| 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 | 77 | 2022 |
| A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition R Li, R Gao, PN Suganthan Information Sciences 624, 833-848, 2023 | 41 | 2023 |
| 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 | 39 | 2022 |
| 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 | 38 | 2023 |
| 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 | 34 | 2020 |
| 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 | 32 | 2022 |
| 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 | 21 | 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 | 15 | 2023 |
| 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 | 10 | 2023 |
| 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 | 10 | 2020 |
| 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 | 7 | 2023 |
| Data privacy protection domain adaptation by roughing and finishing stage L Yuan, M Erdt, R Li, MY Siyal The Visual Computer 40 (2), 471-488, 2024 | 5 | 2024 |
| 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, 1232925, 2023 | 5 | 2023 |
| 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 | 4 | 2024 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
Olga SourinaHead of Cognitive HCI Lab, FraunhoferIDM@NTU Center, Nanyang Technological UniversityVerified email at ntu.edu.sg
