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Geok See Ng

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2008
30EETuan Zea Tan, Geok See Ng, Chai Quek: A Novel Biologically and Psychologically Inspired Fuzzy Decision Support System: Hierarchical Complementary Learning. IEEE/ACM Trans. Comput. Biology Bioinform. 5(1): 67-79 (2008)
2007
29EETuan Zea Tan, Geok See Ng, Chai Quek: Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset. IJCNN 2007: 2306-2311
28EETuan Zea Tan, Geok See Ng, Chai Quek: Complementary Decision Making System for Aiding Medical Image Diagnosis. IJCNN 2007: 2324-2329
27EEZhe Tang, Meng Joo Er, Geok See Ng: Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network. IJCNN 2007: 2653-2657
26EETuan 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. Expert Syst. Appl. 33(3): 652-666 (2007)
25EEAbdul Wahab, Geok See Ng, A. Jonatan: Integrated Biometric Verification System Using Soft Computing Approach. Neural Processing Letters 25(2): 111-126 (2007)
24EEF. Liu, Geok See Ng, Chai Quek: RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction. Neurocomputing 70(7-9): 1331-1341 (2007)
2006
23EETuan Zea Tan, Geok See Ng, Hiok Chai Quek, Stephen C. L. Koh: Ovarian Cancer Prognosis by Hemostasis and Complementary Learning. ICONIP (3) 2006: 145-154
22EEM. N. Nguyen, Daming Shi, Chai Quek, Geok See Ng: Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller. ICPR (3) 2006: 258-261
21EETuan Zea Tan, Chai Quek, Geok See Ng: Chance Discovery using Complementary Learning Fuzzy Neural Network. Chance Discoveries in Real World Decision Making 2006: 117-134
20EEGeok See Ng, Sevki S. Erdogan, Daming Shi, Abdul Wahab: Insight of Fuzzy Neural Systems in the Application of Handwritten Digits Classification. Int. J. Image Graphics 6(4): 511-532 (2006)
19EEDaming Shi, Fei Chen, Geok See Ng, Junbin Gao: The construction of wavelet network for speech signal processing. Neural Computing and Applications 15(3-4): 217-222 (2006)
2005
18EETuan Zea Tan, Chai Quek, Geok See Ng: Brain-inspired genetic complementary learning for stock market prediction. Congress on Evolutionary Computation 2005: 2653-2660
17EEA. M. Tang, Hiok Chai Quek, Geok See Ng: GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms. Expert Syst. Appl. 29(4): 769-781 (2005)
16EETuan Zea Tan, Hiok Chai Quek, Geok See Ng: Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures. Neural Networks 18(5-6): 818-825 (2005)
15EEAbdul Wahab, Geok See Ng, Romy Dickiyanto: Speaker authentication system using soft computing approaches. Neurocomputing 68: 13-37 (2005)
2004
14EEFei Chen, Daming Shi, Geok See Ng: Wavelet Network with OLS Optimization for Speech Signal Processing. Canadian Conference on AI 2004: 406-415
13EEGeok See Ng, Xifeng Tong, Xianglong Tang, Daming Shi: Adjacent Orientation Vector Based Fingerprint Minutiae Matching System. ICPR (1) 2004: 528-531
12EEDaming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362
11EEGeok See Ng, T. Murali, Daming Shi, Abdul Wahab: Application of EFUNN for the Classification of Handwritten Digits. Int. J. Comput. Syst. Signal 5(2): 27-35 (2004)
10EEDi Wang, Chai Quek, Geok See Ng: Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering. Neural Processing Letters 20(1): 39-51 (2004)
2003
9EEGeok See Ng, Daming Shi, Steve R. Gunn, Robert I. Damper: Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition. ICDAR 2003: 534-
8EEGeok See Ng, Abdul Wahab, Daming Shi: Entropy Learning and Relevance Criteria for Neural Network Pruning. Int. J. Neural Syst. 13(5): 291-305 (2003)
2000
7EEGeok See Ng, Khue Hiang Chan, Sevki S. Erdogan, Harcharan Singh: Neural Network Learning Using Entropy Cycle. Knowl. Inf. Syst. 2(1): 53-72 (2000)
1998
6EEGeok See Ng, Harcharan Singh: Democracy in pattern classifications: combinations of votes from various pattern classifiers. AI in Engineering 12(3): 189-204 (1998)
5 Geok See Ng, Hak Chuah Sim: Recognition of Partially Occluded Objects with Back-Propagation Neural Network. IJPRAI 12(4): 645-660 (1998)
4EEGeok See Ng, Harcharan Singh: Data equalisation with evidence combination for pattern recognition. Pattern Recognition Letters 19(3-4): 227-235 (1998)
1997
3EEP. C. K. Hiang, Sevki S. Erdogan, Geok See Ng: Hidden node activation differential-a new neural network relevancy criteria. KES (1) 1997: 274-281
1995
2EEGeok See Ng, Sevki S. Erdogan, Ng Pan Wei: Contender's network, a new competitive-learning scheme . Pattern Recognition Letters 16(11): 1111-1118 (1995)
1EERuowei Zhou, Hiok Chai Quek, Geok See Ng: A novel single-pass thinning algorithm and an effective set of performance criteria. Pattern Recognition Letters 16(12): 1267-1275 (1995)

Coauthor Index

1Khue Hiang Chan [7]
2Fei Chen [14] [19]
3Robert I. Damper [9]
4Romy Dickiyanto [15]
5Meng Joo Er [27]
6Sevki S. Erdogan [2] [3] [7] [20]
7Junbin Gao [12] [19]
8Steve R. Gunn [9]
9P. C. K. Hiang [3]
10A. Jonatan [25]
11Stephen C. L. Koh [23]
12F. Liu [24]
13T. Murali [11]
14E. Y. K. Ng [26]
15M. N. Nguyen [22]
16Hiok Chai Quek (Chai Quek) [1] [10] [16] [17] [18] [21] [22] [23] [24] [26] [28] [29] [30]
17Daming Shi [8] [9] [11] [12] [13] [14] [19] [20] [22]
18Hak Chuah Sim [5]
19Harcharan Singh [4] [6] [7]
20Tuan Zea Tan [16] [18] [21] [23] [26] [28] [29] [30]
21A. M. Tang [17]
22Xianglong Tang [13]
23Zhe Tang [27]
24Xifeng Tong [13]
25Abdul Wahab [8] [11] [15] [20] [25]
26Di Wang [10]
27Ng Pan Wei [2]
28Daniel S. Yeung [12]
29Ruowei Zhou [1]

Colors in the list of coauthors

Copyright © Wed May 28 02:56:03 2008 by Michael Ley (ley@uni-trier.de)