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2020 – today
- 2024
[j31]Ruilin Li
, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62: 102575 (2024)- [j30]Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
Recurrent ensemble random vector functional link neural network for financial time series forecasting. Appl. Soft Comput. 161: 111759 (2024) - [j29]Heng Dong, Ruobin Gao, Jiazhe Li, Xiaojie Fang, Xuejun Sha, Zhuoming Li:
Physical layer security communication for IoT-aided intelligent transport systems: An approach in WFRFT signal domain. Comput. Electr. Eng. 118: 109309 (2024) - [j28]Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao:
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. Eng. Appl. Artif. Intell. 128: 107513 (2024) - [j27]Ruke Cheng, Ruobin Gao, Kum Fai Yuen:
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network. Eng. Appl. Artif. Intell. 133: 108139 (2024) - [j26]Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong:
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Inf. Fusion 102: 102067 (2024) - [j25]Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du:
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowl. Based Syst. 284: 111313 (2024) - [j24]Jiangfan Zhang, Yan Zhang, Zhiguang Shi, Yu Zhang, Ruobin Gao:
Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation. Remote. Sens. 16(14): 2590 (2024) - [j23]Minghui Hu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
Self-Distillation for Randomized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16119-16128 (2024) - [j22]Xuewen Luo, Ruobin Gao, Hsiao-Hwa Chen, Shuyi Chen, Qing Guo, Ponnuthurai Nagaratnam Suganthan:
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion. IEEE Wirel. Commun. 31(2): 117-125 (2024) - [c11]Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti:
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. AAMAS 2024: 1956-1965 - [c10]Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. IJCNN 2024: 1-8 - [c9]Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN 2024: 1-8 - [i6]Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang:
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. CoRR abs/2407.11084 (2024) - [i5]Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan:
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR abs/2407.13264 (2024) - 2023
- [j21]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan:
Random vector functional link network: Recent developments, applications, and future directions. Appl. Soft Comput. 143: 110377 (2023) - [j20]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117(Part): 105535 (2023) - [j19]Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina:
An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. 123(Part A): 106237 (2023) - [j18]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang:
A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. 227: 120279 (2023) - [j17]Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624: 833-848 (2023) - [j16]Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel:
Low-rank and global-representation-key-based attention for graph transformer. Inf. Sci. 642: 119108 (2023) - [j15]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166: 51-69 (2023) - [j14]Sibo Yang, Neha P. Garg, Ruobin Gao, Meng Yuan, Bernardo Noronha, Wei Tech Ang, Dino Accoto:
Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots. Sensors 23(6): 2998 (2023) - [c8]Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen:
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection. ICONIP (13) 2023: 189-202 - [c7]Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang:
Online ensemble deep random vector functional link for the assistive robots. IJCNN 2023: 1-8 - [i4]Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao:
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons. CoRR abs/2311.07955 (2023) - 2022
- [j13]Jixian Mo, Ruobin Gao, Jiahui Liu, Liang Du, Kum Fai Yuen:
Annual dilated convolutional LSTM network for time charter rate forecasting. Appl. Soft Comput. 126: 109259 (2022) - [j12]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Graph ensemble deep random vector functional link network for traffic forecasting. Appl. Soft Comput. 131: 109809 (2022) - [j11]Ruobin Gao, Jiahui Liu, Qin Zhou, Okan Duru, Kum Fai Yuen:
Newbuilding ship price forecasting by parsimonious intelligent model search engine. Expert Syst. Appl. 201: 117119 (2022) - [j10]Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen:
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Syst. Appl. 206: 117784 (2022) - [j9]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514: 137-147 (2022) - [j8]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Bayesian optimization based dynamic ensemble for time series forecasting. Inf. Sci. 591: 155-175 (2022) - [j7]Ruobin Gao, Jiahui Liu, Xiwen Bai, Kum Fai Yuen:
Annual dilated convolution neural network for newbuilding ship prices forecasting. Neural Comput. Appl. 34(14): 11853-11863 (2022) - [j6]Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning. IEEE J. Biomed. Health Informatics 26(10): 4966-4975 (2022) - [c6]Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen:
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. CW 2022: 209-212 - [c5]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. IJCNN 2022: 1-7 - [c4]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan:
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN 2022: 1-8 - [c3]Sibo Yang, Ruobin Gao, Lei Li, Wei Tech Ang:
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison. IJCNN 2022: 1-8 - [c2]Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer:
Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI 2022: 277-284 - [c1]Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina:
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. SSCI 2022: 300-307 - [i3]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR abs/2203.09477 (2022) - [i2]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Random vector functional link network: recent developments, applications, and future directions. CoRR abs/2203.11316 (2022) - 2021
- [j5]Ruobin Gao, Liang Du, Okan Duru, Kum Fai Yuen:
Time series forecasting based on echo state network and empirical wavelet transformation. Appl. Soft Comput. 102: 107111 (2021) - [j4]Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan:
Walk-forward empirical wavelet random vector functional link for time series forecasting. Appl. Soft Comput. 108: 107450 (2021) - [j3]Ruobin Gao, Okan Duru, Kum Fai Yuen:
High-dimensional lag structure optimization of fuzzy time series. Expert Syst. Appl. 173: 114698 (2021) - [i1]Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen:
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR abs/2107.14385 (2021) - 2020
- [j2]Ruobin Gao, Liang Du, Kum Fai Yuen:
Robust empirical wavelet fuzzy cognitive map for time series forecasting. Eng. Appl. Artif. Intell. 96: 103978 (2020) - [j1]Ruobin Gao, Okan Duru:
Parsimonious fuzzy time series modelling. Expert Syst. Appl. 156: 113447 (2020)
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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last updated on 2024-11-11 21:30 CET by the dblp team
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