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Hiok Chai Quek

Chai Quek

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2008
85EEWilliam Goh, Michel Pasquier, Chai Quek: Adaptive control of infusion pump for Type-I diabetes control using a self-tuning regulator. ICARCV 2008: 1379-1384
84EEHaoming Huang, Michel Pasquier, Chai Quek: Application of a hierarchical coevolutionary fuzzy system for financial prediction and trading. IEEE Congress on Evolutionary Computation 2008: 1252-1259
83EEDi 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
82EEHanlin Goh, Joo-Hwee Lim, Chai Quek: Learning associations of conjuncted fuzzy sets for data prediction. IJCNN 2008: 1515-1522
81EETuan Zea Tan, Geok See Ng, Chai Quek: Improving tractability of Clinical Decision Support system. IJCNN 2008: 1997-2002
80EELei Zheng, Siu-Yeung Cho, Chai Quek: A memory-based reinforcement learning algorithm for partially observable Markovian decision processes. IJCNN 2008: 800-805
79 Abdul Wahab, Hiok Chai Quek, A. H. Luah: Neuro-Fuzzy ICU Ventilator Patients Modeling. SEDE 2008: 91-96
78EEChai Quek, Michel Pasquier, Neha Kumar: A novel recurrent neural network-based prediction system for option trading and hedging. Appl. Intell. 29(2): 138-151 (2008)
77EETuan 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)
76EEGeok 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)
75EEMinh Nhut Nguyen, Daming Shi, Chai Quek: A nature inspired Ying-Yang approach for intelligent decision support in bank solvency analysis. Expert Syst. Appl. 34(4): 2576-2587 (2008)
74EERichard Jayadi Oentaryo, Michel Pasquier, Chai Quek: GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference. Expert Syst. Appl. 35(4): 1825-1840 (2008)
73EETuan 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
72EEAlvin Cai, Chai Quek, Douglas L. Maskell: Type-2 GA-TSK fuzzy neural network. IEEE Congress on Evolutionary Computation 2007: 1578-1585
71EEErnest Lumanpauw, Michel Pasquier, Chai Quek: MNFS-FPM: A novel memetic neuro-fuzzy system based financial portfolio management. IEEE Congress on Evolutionary Computation 2007: 2554-2561
70EEShuo Yao, Michel Pasquier, Chai Quek: A foreign exchange portfolio management mechanism based on fuzzy neural networks. IEEE Congress on Evolutionary Computation 2007: 2576-2583
69EEGeok See Ng, Chai Quek: A computational intelligence system based on memory consolidation model. IEEE Congress on Evolutionary Computation 2007: 2630-2635
68EEAbdul Wahab, Chai Quek, Sussan De: Speech emotion recognition using auditory cortex. IEEE Congress on Evolutionary Computation 2007: 2658-2664
67EEHaoming Huang, Michel Pasquier, Chai Quek: HiCEFS - A hierarchical coevolutionary approach for the dynamic generation of fuzzy system. IEEE Congress on Evolutionary Computation 2007: 3426-3433
66EETuan Zea Tan, Geok See Ng, Chai Quek: Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset. IJCNN 2007: 2306-2311
65EETuan Zea Tan, Geok See Ng, Chai Quek: Complementary Decision Making System for Aiding Medical Image Diagnosis. IJCNN 2007: 2324-2329
64EETuan 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)
63EEKian Hong Quah, Chai Quek: MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections. IEEE Transactions on Neural Networks 18(2): 431-448 (2007)
62EESintiani Dewi Teddy, Edmund Ming-Kit Lai, Chai Quek: Hierarchically Clustered Adaptive Quantization CMAC and Its Learning Convergence. IEEE Transactions on Neural Networks 18(6): 1658-1682 (2007)
61EEFeng 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)
60EEF. 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
59EEMa Li, Abdul Wahab, Chai Quek: A Modified Generalized RBF Model with EM-based Learning Algorithm for Medical Applications. CBMS 2006: 291-296
58EEAbdul Wahab, Y. K. Kong, Hiok Chai Quek: Model Reference Adaptive Control on Glucose for the Treatment of Diabetes Mellitus. CBMS 2006: 315-320
57 Ma Li, Abdul Wahab, Chai Quek: A Modified Generalized RBF Model with EM-based Learning Algorithm. IC-AI 2006: 262-270
56 Abdul Wahab, Mathias Dharmawirya, Chai Quek: Speaker Verification System based on the Cerebellum Architecture. IC-AI 2006: 271-277
55EETuan 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
54EEMinh Nhut Nguyen, Daming Shi, Chai Quek, Geok See Ng: Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller. ICPR (3) 2006: 258-261
53EEChai Quek, Michel Pasquier, Neha Kumar: A Novel Recurrent Neural Network Based Prediction System for Trading. IJCNN 2006: 2090-2097
52EEFeng Liu, Geok See Ng, Chai Quek, Tsee Foong Loh: Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System. IJCNN 2006: 2859-2864
51EETuan Zea Tan, Chai Quek, Geok See Ng: Clinical Diagnosis Using Proteomics and Complementary Learning. IJCNN 2006: 2865-2872
50EEKai Keng Ang, Chai Quek: Rough set-based neuro-fuzzy system. IJCNN 2006: 742-749
49EEWenbo Zong, Edmund Ming-Kit Lai, Chai Quek: Digital Modulation Classification using Fuzzy Neural Networks. Chance Discoveries in Real World Decision Making 2006: 101-116
48EETuan 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
47EEKian Hong Quah, Hiok Chai Quek: Maximum reward reinforcement learning: A non-cumulative reward criterion. Expert Syst. Appl. 31(2): 351-359 (2006)
46EEChai Quek, Michel Pasquier, Bernard Boon Seng Lim: POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction. IEEE Transactions on Intelligent Transportation Systems 7(2): 133-146 (2006)
45EEKai Keng Ang, Chai Quek: Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach. IEEE Transactions on Neural Networks 17(5): 1301-1315 (2006)
44EEKian Hong Quah, Hiok Chai Quek: FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 36(1): 166-178 (2006)
2005
43 Ma Li, Abdul Wahab, Chai Quek: A New Algorithm for Order-Independent Clustering. CAINE 2005: 344-349
42EEKai Keng Ang, Chai Quek: Stock trading using PSEC and RSPOP: a novel evolving rough set-based neuro-fuzzy approach. Congress on Evolutionary Computation 2005: 1032-1039
41EEAndy Tan, Chai Quek: Maximizing winning trades using a rough set based other-product (RSPOP) fuzzy neural network intelligent stock trading system. Congress on Evolutionary Computation 2005: 2076-2083
40EEWhye Loon Tung, Chai Quek: GenSo-OPATS: a brain-inspired dynamically evolving option pricing model and arbitrage trading system. Congress on Evolutionary Computation 2005: 2429-2436
39EETuan Zea Tan, Chai Quek, Geok See Ng: Brain-inspired genetic complementary learning for stock market prediction. Congress on Evolutionary Computation 2005: 2653-2660
38EEPhilip Cheng, M. I. Mah, Chai Quek: Predicting the impact of anticipatory action on US stock market - an event study using ANFIS (a neural fuzzy model). Congress on Evolutionary Computation 2005: 2669-2676
37 Ghee Ming Goh, Chai Quek: EpiList II: Explicit Instructions for Development of Generic Cognitive Skills. ICCE 2005: 116-123
36EEMinh Nhut Nguyen, Daming Shi, Chai Quek: Self-Organizing Gaussian Fuzzy CMAC with Truth Value Restriction. ICITA (2) 2005: 185-190
35EEGuang Yang, Daming Shi, Chai Quek: Fingerprint Minutia Recognition with Fuzzy Neural Network. ISNN (2) 2005: 165-170
34EEW. L. Tung, Hiok Chai Quek: GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data. Artificial Intelligence in Medicine 33(1): 61-88 (2005)
33EEHiok Chai Quek, A. Singh: POP-Yager: A novel self-organizing fuzzy neural network based on the Yager inference. Expert Syst. Appl. 29(1): 229-242 (2005)
32EEA. 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)
31EEKai Keng Ang, Hiok Chai Quek: RSPOP: Rough Set-Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm. Neural Computation 17(1): 205-243 (2005)
30EETuan 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)
29EEKian Hong Quah, Hiok Chai Quek, Graham Leedham: Reinforcement learning combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification. Pattern Recognition 38(4): 513-526 (2005)
2004
28EEY. Zheng, Chai Quek, Geok See Ng: Modified discrete clustering technique: a novel approach to represent membership functions of fuzzy sets. ICARCV 2004: 2023-2028
27EEDaming Shi, Atul Harkisanka, Hiok Chai Quek: CMAC with Fuzzy Logic Reasoning. ICONIP 2004: 898-903
26EEW. L. Tung, Hiok Chai Quek, P. Cheng: GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures. Neural Networks 17(4): 567-587 (2004)
25EEDi 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
24 Kai Keng Ang, Hiok Chai Quek, Michel Pasquier: POPFNN-CRI(S): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(6): 838-849 (2003)
2002
23EEW. L. Tung, Hiok Chai Quek: DIC: A Novel Discrete Incremental Clustering Technique for the Derivation of Fuzzy Membership Functions. PRICAI 2002: 178-187
22EEW. L. Tung, Hiok Chai Quek: BackPOLE: Back Propagation Based on Objective Learning Errors. PRICAI 2002: 265-274
21EEW. L. Tung, Hiok Chai Quek: FuzzyDrive: A Fuzzy Rule-Based Auto Pilot System. PRICAI 2002: 601
20EEKai Keng Ang, Hiok Chai Quek, Abdul Wahab: MCMAC-CVT: a novel on-line associative memory based CVT transmission control system. Neural Networks 15(1): 219-236 (2002)
19EEHiok Chai Quek, Ruowei Zhou: Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system. Pattern Recognition Letters 23(14): 1795-1816 (2002)
2001
18 Abdul Wahab, Hiok Chai Quek, Eng Chong Tan: Low-Cost Stereo Microphone Neural-Network Amplitude Spectral Subtraction. ISCA Conference on Intelligent Systems 2001: 118-121
17 Hiok Chai Quek, Abdul Wahab: Discrete Clustering Technique for Automatic Derivation of Fuzzy Membership. ISCA Conference on Intelligent Systems 2001: 92-95
16EEHiok Chai Quek, Ruowei Zhou: The POP learning algorithms: reducing work in identifying fuzzy rules. Neural Networks 14(10): 1431-1445 (2001)
15EEHiok Chai Quek, K. B. Tan, Vijay K. Sagar: Pseudo-outer product based fuzzy neural network fingerprint verification system. Neural Networks 14(3): 305-323 (2001)
14EEMichel Pasquier, Hiok Chai Quek, Mary Toh: Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles. Neural Networks 14(8): 1099-1112 (2001)
13 Hiok Chai Quek, W. L. Tung: A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture. Pattern Recognition Letters 22(9): 941-958 (2001)
2000
12EEJ. C. Tay, Hiok Chai Quek: Issues in the performance measurement of constraint-satisfaction techniques. AI in Engineering 14(4): 281-294 (2000)
11 Kai Keng Ang, Hiok Chai Quek: Improved MCMAC with momentum, neighborhood, and averaged trapezoidal output. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(3): 491-500 (2000)
1999
10 Hiok Chai Quek, Ruowei Zhou: POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 859-870 (1999)
1998
9 Lung-Hsiang Wong, Hiok Chai Quek, Chee-Kit Looi: TAP: a software architecture for an inquiry dialogue-based tutoring system. IEEE Transactions on Systems, Man, and Cybernetics, Part A 28(3): 315-325 (1998)
1997
8EEJ. C. Tay, S. Y. Huang, Hiok Chai Quek: CSL (Part I): Modelling General N-ary, Logical CSPs. ICTAI 1997: 414-421
7EEJ. C. Tay, S. Y. Huang, Hiok Chai Quek: CSL (Part II): Modelling General N-ary, Logical CSPs. ICTAI 1997: 422-429
1996
6 Lung-Hsiang Wong, Chee-Kit Looi, Hiok Chai Quek: Issues in Computerizing the Inquiry Dialoue Planning Process. Intelligent Tutoring Systems 1996: 252-260
5EEHiok Chai Quek, P. W. Ng: Realisation of neural network controllers in integrated process supervision. AI in Engineering 10(2): 135-142 (1996)
4EERuowei Zhou, Hiok Chai Quek: POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network. Neural Networks 9(9): 1569-1581 (1996)
3EERuowei Zhou, Hiok Chai Quek: DCBAM: A discrete chainable bidirectional associative memory. Pattern Recognition Letters 17(9): 985-999 (1996)
1995
2 Hiok Chai Quek, P. W. Ng, Michel Pasquier: Integrated Process Supervision: A Structured Approach to Expert Control. EPIA 1995: 323-334
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

1Kai Keng Ang [11] [20] [24] [31] [42] [45] [50]
2Alvin Cai [72]
3P. Cheng [26]
4Philip Cheng [38]
5Siu-Yeung Cho [80]
6Sussan De [68]
7Mathias Dharmawirya [56]
8Ghee Ming Goh [37]
9Hanlin Goh [82]
10William Goh [85]
11Atul Harkisanka [27]
12Haoming Huang [67] [84]
13S. Y. Huang [7] [8]
14H. Jiang [76]
15Stephen C. L. Koh [55]
16Y. K. Kong [58]
17Neha Kumar [53] [78]
18Edmund Ming-Kit Lai [49] [62]
19Graham Leedham (C. G. Leedham) [29]
20Ma Li [43] [57] [59]
21Bernard Boon Seng Lim [46]
22Joo-Hwee Lim [82]
23F. Liu [60]
24Feng Liu [52] [61]
25Tsee Foong Loh [52]
26Chee-Kit Looi [6] [9]
27A. H. Luah [79]
28Ernest Lumanpauw [71]
29M. I. Mah [38]
30Douglas L. Maskell [72]
31E. Y. K. Ng [64]
32Geok See Ng [1] [25] [28] [30] [32] [39] [48] [51] [52] [54] [55] [60] [61] [64] [65] [66] [69] [73] [76] [77] [81] [83]
33P. W. Ng [2] [5]
34Minh Nhut Nguyen [36] [54] [75]
35Richard Jayadi Oentaryo [74]
36Michel Pasquier [2] [14] [24] [46] [53] [67] [70] [71] [74] [78] [84] [85]
37Kian Hong Quah [29] [44] [47] [63]
38Khalil Razvi [77]
39Vijay K. Sagar [15]
40Daming Shi [27] [35] [36] [54] [75]
41A. Singh [33]
42Andy Tan [41]
43Eng Chong Tan [18]
44K. B. Tan [15]
45Tuan Zea Tan [30] [39] [48] [51] [55] [64] [65] [66] [73] [77] [81]
46A. M. Tang [32]
47J. C. Tay [7] [8] [12]
48Sintiani Dewi Teddy [62]
49Mary Toh [14]
50W. L. Tung [13] [21] [22] [23] [26] [34]
51Whye Loon Tung [40]
52Abdul Wahab [17] [18] [20] [43] [56] [57] [58] [59] [68] [79]
53Di Wang [25] [83]
54Lung-Hsiang Wong [6] [9]
55Guang Yang [35]
56Shuo Yao [70]
57Lei Zheng [80]
58Y. Zheng [28]
59Ruowei Zhou [1] [3] [4] [10] [16] [19]
60Wenbo Zong [49]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)