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ORCIDHiok Chai Quek
Chai Quek
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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2024
[j129]Nicole Hui Lin Kan, Qi Cao
, Chai Quek:
Learning and processing framework using Fuzzy Deep Neural Network for trading and portfolio rebalancing. Appl. Soft Comput. 152: 111233 (2024)- [j128]James Chee Min Tan, Qi Cao, Chai Quek:
FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network. Inf. Sci. 663: 120276 (2024) - [j127]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10288-10300 (2024) - [c110]Ridhima Bector, Abhay Aradhya, Chai Quek, Zinovi Rabinovich:
Adaptive Discounting of Training Time Attacks. AAMAS 2024: 2150-2152 - [i7]Ridhima Bector, Abhay Aradhya, Chai Quek, Zinovi Rabinovich:
Adaptive Discounting of Training Time Attacks. CoRR abs/2401.02652 (2024) - 2023
- [j126]Leon Lai Xiang Yeo, Qi Cao, Chai Quek:
Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms. Expert Syst. Appl. 216: 119440 (2023) - [j125]Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek:
VDPC: Variational density peak clustering algorithm. Inf. Sci. 621: 627-651 (2023) - [c109]Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich:
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? IJCAI 2023: 3470-3478 - 2022
- [j124]Xie Chen, Deepu Rajan, Dilip K. Prasad, Chai Quek:
An embedded deep fuzzy association model for learning and explanation. Appl. Soft Comput. 131: 109738 (2022) - [j123]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Hierarchical Reinforcement Learning: A Comprehensive Survey. ACM Comput. Surv. 54(5): 109:1-109:35 (2022) - [j122]Woon Huei Chai, Shen-Shyang Ho, Hiok Chai Quek:
Representation recovery via L1-norm minimization with corrupted data. Inf. Sci. 595: 395-426 (2022) - [j121]Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
Emotionally charged text classification with deep learning and sentiment semantic. Neural Comput. Appl. 34(3): 2341-2351 (2022) - [j120]Qing Yang Eddy Lim, Qi Cao, Chai Quek:
Dynamic portfolio rebalancing through reinforcement learning. Neural Comput. Appl. 34(9): 7125-7139 (2022) - [j119]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin:
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models. Neural Comput. Appl. 34(17): 14859-14879 (2022) - [j118]Woon Huei Chai, Shen-Shyang Ho, Hiok Chai Quek:
A Novel Quasi-Newton Method for Composite Convex Minimization. Pattern Recognit. 122: 108281 (2022) - [j117]Wai-Cheong Lincoln Lew, Di Wang, Kai Keng Ang, Joo-Hwee Lim, Chai Quek, Ah-Hwee Tan:
EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary Signals. IEEE Trans. Affect. Comput. 13(4): 1827-1839 (2022) - [j116]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7778-7790 (2022) - [i6]Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek:
VDPC: Variational Density Peak Clustering Algorithm. CoRR abs/2201.00641 (2022) - 2021
- [j115]Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad:
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network. Expert Syst. Appl. 184: 115548 (2021) - [j114]Xie Chen, Deepu Rajan, Chai Quek:
An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction. Inf. Sci. 577: 324-335 (2021) - [j113]Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad:
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system. Neural Comput. Appl. 33(4): 1123-1137 (2021) - [j112]Seow Wen Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making. SN Comput. Sci. 2(2): 111 (2021) - 2020
- [j111]Mohammad Ashrafi, Dilip K. Prasad, Chai Quek:
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data. Neurocomputing 407: 1-11 (2020) - [j110]Ruyi Foong, Ning Tang, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Chai Quek, Cuntai Guan, Kok Soon Phua, Christopher Wee Keong Kuah, Deshmukh Arun Vishwanath, Lester Hon Lum Yam, Deshan Kumar Rajeswaran:
Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation. IEEE Trans. Biomed. Eng. 67(3): 786-795 (2020) - [j109]Dilip K. Prasad, Huixu Dong, Deepu Rajan, Chai Quek:
Are Object Detection Assessment Criteria Ready for Maritime Computer Vision? IEEE Trans. Intell. Transp. Syst. 21(12): 5295-5304 (2020) - [c108]Xie Chen, Deepu Rajan, Chai Quek:
A Deep Hybrid Fuzzy Neural Hammerstein-Wiener Network for Stock Price Prediction. ICAIIC 2020: 288-293 - [c107]Quah En Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling. IFIP TC12 ICIS 2020: 125-136 - [c106]Sheng Wei Pang, Chai Quek, Dilip K. Prasad:
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j108]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Object Detection in a Maritime Environment: Performance Evaluation of Background Subtraction Methods. IEEE Trans. Intell. Transp. Syst. 20(5): 1787-1802 (2019) - 2018
- [j107]Swathi Kavuri Sri, Kalyana C. Veluvolu, Hiok Chai Quek:
Evolutionary Based ICA With Reference for EEG μ Rhythm Extraction. IEEE Access 6: 19702-19713 (2018) - [j106]Aparna Ramesh Iyer, Dilip K. Prasad, Hiok Chai Quek:
PIE-RSPOP: A brain-inspired pseudo-incremental ensemble rough set pseudo-outer product fuzzy neural network. Expert Syst. Appl. 95: 172-189 (2018) - [j105]Dilip K. Prasad, Shijie Liu, Shen-Hsing Annabel Chen, Chai Quek:
Sentiment analysis using EEG activities for suicidology. Expert Syst. Appl. 103: 206-217 (2018) - [j104]Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou:
An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings. Neurocomputing 319: 102-117 (2018) - [j103]Phuoc Khac-Tien Nguyen, Lloyd Hock Chye Chua, Amin Talei, Hiok Chai Quek:
Water level forecasting using neuro-fuzzy models with local learning. Neural Comput. Appl. 30(6): 1877-1887 (2018) - [c105]Tak Kwin Chang, Amin Talei, Chai Quek:
Rainfall-runoff Modelling in a Semi-urbanized Catchment using Self-adaptive Fuzzy Inference Network. IJCCI 2018: 86-97 - [i5]Dilip K. Prasad, Deepu Rajan, Chai Quek:
Are object detection assessment criteria ready for maritime computer vision? CoRR abs/1809.04659 (2018) - 2017
- [j102]Yaqian Zhang, Jacek Mandziuk, Hiok Chai Quek, Wooi-Boon Goh:
Curvature-based method for determining the number of clusters. Inf. Sci. 415: 414-428 (2017) - [j101]Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey. IEEE Trans. Intell. Transp. Syst. 18(8): 1993-2016 (2017) - [c104]Ruyi Foong, Kai Keng Ang, Chai Quek:
Correlation of reaction time and EEG log bandpower from dry frontal electrodes in a passive fatigue driving simulation experiment. EMBC 2017: 2482-2485 - [c103]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh, Liang-Tien Chia, Hiok Chai Quek:
A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. MVA 2017: 13-16 - [c102]Di Wang, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Geok See Ng, You Zhou:
Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system. SPAC 2017: 55-60 - [i4]Dilip K. Prasad, Deepu Rajan, Chandrashekar Krishna Prasath, Lily Rachmawati, Eshan Rajabally, Chai Quek:
MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images. CoRR abs/1701.08378 (2017) - [i3]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Maritime situational awareness using adaptive multi-sensor management under hazy conditions. CoRR abs/1702.00754 (2017) - 2016
- [j100]Di Wang, Chai Quek, Geok See Ng:
Bank failure prediction using an accurate and interpretable neural fuzzy inference system. AI Commun. 29(4): 477-495 (2016) - [j99]Ronald Tor Das, Kai Keng Ang, Chai Quek:
ieRSPOP: A novel incremental rough set-based pseudo outer-product with ensemble learning. Appl. Soft Comput. 46: 170-186 (2016) - [j98]Chengyuan Chen, Neil Mac Parthaláin, Ying Li, Chris J. Price, Chai Quek, Qiang Shen:
Rough-fuzzy rule interpolation. Inf. Sci. 351: 1-17 (2016) - [i2]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Challenges in video based object detection in maritime scenario using computer vision. CoRR abs/1608.01079 (2016) - [i1]Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey. CoRR abs/1611.05842 (2016) - 2015
- [j97]Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Abdul Wahab, Shen-Hsing Annabel Chen:
Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions. Appl. Soft Comput. 32: 335-346 (2015) - [j96]Ngoc Nam Nguyen, Weigui Jair Zhou, Chai Quek:
GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach. Appl. Soft Comput. 35: 29-42 (2015) - [c101]Ruyi Foong, Kai Keng Ang, Chai Quek, Cuntai Guan, Aung Aung Phyo Wai:
An analysis on driver drowsiness based on reaction time and EEG band power. EMBC 2015: 7982-7985 - [c100]Javan Tan, Weigui Jair Zhou, Chai Quek:
Trading model: Self reorganizing Fuzzy Associative Machine - forecasted MACD-Histogram (SeroFAM-fMACDH). IJCNN 2015: 1-8 - [c99]Weigui Jair Zhou, Douglas Leslie Maskell, Chai Quek:
FIE-FCMAC: A novel fuzzy cerebellum model articulation controller (FCMAC) using fuzzy interpolation and extrapolation technique. IJCNN 2015: 1-8 - 2014
- [j95]Di Wang, Chai Quek, Geok See Ng:
Ovarian cancer diagnosis using a hybrid intelligent system with simple yet convincing rules. Appl. Soft Comput. 20: 25-39 (2014) - [j94]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface. Neural Comput. Appl. 25(3-4): 625-634 (2014) - [j93]Shangzhu Jin, Ren Diao, Chai Quek, Qiang Shen:
Backward Fuzzy Rule Interpolation. IEEE Trans. Fuzzy Syst. 22(6): 1682-1698 (2014) - [j92]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Michael S. Brown:
DEB: Definite Error Bounded Tangent Estimator for Digital Curves. IEEE Trans. Image Process. 23(10): 4297-4310 (2014) - [j91]Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Abdul Wahab:
ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal. IEEE Trans. Neural Networks Learn. Syst. 25(3): 609-620 (2014) - 2013
- [j90]Sau Wai Tung, Chai Quek, Cuntai Guan:
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System. Inf. Sci. 220: 124-148 (2013) - [j89]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface. Neural Comput. 25(8): 2146-2171 (2013) - [j88]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek:
ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method. Pattern Recognit. 46(5): 1449-1465 (2013) - [j87]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 24(4): 610-619 (2013) - [c98]Dilip K. Prasad, Chai Quek:
Comparison of error bounds for non-parametric dominant point detection. ICICS 2013: 1-5 - [c97]Chengyuan Chen, Chai Quek, Qiang Shen:
Scale and move transformation-based fuzzy rule interpolation with interval type-2 fuzzy sets. FUZZ-IEEE 2013 - [c96]Shangzhu Jin, Ren Diao, Chai Quek, Qiang Shen:
Backward fuzzy rule interpolation with multiple missing values. FUZZ-IEEE 2013 - [c95]Nitin Naik, Ren Diao, Chai Quek, Qiang Shen:
Towards dynamic fuzzy rule interpolation. FUZZ-IEEE 2013: 1-7 - [c94]Weigui Jair Zhou, Douglas Leslie Maskell, Chai Quek:
Fuzzy interpolation and extrapolation using shift ratio and overall weight measurement based on areas of fuzzy sets. UKCI 2013: 46-53 - 2012
- [j86]Toly Chen, Pagavathi Balasubramaniam, Hiok Chai Quek, Yi-Chi Wang:
Applied Neural Intelligence to Modeling, Control, and Management of Human Systems and Environments. Appl. Comput. Intell. Soft Comput. 2012: 595041:1-595041:2 (2012) - [j85]Kai Keng Ang, Chai Quek:
Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions. Expert Syst. Appl. 39(3): 2279-2287 (2012) - [j84]Norhaslinda Kamaruddin, Abdul Wahab, Chai Quek:
Cultural dependency analysis for understanding speech emotion. Expert Syst. Appl. 39(5): 5115-5133 (2012) - [j83]Geok See Ng, F. Liu, Tsee Foong Loh, Chai Quek:
A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling. Expert Syst. Appl. 39(15): 11808-11817 (2012) - [j82]Sau Wai Tung, Chai Quek, Cuntai Guan:
SoHyFIS-Yager: A self-organizing Yager based Hybrid neural Fuzzy Inference System. Expert Syst. Appl. 39(17): 12759-12771 (2012) - [j81]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Siu-Yeung Cho:
A novel framework for making dominant point detection methods non-parametric. Image Vis. Comput. 30(11): 843-859 (2012) - [j80]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia. IEEE Trans. Neural Networks Learn. Syst. 23(2): 317-329 (2012) - [c93]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation. EMBC 2012: 4124-4127 - [c92]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface. ICASSP 2012: 2541-2544 - [c91]Dilip K. Prasad, Chai Quek, Maylor K. H. Leung:
A Precise Ellipse Fitting Method for Noisy Data. ICIAR (1) 2012: 253-260 - [c90]Dilip K. Prasad, Chai Quek, Maylor K. H. Leung:
A Non-heuristic Dominant Point Detection Based on Suppression of Break Points. ICIAR (1) 2012: 269-276 - [c89]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients. IJCNN 2012: 1-6 - [c88]Eng-Yeow Cheu, Kelvin Sim, See-Kiong Ng, Chai Quek:
Fuzzy associative learning of feature dependency for time series forecasting. IJCNN 2012: 1-7 - [c87]Biju Joseph Jacob, Eng-Yeow Cheu, Javan Tan, Chai Quek:
Self-reorganizing TSK fuzzy inference system with BCM theory of meta-plasticity. IJCNN 2012: 1-8 - [c86]Ngoc Nam Nguyen, Chai Quek, Eng-Yeow Cheu:
Traffic prediction using a Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network. IJCNN 2012: 1-7 - [c85]Sau Wai Tung, Chai Quek, Cuntai Guan:
Traffic modeling and identification using a Self-adaptive Fuzzy Inference Network. IJCNN 2012: 1-7 - 2011
- [j79]Whye Loon Tung, Chai Quek:
Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach. Expert Syst. Appl. 38(5): 4668-4688 (2011) - [j78]Zhiyong Tan, Chai Quek, Philip Y. K. Cheng:
Stock trading with cycles: A financial application of ANFIS and reinforcement learning. Expert Syst. Appl. 38(5): 4741-4755 (2011) - [j77]Haoming Huang, Michel Pasquier, Hiok Chai Quek:
Decision support system based on hierarchical co-evolutionary fuzzy approach: A case study in detecting gamma ray signals. Expert Syst. Appl. 38(9): 10719-10729 (2011) - [j76]Richard Jayadi Oentaryo, Michel Pasquier, Chai Quek:
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction. Expert Syst. Appl. 38(10): 12066-12084 (2011) - [j75]Chai Quek, Zaiyi Guo, Douglas L. Maskell:
A Novel Fuzzy Associative Memory Architecture for Stock Market Prediction and Trading. Int. J. Fuzzy Syst. Appl. 1(1): 61-78 (2011) - [j74]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI. IEEE Trans. Biomed. Eng. 58(6): 1865-1873 (2011) - [j73]Sau Wai Tung, Chai Quek, Cuntai Guan:
SaFIN: A Self-Adaptive Fuzzy Inference Network. IEEE Trans. Neural Networks 22(12): 1928-1940 (2011) - [c84]Dilip K. Prasad, Hiok Chai Quek, Maylor Karhang Leung, Siu-Yeung Cho:
A parameter independent line fitting method. ACPR 2011: 441-445 - [c83]Sau Wai Tung, Chai Quek, Cuntai Guan:
FAPOP: Feature analysis enhanced pseudo outer-product fuzzy rule identification system. FUZZ-IEEE 2011: 1530-1537 - [c82]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
Evolving ensemble of fuzzy models. FUZZ-IEEE 2011: 2668-2675 - [c81]Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Chai Quek:
Spatially sparsed Common Spatial Pattern to improve BCI performance. ICASSP 2011: 2412-2415 - [c80]Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Sau Wai Tung, Michel Heijnen:
A Brain-Computer Interface for classifying EEG correlates of chronic mental stress. IJCNN 2011: 757-762 - 2010
- [j72]Chai Quek, W. Irawan, E. Y. K. Ng:
A novel brain-inspired neural cognitive approach to SARS thermal image analysis. Expert Syst. Appl. 37(4): 3040-3054 (2010) - [j71]Amin Talei, Lloyd Hock Chye Chua, Chai Quek:
A novel application of a neuro-fuzzy computational technique in event-based rainfall-runoff modeling. Expert Syst. Appl. 37(12): 7456-7468 (2010) - [j70]Whye Loon Tung, Chai Quek:
eFSM: a novel online neural-fuzzy semantic memory model. IEEE Trans. Neural Networks 21(1): 136-157 (2010) - [j69]Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai, Ali Cinar:
PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement. IEEE Trans. Neural Networks 21(3): 361-380 (2010) - [j68]Javan Tan, Chai Quek:
A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning. IEEE Trans. Neural Networks 21(6): 985-1003 (2010) - [j67]Ghee Ming Goh, Chai Quek, Douglas L. Maskell:
EpiList II: Closing the Loop in the Development of Generic Cognitive Skills. IEEE Trans. Syst. Man Cybern. Part A 40(4): 676-685 (2010) - [c79]Ronald Tor Das, Kai Keng Ang, Chai Quek:
A synergy of econometrics and computational methods (GARCH-RNFS) for volatility forecasting. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c78]Weng Luen Ho, Whye Loon Tung, Chai Quek:
An evolving Mamdani-Takagi-Sugeno based neural-fuzzy inference system with improved interpretability-accuracy. FUZZ-IEEE 2010: 1-8 - [c77]Reza Khosrowabadi, Hiok Chai Quek, Abdul Wahab, Kai Keng Ang:
EEG-based Emotion Recognition Using Self-Organizing Map for Boundary Detection. ICPR 2010: 4242-4245 - [c76]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network. IJCNN 2010: 1-8 - [c75]Ngoc Nam Nguyen, Chai Quek:
Stock price prediction using Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network. IJCNN 2010: 1-8 - [c74]Reza Khosrowabadi, Michel Heijnen, Abdul Wahab, Hiok Chai Quek:
The dynamic emotion recognition system based on functional connectivity of brain regions. Intelligent Vehicles Symposium 2010: 377-381 - [c73]Javan Tan, Chai Quek:
Online Self-reorganizing Neuro-fuzzy Reasoning in Interval-Forecasting for Financial Time-Series. PRICAI 2010: 523-534 - [c72]Sau Wai Tung, Chai Quek, Cuntai Guan:
An Evolving Type-2 Neural Fuzzy Inference System. PRICAI 2010: 535-546 - [c71]Weng Luen Ho, Whye Loon Tung, Chai Quek:
Brain-Inspired Evolving Neuro-Fuzzy System for Financial Forecasting and Trading of the S&P500 Index. PRICAI 2010: 601-607
2000 – 2009
- 2009
- [j66]Y. Chong, Hiok Chai Quek, P. Loh:
A novel neuro-cognitive approach to modeling traffic control and flow based on fuzzy neural techniques. Expert Syst. Appl. 36(3): 4788-4803 (2009) - [j65]Siu-Yeung Cho, Chai Quek, Shao-Xiong Seah, Chin-Hui Chong:
HebbR2-Taffic: A novel application of neuro-fuzzy network for visual based traffic monitoring system. Expert Syst. Appl. 36(3): 6343-6356 (2009) - [j64]Abdul Wahab, Hiok Chai Quek:
A novel associative memory approach to speech enhancement in a vehicular environment. Expert Syst. Appl. 36(10): 12120-12130 (2009) - [j63]Chai Quek, Michel Pasquier, Bernard Boon Seng Lim:
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour. Expert Syst. Appl. 36(10): 12167-12178 (2009) - [j62]Chai Quek, Kin Choong Yow, Philip Y. K. Cheng, C. C. Tan:
Investment portfolio balancing: application of a generic self-organizing fuzzy neural network (GenSoFNN). Intell. Syst. Account. Finance Manag. 16(1-2): 147-164 (2009) - [j61]Chai Quek, Ruowei Zhou, C. H. Lee:
A novel fuzzy neural approach to data reconstruction and failure prediction. Intell. Syst. Account. Finance Manag. 16(1-2): 165-187 (2009) - [j60]Abdul Wahab, Chai Quek, A. H. Luah:
Neuro-fuzzy icu ventilator patients modeling. J. Comput. Methods Sci. Eng. 9(4-6): 159-167 (2009) - [j59]Haoming Huang, Michel Pasquier, Chai Quek:
Financial Market Trading System With a Hierarchical Coevolutionary Fuzzy Predictive Model. IEEE Trans. Evol. Comput. 13(1): 56-70 (2009) - [j58]Abdul Wahab, Chai Quek, Chin Keong Tan, Kazuya Takeda:
Driving Profile Modeling and Recognition Based on Soft Computing Approach. IEEE Trans. Neural Networks 20(4): 563-582 (2009) - [j57]Chan Wai Ting, Chai Quek:
A Novel Blood Glucose Regulation Using TSK0-FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme. IEEE Trans. Neural Networks 20(5): 856-871 (2009) - [j56]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Fuzzy Associative Conjuncted Maps Network. IEEE Trans. Neural Networks 20(8): 1302-1319 (2009) - [j55]Wing-Cheong Wong, Siu-Yeung Cho, Chai Quek:
R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification. IEEE Trans. Neural Networks 20(11): 1740-1755 (2009) - [c70]Hanlin Goh, Joo Hwe Lim, Chai Quek:
Learning from an ensemble of Receptive Fields. IEEE ICCI 2009: 86-93 - [c69]Eng-Yeow Cheu, See-Kiong Ng, Hiok Chai Quek:
An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm. IEEE Congress on Evolutionary Computation 2009: 925-932 - [c68]Eng-Yeow Cheu, See-Kiong Ng, Chai Quek:
A hypothalamic and piagetian fuzzy inference system: HtPFIS. FUZZ-IEEE 2009: 1-6 - [c67]Ngoc Nam Nguyen, Chai Quek:
RSFCMAC: A novel rough set-based rule reduction approach for fuzzy CMAC architecture with yager-inference-scheme. FUZZ-IEEE 2009: 13-18 - [c66]Javan Tan, Chai Quek:
ACPOP: Ambiguity correction-based pseudo-outer-product fuzzy rule identification algorithm. FUZZ-IEEE 2009: 74-79 - [c65]Sau Wai Tung, Chai Quek, Cuntai Guan:
T2-HyFIS-yager: Type 2 hybrid neural fuzzy inference system realizing yager inference. FUZZ-IEEE 2009: 80-85 - [c64]Whye Loon Tung, Chai Quek:
A mamdani-takagi-sugeno based linguistic neural-fuzzy inference system for improved interpretability-accuracy representation. FUZZ-IEEE 2009: 367-372 - [r1]Kai Keng Ang, Chai Quek:
Rough Set-Based Neuro-Fuzzy System. Encyclopedia of Artificial Intelligence 2009: 1396-1403 - 2008
- [j54]Andy Tan, Hiok Chai Quek, Kin Choong Yow:
Maximizing winning trades using a novel RSPOP fuzzy neural network intelligent stock trading system. Appl. Intell. 29(2): 116-128 (2008) - [j53]Chai 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) - [j52]Tuan Zea Tan, Chai Quek, Geok See Ng, Khalil Razvi:
Ovarian cancer diagnosis with complementary learning fuzzy neural network. Artif. Intell. Medicine 43(3): 207-222 (2008) - [j51]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) - [j50]Minh 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) - [j49]Richard 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) - [j48]Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Hiok Chai Quek:
A cerebellar associative memory approach to option pricing and arbitrage trading. Neurocomputing 71(16-18): 3303-3315 (2008) - [j47]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. Biol. Bioinform. 5(1): 67-79 (2008) - [j46]A. Singh, Hiok Chai Quek, Siu-Yeung Cho:
DCT-Yager FNN: A Novel Yager-Based Fuzzy Neural Network With the Discrete Clustering Technique. IEEE Trans. Neural Networks 19(4): 625-644 (2008) - [j45]Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai:
PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture. IEEE Trans. Neural Networks 19(4): 689-712 (2008) - [c63]Haoming 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 - [c62]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 - [c61]Whye Loon Tung, Chai Quek:
An adaptive fuzzy semantic memory model based on the computational principles of the human hippocampus. FUZZ-IEEE 2008: 1667-1674 - [c60]William Goh, Michel Pasquier, Chai Quek:
Adaptive control of infusion pump for Type-I diabetes control using a self-tuning regulator. ICARCV 2008: 1379-1384 - [c59]Sau Wai Tung, Chai Quek, Cuntai Guan:
HyFIS-Yager-gDIC: A Self-organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference. ICONIP (1) 2008: 1137-1145 - [c58]Eng-Yeow Cheu, Hiok Chai Quek, See-Kiong Ng:
TNFIS: Tree-based neural fuzzy inference system. IJCNN 2008: 398-405 - [c57]Lei Zheng, Siu-Yeung Cho, Chai Quek:
A memory-based reinforcement learning algorithm for partially observable Markovian decision processes. IJCNN 2008: 800-805 - [c56]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Learning associations of conjuncted fuzzy sets for data prediction. IJCNN 2008: 1515-1522 - [c55]Wi-Meng Tan, Hiok Chai Quek:
Adaptive training schema in Mamdani-type neuro-fuzzy models for data-analysis in dynamic system forecasting. IJCNN 2008: 1733-1738 - [c54]Tuan Zea Tan, Geok See Ng, Chai Quek:
Improving tractability of Clinical Decision Support system. IJCNN 2008: 1997-2002 - [c53]Abdul Wahab, Hiok Chai Quek, A. H. Luah:
Neuro-Fuzzy ICU Ventilator Patients Modeling. SEDE 2008: 91-96 - 2007
- [j44]Philip Y. K. Cheng, Hiok Chai Quek, M. L. Mah:
Predicting the Impact of Anticipatory Action on U.S. Stock Market - An Event Study Using ANFIS (a neural fuzzy model). Comput. Intell. 23(2): 117-141 (2007) - [j43]Tuan Zea Tan, Chai Quek, Geok See Ng:
Biological Brain-Inspired Genetic Complementary Learning for Stock Market and Bank Failure Prediction. Comput. Intell. 23(2): 236-261 (2007) - [j42]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) - [j41]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) - [j40]W. L. Tung, Chai Quek:
A brain-inspired fuzzy semantic memory model for learning and reasoning with uncertainty. Neural Comput. Appl. 16(6): 559-569 (2007) - [j39]Feng Liu, Chai Quek, Geok See Ng:
A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System. Neural Comput. 19(6): 1656-1680 (2007) - [j38]Daming Shi, Hiok Chai Quek, R. Tilani, Jiacai Fu:
Product Demand Forecasting with a Novel Fuzzy CMAC. Neural Process. Lett. 25(1): 63-78 (2007) - [j37]Kian Hong Quah, Chai Quek:
MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections. IEEE Trans. Neural Networks 18(2): 431-448 (2007) - [j36]Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Chai Quek:
Hierarchically Clustered Adaptive Quantization CMAC and Its Learning Convergence. IEEE Trans. Neural Networks 18(6): 1658-1682 (2007) - [j35]Ghee Ming Goh, Hiok Chai Quek:
EpiList: An Intelligent Tutoring System Shell for Implicit Development of Generic Cognitive Skills That Support Bottom-Up Knowledge Construction. IEEE Trans. Syst. Man Cybern. Part A 37(1): 58-71 (2007) - [c52]Hiok Chai Quek, Philip Y. K. Cheng, A. Jain:
Predicting impact of news on stock price: An evaluation of neuro fuzzy systems. IEEE Congress on Evolutionary Computation 2007: 1226-1233 - [c51]Alvin Cai, Chai Quek, Douglas L. Maskell:
Type-2 GA-TSK fuzzy neural network. IEEE Congress on Evolutionary Computation 2007: 1578-1585 - [c50]Ernest 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 - [c49]Shuo Yao, Michel Pasquier, Chai Quek:
A foreign exchange portfolio management mechanism based on fuzzy neural networks. IEEE Congress on Evolutionary Computation 2007: 2576-2583 - [c48]Geok See Ng, Chai Quek:
A computational intelligence system based on memory consolidation model. IEEE Congress on Evolutionary Computation 2007: 2630-2635 - [c47]H. K. Phee, W. L. Tung, Chai Quek:
A personalized approach to insulin regulation using brain-inspired neural sematic memory in diabetic glucose control. IEEE Congress on Evolutionary Computation 2007: 2644-2651 - [c46]Abdul Wahab, Chai Quek, Sussan De:
Speech emotion recognition using auditory cortex. IEEE Congress on Evolutionary Computation 2007: 2658-2664 - [c45]Haoming 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 - [c44]Tuan Zea Tan, Geok See Ng, Chai Quek:
Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset. IJCNN 2007: 2306-2311 - [c43]Tuan Zea Tan, Geok See Ng, Chai Quek:
Complementary Decision Making System for Aiding Medical Image Diagnosis. IJCNN 2007: 2324-2329 - 2006
- [j34]Kian Hong Quah, Hiok Chai Quek:
Maximum reward reinforcement learning: A non-cumulative reward criterion. Expert Syst. Appl. 31(2): 351-359 (2006) - [j33]Hiok Chai Quek, Ruowei Zhou:
Structure and learning algorithms of a nonsingleton input fuzzy neural network based on the approximate analogical reasoning schema. Fuzzy Sets Syst. 157(13): 1814-1831 (2006) - [j32]Chai Quek, Michel Pasquier, Bernard Boon Seng Lim:
POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction. IEEE Trans. Intell. Transp. Syst. 7(2): 133-146 (2006) - [j31]Kai Keng Ang, Chai Quek:
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach. IEEE Trans. Neural Networks 17(5): 1301-1315 (2006) - [j30]J. Sim, W. L. Tung, Chai Quek:
FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC. IEEE Trans. Neural Networks 17(6): 1394-1410 (2006) - [j29]Kian Hong Quah, Hiok Chai Quek:
FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation. IEEE Trans. Syst. Man Cybern. Part B 36(1): 166-178 (2006) - [j28]Minh Nhut Nguyen, Daming Shi, Chai Quek:
FCMAC-BYY: Fuzzy CMAC Using Bayesian Ying-Yang Learning. IEEE Trans. Syst. Man Cybern. Part B 36(5): 1180-1190 (2006) - [c42]Li Ma, Abdul Wahab, Chai Quek:
A Modified Generalized RBF Model with EM-based Learning Algorithm for Medical Applications. CBMS 2006: 291-296 - [c41]Abdul Wahab, Y. K. Kong, Hiok Chai Quek:
Model Reference Adaptive Control on Glucose for the Treatment of Diabetes Mellitus. CBMS 2006: 315-320 - [c40]Tuan Zea Tan, Geok See Ng, Chai Quek:
Genetic Complementary Learning for Translation Initialization Sites Prediction. IEEE Congress on Evolutionary Computation 2006: 259-266 - [c39]Chee H. Lee, Chai Quek, Douglas L. Maskell:
A Brain Inspired Fuzzy Neuro-predictor for Bank Failure Analysis. IEEE Congress on Evolutionary Computation 2006: 2163-2170 - [c38]Zaiyi Guo, Chai Quek, Douglas L. Maskell:
FCMAC-AARS: A Novel FNN Architecture for Stock Market Prediction and Trading. IEEE Congress on Evolutionary Computation 2006: 2375-2381 - [c37]Di Wang, Geok See Ng, Chai Quek:
Ovarian Cancer Diagnosis Using Fuzzy Neural Networks Empowered By Evolutionary Clustering Technique. IEEE Congress on Evolutionary Computation 2006: 2764-2770 - [c36]Haoming Huang, Michel Pasquier, Chai Quek:
Optimally Evolving Irregular-Shaped Membership Functions for Fuzzy Systems. IEEE Congress on Evolutionary Computation 2006: 3309-3316 - [c35]Whye Loon Tung, Chai Quek:
A Hippocampal-inspired Self-Organising Learning Memory Model with Analogical Reasoning for Decision Support. FUZZ-IEEE 2006: 1154-1161 - [c34]Li Ma, Abdul Wahab, Chai Quek:
A Modified Generalized RBF Model with EM-based Learning Algorithm. IC-AI 2006: 262-270 - [c33]Abdul Wahab, Mathias Dharmawirya, Chai Quek:
Speaker Verification System based on the Cerebellum Architecture. IC-AI 2006: 271-277 - [c32]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 - [c31]Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Hiok Chai Quek:
A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning. ICONIP (1) 2006: 155-164 - [c30]Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Hiok Chai Quek:
A Brain-Inspired Cerebellar Associative Memory Approach to Option Pricing and Arbitrage Trading. ICONIP (3) 2006: 370-379 - [c29]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 - [c28]Kai Keng Ang, Chai Quek:
Rough set-based neuro-fuzzy system. IJCNN 2006: 742-749 - [c27]Chai Quek, Michel Pasquier, Neha Kumar:
A Novel Recurrent Neural Network Based Prediction System for Trading. IJCNN 2006: 2090-2097 - [c26]Feng Liu, Geok See Ng, Chai Quek, Tsee Foong Loh:
Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System. IJCNN 2006: 2859-2864 - [c25]Tuan Zea Tan, Chai Quek, Geok See Ng:
Clinical Diagnosis Using Proteomics and Complementary Learning. IJCNN 2006: 2865-2872 - [p3]Wenbo Zong, Edmund Ming-Kit Lai, Chai Quek:
Digital Modulation Classification using Fuzzy Neural Networks. Chance Discoveries in Real World Decision Making 2006: 101-116 - [p2]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 - [p1]W. L. Tung, Chai Quek:
A NeuroCognitive Approach to Decision-Making in Chance Discovery. Chance Discoveries in Real World Decision Making 2006: 231-250 - 2005
- [j27]W. L. Tung, Hiok Chai Quek:
GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data. Artif. Intell. Medicine 33(1): 61-88 (2005) - [j26]Hiok 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) - [j25]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) - [j24]Kai Keng Ang, Hiok Chai Quek:
RSPOP: Rough Set-Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm. Neural Comput. 17(1): 205-243 (2005) - [j23]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) - [j22]Kian Hong Quah, Hiok Chai Quek, Graham Leedham:
Reinforcement learning combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification. Pattern Recognit. 38(4): 513-526 (2005) - [c24]Li Ma, Abdul Wahab, Chai Quek:
A New Algorithm for Order-Independent Clustering. CAINE 2005: 344-349 - [c23]Kai 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 - [c22]Andy 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 - [c21]Whye 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 - [c20]Tuan Zea Tan, Chai Quek, Geok See Ng:
Brain-inspired genetic complementary learning for stock market prediction. Congress on Evolutionary Computation 2005: 2653-2660 - [c19]Philip Y. K. Cheng, M. L. 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 - [c18]Ghee Ming Goh, Chai Quek:
EpiList II: Explicit Instructions for Development of Generic Cognitive Skills. ICCE 2005: 116-123 - [c17]Minh Nhut Nguyen, Daming Shi, Chai Quek:
Self-Organizing Gaussian Fuzzy CMAC with Truth Value Restriction. ICITA (2) 2005: 185-190 - [c16]Guang Yang, Daming Shi, Chai Quek:
Fingerprint Minutia Recognition with Fuzzy Neural Network. ISNN (2) 2005: 165-170 - 2004
- [j21]W. L. Tung, Hiok Chai Quek, Philip Y. K. Cheng:
GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures. Neural Networks 17(4): 567-587 (2004) - [j20]Di Wang, Chai Quek, Geok See Ng:
Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering. Neural Process. Lett. 20(1): 39-51 (2004) - [j19]Abdul Wahab, Hiok Chai Quek, Geok See Ng, Eng Chong Tan:
Noise Spectra Modeling Based on Fuzzy Neural Networks. Neural Parallel Sci. Comput. 12(2): 123-134 (2004) - [j18]W. L. Tung, Chai Quek:
Falcon: neural fuzzy control and decision systems using FKP and PFKP clustering algorithms. IEEE Trans. Syst. Man Cybern. Part B 34(1): 686-695 (2004) - [c15]Yantao Zheng, Chai Quek, Geok See Ng:
Modified discrete clustering technique: a novel approach to represent membership functions of fuzzy sets. ICARCV 2004: 2023-2028 - [c14]Daming Shi, Atul Harkisanka, Hiok Chai Quek:
CMAC with Fuzzy Logic Reasoning. ICONIP 2004: 898-903 - 2003
- [j17]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 Trans. Syst. Man Cybern. Part B 33(6): 838-849 (2003) - 2002
- [j16]Kai 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) - [j15]Hiok Chai Quek, Ruowei Zhou:
Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system. Pattern Recognit. Lett. 23(14): 1795-1816 (2002) - [j14]Whye Loon Tung, Hiok Chai Quek:
GenSoFNN: a generic self-organizing fuzzy neural network. IEEE Trans. Neural Networks 13(5): 1075-1086 (2002) - [c13]Michel Pasquier, Chai Quek, W. L. Tung, D. Chen, T. M. Yep:
Fuzzylot II: a novel soft computing approach to the realisation of autonomous driving manoeuvres for intelligent vehicles. ICARCV 2002: 746-751 - [c12]W. L. Tung, Hiok Chai Quek:
DIC: A Novel Discrete Incremental Clustering Technique for the Derivation of Fuzzy Membership Functions. PRICAI 2002: 178-187 - [c11]W. L. Tung, Hiok Chai Quek:
BackPOLE: Back Propagation Based on Objective Learning Errors. PRICAI 2002: 265-274 - [c10]W. L. Tung, Hiok Chai Quek:
FuzzyDrive: A Fuzzy Rule-Based Auto Pilot System. PRICAI 2002: 601 - 2001
- [j13]Hiok 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) - [j12]Michel 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) - [j11]Hiok Chai Quek, Ruowei Zhou:
The POP learning algorithms: reducing work in identifying fuzzy rules. Neural Networks 14(10): 1431-1445 (2001) - [j10]Hiok Chai Quek, W. L. Tung:
A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture. Pattern Recognit. Lett. 22(9): 941-958 (2001) - [c9]Hiok Chai Quek, Abdul Wahab:
Discrete Clustering Technique for Automatic Derivation of Fuzzy Membership. IS 2001: 92-95 - [c8]Abdul Wahab, Hiok Chai Quek, Eng Chong Tan:
Low-Cost Stereo Microphone Neural-Network Amplitude Spectral Subtraction. IS 2001: 118-121 - 2000
- [j9]J. C. Tay, Hiok Chai Quek:
Issues in the performance measurement of constraint-satisfaction techniques. Artif. Intell. Eng. 14(4): 281-294 (2000) - [j8]Kai Keng Ang, Hiok Chai Quek:
Improved MCMAC with momentum, neighborhood, and averaged trapezoidal output. IEEE Trans. Syst. Man Cybern. Part B 30(3): 491-500 (2000)
1990 – 1999
- 1999
- [j7]Hiok Chai Quek, Ruowei Zhou:
POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network. IEEE Trans. Syst. Man Cybern. Part B 29(6): 859-870 (1999) - 1998
- [j6]Lung-Hsiang Wong, Hiok Chai Quek, Chee-Kit Looi:
TAP: a software architecture for an inquiry dialogue-based tutoring system. IEEE Trans. Syst. Man Cybern. Part A 28(3): 315-325 (1998) - 1997
- [c7]J. C. Tay, S. Y. Huang, Hiok Chai Quek:
CSL (Part I): Modelling General N-ary, Logical CSPs. ICTAI 1997: 414-421 - [c6]J. C. Tay, S. Y. Huang, Hiok Chai Quek:
CSL (Part II): Modelling General N-ary, Logical CSPs. ICTAI 1997: 422-429 - 1996
- [j5]Hiok Chai Quek, P. W. Ng:
Realisation of neural network controllers in integrated process supervision. Artif. Intell. Eng. 10(2): 135-142 (1996) - [j4]Ruowei Zhou, Hiok Chai Quek:
POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network. Neural Networks 9(9): 1569-1581 (1996) - [j3]Ruowei Zhou, Hiok Chai Quek:
DCBAM: A discrete chainable bidirectional associative memory. Pattern Recognit. Lett. 17(9): 985-999 (1996) - [c5]Ruowei Zhou, Chai Quek:
An automatic fuzzy neural network driven signature verification system. ICNN 1996: 1034-1039 - [c4]Ruowei Zhou, Chai Quek:
A pseudo outer-product based fuzzy neural network and its rule-identification algorithm. ICNN 1996: 1156-1161 - [c3]Lung-Hsiang Wong, Chee-Kit Looi, Hiok Chai Quek:
Issues in Computerizing the Inquiry Dialoue Planning Process. Intelligent Tutoring Systems 1996: 252-260 - 1995
- [j2]Ruowei Zhou, Hiok Chai Quek, Geok See Ng:
A novel single-pass thinning algorithm and an effective set of performance criteria. Pattern Recognit. Lett. 16(12): 1267-1275 (1995) - [c2]Hiok Chai Quek, P. W. Ng, Michel Pasquier:
Integrated Process Supervision: A Structured Approach to Expert Control. EPIA 1995: 323-334 - [c1]Ruowei Zhou, Chai Quek:
A pseudo outer-product based fuzzy neural network. ICNN 1995: 957-962 - 1990
- [b1]Hiok Chai Quek:
The application of artificial intelligence techniques to the integrated control of complex dynamic physical systems. Heriot-Watt University, Edinburgh, UK, 1990 - [j1]Roy Leitch, Mark Eric Wiegand, Hiok Chai Quek:
Coping with Complexity in Physical System Modelling. AI Commun. 3(2): 48-57 (1990)
Coauthor Index
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