Suivre
Ruobin Gao
Ruobin Gao
Research fellow, Nanyang Technological University
Adresse e-mail validée de e.ntu.edu.sg - Page d'accueil
Titre
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Année
Bayesian optimization based dynamic ensemble for time series forecasting
L Du, R Gao, PN Suganthan, DZW Wang
Information Sciences 591, 155-175, 2022
1532022
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
1102023
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
792021
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
692022
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
R Li, R Gao, PN Suganthan
Information Sciences 624, 833-848, 2023
572023
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
552023
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
522021
Robust empirical wavelet fuzzy cognitive map for time series forecasting
R Gao, L Du, KF Yuen
Engineering Applications of Artificial Intelligence 96, 103978, 2020
522020
Parsimonious fuzzy time series modelling
R Gao, O Duru
Expert Systems with Applications 156, 113447, 2020
442020
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
372022
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
312023
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
302024
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
302023
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
272024
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
262022
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
222022
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
212023
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
212022
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
202023
High-dimensional lag structure optimization of fuzzy time series
R Gao, O Duru, KF Yuen
Expert Systems with Applications 173, 114698, 2021
202021
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