| Bayesian optimization based dynamic ensemble for time series forecasting L Du, R Gao, PN Suganthan, DZW Wang Information Sciences 591, 155-175, 2022 | 108 | 2022 |
| Random vector functional link network: recent developments, applications, and future directions AK Malik, R Gao, MA Ganaie, M Tanveer, PN Suganthan Applied Soft Computing 143, 110377, 2023 | 62 | 2023 |
| Time series forecasting based on echo state network and empirical wavelet transformation R Gao, L Du, O Duru, KF Yuen Applied Soft Computing 102, 107111, 2021 | 57 | 2021 |
| Random vector functional link neural network based ensemble deep learning for short-term load forecasting R Gao, L Du, PN Suganthan, Q Zhou, KF Yuen Expert Systems with Applications 206, 117784, 2022 | 48 | 2022 |
| Robust empirical wavelet fuzzy cognitive map for time series forecasting R Gao, L Du, KF Yuen Engineering Applications of Artificial Intelligence 96, 103978, 2020 | 45 | 2020 |
| Walk-forward empirical wavelet random vector functional link for time series forecasting R Gao, L Du, KF Yuen, PN Suganthan Applied Soft Computing 108, 107450, 2021 | 40 | 2021 |
| Parsimonious fuzzy time series modelling R Gao, O Duru Expert Systems with Applications 156, 113447, 2020 | 40 | 2020 |
| A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition R Li, R Gao, PN Suganthan Information Sciences 624, 833-848, 2023 | 38 | 2023 |
| Dynamic ensemble deep echo state network for significant wave height forecasting R Gao, R Li, M Hu, PN Suganthan, KF Yuen Applied Energy 329, 120261, 2023 | 35 | 2023 |
| Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning R Gao, R Li, M Hu, PN Suganthan, KF Yuen Engineering Applications of Artificial Intelligence 117, 105535, 2023 | 19 | 2023 |
| Automated layer-wise solution for ensemble deep randomized feed-forward neural network M Hu, R Gao, PN Suganthan, M Tanveer Neurocomputing 514, 137-147, 2022 | 18 | 2022 |
| EEG-based emotion recognition using random Convolutional Neural Networks WX Cheng, R Gao, PN Suganthan, KF Yuen Engineering applications of artificial intelligence 116, 105349, 2022 | 18 | 2022 |
| High-dimensional lag structure optimization of fuzzy time series R Gao, O Duru, KF Yuen Expert Systems with Applications 173, 114698, 2021 | 17 | 2021 |
| Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion X Luo, R Gao, HH Chen, S Chen, Q Guo, PN Suganthan IEEE Wireless Communications 31 (2), 117-125, 2022 | 16 | 2022 |
| Online dynamic ensemble deep random vector functional link neural network for forecasting R Gao, R Li, M Hu, PN Suganthan, KF Yuen Neural Networks 166, 51-69, 2023 | 13 | 2023 |
| Inpatient discharges forecasting for Singapore hospitals by machine learning R Gao, WX Cheng, PN Suganthan, KF Yuen IEEE Journal of Biomedical and Health Informatics 26 (10), 4966-4975, 2022 | 12 | 2022 |
| A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm Z Wang, R Gao, P Wang, H Chen Technological Forecasting and Social Change 191, 122504, 2023 | 11 | 2023 |
| Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data M Liang, L Weng, R Gao, Y Li, L Du Knowledge-Based Systems 284, 111313, 2024 | 10 | 2024 |
| Newbuilding ship price forecasting by parsimonious intelligent model search engine R Gao, J Liu, Q Zhou, O Duru, KF Yuen Expert Systems with Applications 201, 117119, 2022 | 10 | 2022 |
| An enhanced ensemble deep random vector functional link network for driver fatigue recognition R Li, R Gao, L Yuan, PN Suganthan, L Wang, O Sourina Engineering Applications of Artificial Intelligence 123, 106237, 2023 | 9 | 2023 |
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UK在 qu.edu.qa 的电子邮件经过验证
