Bayesian optimization based dynamic ensemble for time series forecasting L Du, R Gao, PN Suganthan, DZW Wang Information Sciences 591, 155-175, 2022 | 121 | 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 | 79 | 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 | 65 | 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 | 56 | 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 | 49 | 2020 |
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 | 45 | 2023 |
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 | 45 | 2021 |
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition R Li, R Gao, PN Suganthan Information Sciences 624, 833-848, 2023 | 43 | 2023 |
Parsimonious fuzzy time series modelling R Gao, O Duru Expert Systems with Applications 156, 113447, 2020 | 41 | 2020 |
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 | 25 | 2023 |
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 | 24 | 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 | 21 | 2022 |
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 | 20 | 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 | 19 | 2022 |
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 | 18 | 2024 |
High-dimensional lag structure optimization of fuzzy time series R Gao, O Duru, KF Yuen Expert Systems with Applications 173, 114698, 2021 | 18 | 2021 |
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 | 17 | 2022 |
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons C Zhao, RW Liu, J Qu, R Gao Engineering Applications of Artificial Intelligence 128, 107513, 2024 | 15 | 2024 |
Graph ensemble deep random vector functional link network for traffic forecasting L Du, R Gao, PN Suganthan, DZW Wang Applied Soft Computing 131, 109809, 2022 | 14 | 2022 |
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 | 14 | 2022 |