| On equivalence of FIS and ELM for interpretable rule-based knowledge representation SY Wong, KS Yap, HJ Yap, SC Tan, SW Chang IEEE transactions on neural networks and learning systems 26 (7), 1417-1430, 2015 | 57 | 2015 |
| A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification SY Wong, KS Yap, HJ Yap, SC Tan Neural Processing Letters 42 (3), 585-602, 2015 | 26 | 2015 |
| A Constrained Optimization based Extreme Learning Machine for noisy data regression SY Wong, KS Yap, HJ Yap Neurocomputing 171, 1431-1443, 2016 | 22 | 2016 |
| Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection KS Yap, SY Wong, SK Tiong 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation …, 2013 | 11 | 2013 |
| Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection SKT SY Wong, KS Yap 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013 | 11 | 2013 |
| Throughput measurement in 4G wireless data networks: Performance evaluation and validation S Abolfazli, Z Sanaei, SY Wong, A Tabassi, S Rosen 2015 IEEE Symposium on Computer Applications & Industrial Electronics …, 2015 | 9 | 2015 |
| Genetic algorithm fuzzy logic for medical knowledge-based pattern classification CH Tan, MS Tan, SW Chang, KS Yap, HJ Yap, SY Wong Journal of Engineering Science and Technology 13, 242-258, 2018 | 4 | 2018 |
| A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant MA Bunyamin, KS Yap, NLAA Aziz, SK Tiong, SY Wong, MF Kamal IOP Conference Series: Earth and Environmental Science 16 (1), 012101, 2013 | 4 | 2013 |
| Realization of a hybrid locally connected extreme learning machine with DeepID for face verification SY Wong, KS Yap, Q Zhai, X Li IEEE Access 7, 70447-70460, 2019 | 3 | 2019 |
| Classification of the harmonic load types using multi-layer extreme learning machine SY Wong IET International Conference on Clean Energy and Technology, 2019 | 3 | 2019 |
| Constrained–Optimization-based Bayesian posterior probability extreme learning machine for pattern classification SY Wong, KS Yap, HJ Yap International Conference on Neural Information Processing, 466-473, 2014 | 3 | 2014 |
| Constrained–Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification SY Wong, KS Yap, HJ Yap International Conference on Neural Information Processing, 466-473, 2014 | 3 | 2014 |
| A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy SY Leow, SY Wong, KS Yap, HJ Yap 2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC), 17-21, 2016 | 2 | 2016 |
| Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network SY Wong, KS Yap, CP Lim, EWM Lee IEEE Access 7, 116438-116452, 2019 | 1 | 2019 |
| A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification SY Leow, SY Wong, KS Yap, HJ Yap Intelligent Decision Technologies 13 (1), 81-89, 2019 | 1 | 2019 |
| A genetic algorithm based fuzzy inference system for pattern classification and rule extraction SY Wong, KS Yap, X Li International Journal of Engineering and Technology (UAE) 7 (4), 361-368, 2018 | 1 | 2018 |
| An ELM based multi-agent system and its applications to power generation CT Yaw, SY Wong, KS Yap, HJ Yap, UAU Amirulddin, SC Tan Intelligent Decision Technologies 12 (2), 163-171, 2018 | 1 | 2018 |
| A study on Arrhythmia via ECG Signal Classification using the Convolutional Neural Network S Y Wong, M Wu, Y Lu, W Yang Frontiers in Computational Neuroscience, 2020 | | 2020 |
| A New Probabilistic Output Constrained Optimization Extreme Learning Machine SY Wong IEEE Access, 2020 | | 2020 |
| Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System SY Wong IEEE Journal, 2020 | | 2020 |
