| 2008 |
| 45 | EE | Sevki S. Erdogan,
Ted Shaneyfelt,
Geok See Ng,
Abdul Wahab:
Dynamically reconfigurable FPGA for robotics control.
ICARCV 2008: 2277-2282 |
| 44 | EE | Di Wang,
Geok See Ng,
Chai Quek:
A novel hybrid intelligent system: Genetic algorithm and rough set incorporated neural fuzzy inference system.
IEEE Congress on Evolutionary Computation 2008: 2546-2553 |
| 43 | EE | Tuan Zea Tan,
Geok See Ng,
Chai Quek:
Improving tractability of Clinical Decision Support system.
IJCNN 2008: 1997-2002 |
| 42 | EE | Tuan Zea Tan,
Chai Quek,
Geok See Ng,
Khalil Razvi:
Ovarian cancer diagnosis with complementary learning fuzzy neural network.
Artificial Intelligence in Medicine 43(3): 207-222 (2008) |
| 41 | EE | Geok See Ng,
Chai Quek,
H. Jiang:
FCMAC-EWS: A bank failure early warning system based on a novel localized pattern learning and semantically associative fuzzy neural network.
Expert Syst. Appl. 34(2): 989-1003 (2008) |
| 40 | EE | Tuan 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) |
| 39 | EE | L. Ma,
Abdul Wahab,
Geok See Ng,
Sevki S. Erdogan:
An experimental study of the extended NRBF regression model and its enhancement for classification problem.
Neurocomputing 72(1-3): 458-470 (2008) |
| 2007 |
| 38 | EE | Geok See Ng,
Chai Quek:
A computational intelligence system based on memory consolidation model.
IEEE Congress on Evolutionary Computation 2007: 2630-2635 |
| 37 | EE | Tuan Zea Tan,
Geok See Ng,
Chai Quek:
Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset.
IJCNN 2007: 2306-2311 |
| 36 | EE | Tuan Zea Tan,
Geok See Ng,
Chai Quek:
Complementary Decision Making System for Aiding Medical Image Diagnosis.
IJCNN 2007: 2324-2329 |
| 35 | EE | Zhe Tang,
Meng Joo Er,
Geok See Ng:
Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network.
IJCNN 2007: 2653-2657 |
| 34 | EE | 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.
Expert Syst. Appl. 33(3): 652-666 (2007) |
| 33 | EE | Feng Liu,
Chai Quek,
Geok See Ng:
A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System.
Neural Computation 19(6): 1656-1680 (2007) |
| 32 | EE | Abdul Wahab,
Geok See Ng,
A. Jonatan:
Integrated Biometric Verification System Using Soft Computing Approach.
Neural Processing Letters 25(2): 111-126 (2007) |
| 31 | EE | F. 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 |
| 30 | EE | Seng Hong Seah,
Chee Keong Kwoh,
Vladimir Brusic,
Meena Kishore Sakharkar,
Geok See Ng:
Functional Prediction of Snake Neurotoxins.
ICARCV 2006: 1-4 |
| 29 | EE | Tuan Zea Tan,
Geok See Ng,
Sevki S. Erdogan:
A Neuropsychology-inspired Learning System for Human Uncertainty Monitoring.
ICARCV 2006: 1-8 |
| 28 | EE | Tuan 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 |
| 27 | EE | Minh Nhut Nguyen,
Daming Shi,
Chai Quek,
Geok See Ng:
Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller.
ICPR (3) 2006: 258-261 |
| 26 | EE | Feng Liu,
Geok See Ng,
Chai Quek,
Tsee Foong Loh:
Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System.
IJCNN 2006: 2859-2864 |
| 25 | EE | Tuan Zea Tan,
Chai Quek,
Geok See Ng:
Clinical Diagnosis Using Proteomics and Complementary Learning.
IJCNN 2006: 2865-2872 |
| 24 | EE | Tuan 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 |
| 23 | EE | Geok 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) |
| 22 | EE | Daming 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 |
| 21 | EE | Tuan Zea Tan,
Chai Quek,
Geok See Ng:
Brain-inspired genetic complementary learning for stock market prediction.
Congress on Evolutionary Computation 2005: 2653-2660 |
| 20 | EE | A. 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) |
| 19 | EE | Tuan 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) |
| 18 | EE | Abdul Wahab,
Geok See Ng,
Romy Dickiyanto:
Speaker authentication system using soft computing approaches.
Neurocomputing 68: 13-37 (2005) |
| 2004 |
| 17 | EE | Fei Chen,
Daming Shi,
Geok See Ng:
Wavelet Network with OLS Optimization for Speech Signal Processing.
Canadian Conference on AI 2004: 406-415 |
| 16 | EE | Geok See Ng,
T. Murali,
Abdul Wahab,
N. Sriskanthan:
Classification of handwritten digits using evolving fuzzy neural network.
ICARCV 2004: 1410-1415 |
| 15 | EE | Y. Zheng,
Chai Quek,
Geok See Ng:
Modified discrete clustering technique: a novel approach to represent membership functions of fuzzy sets.
ICARCV 2004: 2023-2028 |
| 14 | EE | Geok See Ng,
Xifeng Tong,
Xianglong Tang,
Daming Shi:
Adjacent Orientation Vector Based Fingerprint Minutiae Matching System.
ICPR (1) 2004: 528-531 |
| 13 | EE | Daming Shi,
Geok See Ng,
Junbin Gao,
Daniel S. Yeung:
Critical Vector Learning to Construct RBF Classifiers.
ICPR (3) 2004: 359-362 |
| 12 | EE | Geok 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) |
| 11 | EE | Di 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 |
| 10 | EE | Geok 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- |
| 9 | EE | Geok See Ng,
Abdul Wahab,
Daming Shi:
Entropy Learning and Relevance Criteria for Neural Network Pruning.
Int. J. Neural Syst. 13(5): 291-305 (2003) |
| 8 | EE | N. Sriskanthan,
Geok See Ng,
Kin Keong Wong,
Keok Kee Lee:
Intelligent Fax Management System.
JIKM 2(3): 279-288 (2003) |
| 2000 |
| 7 | EE | Geok 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 |
| 6 | EE | Geok 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) |
| 4 | EE | Geok See Ng,
Harcharan Singh:
Data equalisation with evidence combination for pattern recognition.
Pattern Recognition Letters 19(3-4): 227-235 (1998) |
| 1997 |
| 3 | EE | P. 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 |
| 2 | EE | Geok See Ng,
Sevki S. Erdogan,
Ng Pan Wei:
Contender's network, a new competitive-learning scheme .
Pattern Recognition Letters 16(11): 1111-1118 (1995) |
| 1 | EE | Ruowei 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) |