), Tokoyo.
  47. Shi, D., H. Liu and W. Shu, (1998). Feature selection for handwritten Chinese character recognition based on genetic algorithms, Proceedings of . IEEE International Conference on Systems, Man and Cybernetics (SMC’98), San Diego, pp.4201-4206.

 

Publications in Chinese

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