Follow
Ruilin Li
Title
Cited by
Cited by
Year
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
J Cui, Z Lan, Y Liu, R Li, F Li, O Sourina, W Müller-Wittig
Methods 202, 173-184, 2022
582022
Subject matching for cross-subject EEG-based recognition of driver states related to situation awareness
R Li, L Wang, O Sourina
Methods 202, 136-143, 2022
322022
A hierarchical framework for collaborative probabilistic semantic mapping
Y Yue, C Zhao, R Li, C Yang, J Zhang, M Wen, Y Wang, D Wang
2020 IEEE international conference on robotics and automation (ICRA), 9659-9665, 2020
302020
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
292023
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
R Li, R Gao, PN Suganthan
Information Sciences 624, 833-848, 2023
272023
Sample-based data augmentation based on electroencephalogram intrinsic characteristics
R Li, L Wang, PN Suganthan, O Sourina
IEEE Journal of Biomedical and Health Informatics 26 (10), 4996-5003, 2022
212022
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
112023
EEG-based recognition of driver state related to situation awareness using graph convolutional networks
R Li, Z Lan, J Cui, O Sourina, L Wang
2020 International Conference on Cyberworlds (CW), 180-187, 2020
82020
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
72023
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
42023
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces
J Cui, L Yuan, Z Wang, R Li, T Jiang
Frontiers in Computational Neuroscience 17, 2023
42023
Probabilistic 3d semantic map fusion based on bayesian rule
Y Yue, R Li, C Zhao, C Yang, J Zhang, M Wen, G Peng, Z Wu, D Wang
2019 IEEE International Conference on Cybernetics and Intelligent Systems …, 2019
42019
A spectral-ensemble deep random vector functional link network for passive brain–computer interface
R Li, R Gao, PN Suganthan, J Cui, O Sourina, L Wang
Expert Systems with Applications 227, 120279, 2023
32023
Data privacy protection domain adaptation by roughing and finishing stage
L Yuan, M Erdt, R Li, MY Siyal
The Visual Computer, 1-18, 2023
32023
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation
R Li, M Hu, J Cui, L Wang, O Sourina
International Conference on Neural Information Processing, 500-511, 2023
12023
Benchmarking EEG-based cross-dataset driver drowsiness recognition with deep transfer learning
J Cui, L Yuan, R Li, Z Wang, D Yang, T Jiang
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
12023
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition
R Li, R Gao, J Cui, PN Suganthan, O Sourina
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 300-307, 2022
12022
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
R Li, J Cui, R Gao, PN Suganthan, O Sourina, L Wang, CH Chen
2022 International Conference on Cyberworlds (CW), 209-212, 2022
12022
Entropy-guided robust feature domain adaptation for eeg-based cross-dataset drowsiness recognition
Y Liqiang, R Li, J Cui, SY Mohammed
Available at SSRN 4274381, 2022
12022
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers
Z Li, R Li, L Yuan, J Cui, F Li
Engineering Applications of Artificial Intelligence 129, 107660, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20