Ruobin Gao

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R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Center for Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Kum Fai YuenAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Liang DuNanyang Technological UniversityVerified email at e.ntu.edu.sg
Ruilin LiNanyang Technological UniversityVerified email at e.ntu.edu.sg
Minghui HuNanyang Technological UniversityVerified email at e.ntu.edu.sg
Okan DuruDirector of Research, Ocean DynamexVerified email at oceandynamex.com
Qin ZhouUniversity of Southampton, United KingdomVerified email at e.ntu.edu.sg
M. Tanveer, INSA Associate FellowAssociate Professor and Ramanujan Fellow, IIT Indore (Some codes are available at GitHub.)Verified email at iiti.ac.in
David Z.W. WangNanyang Technological UniversityVerified email at ntu.edu.sg
Ashwani Kumar MalikDepartment of Mathematics, IIT IndoreVerified email at iiti.ac.in
Dr. Mudasir Ahmad GanaieUniversity of Michigan, Ann Arbor, USAVerified email at umich.edu
Lipo WangNanyang Technological UniversityVerified email at ntu.edu.sg
Wei Tech AngAssociate Professor, Mechanical & Aerospace Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Jian CuiPI, Zhejiang LabVerified email at zhejianglab.com
Jixian MoNanyang Technological UniversityVerified email at e.ntu.edu.sg
Meng YuanChalmers University of TechnologyVerified email at chalmers.se
Maohan LiangResearch Fellow, National University of SingaporeVerified email at nus.edu.sg
Jiahui LiuNanyang Technological UniversityVerified email at e.ntu.edu.sg
Dino AccotoProfessor, KU LeuvenVerified email at kuleuven.be
Bernardo NoronhaNanyang Technological UniversityVerified email at e.ntu.edu.sg

Ruobin Gao

Research fellow, Nanyang Technological University

Verified email at e.ntu.edu.sg - Homepage

time series machine learning biosignal


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Bayesian optimization based dynamic ensemble for time series forecasting L Du, R Gao, PN Suganthan, DZW Wang Information Sciences 591, 155-175, 2022	97	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, 110377, 2023	53	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	53	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	42	2022
Parsimonious fuzzy time series modelling R Gao, O Duru Expert Systems with Applications 156, 113447, 2020	41	2020
Robust empirical wavelet fuzzy cognitive map for time series forecasting R Gao, L Du, KF Yuen Engineering Applications of Artificial Intelligence 96, 103978, 2020	39	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	38	2021
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	33	2023
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition R Li, R Gao, PN Suganthan Information Sciences 624, 833-848, 2023	30	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	16	2023
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	16	2022
High-dimensional lag structure optimization of fuzzy time series R Gao, O Duru, KF Yuen Expert Systems with Applications 173, 114698, 2021	15	2021
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	14	2022
Multi-modal and multi-user semantic communications for channel-level information fusion X Luo, R Gao, HH Chen, S Chen, Q Guo, PN Suganthan IEEE Wireless Communications, 2022	13	2022
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
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	10	2023
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	9	2022
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	8	2022
Learning-based motion-intention prediction for end-point control of upper-limb-assistive robots S Yang, NP Garg, R Gao, M Yuan, B Noronha, WT Ang, D Accoto Sensors 23 (6), 2998, 2023	7	2023

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