| Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology E Tu, G Zhang, L Rachmawati, E Rajabally, GB Huang IEEE Transactions on Intelligent Transportation Systems, 2017 | 465 | 2017 |
| Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78, 1-14, 2016 | 189 | 2016 |
| An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining S Mao, E Tu, G Zhang, L Rachmawati, E Rajabally, GB Huang The 7th International Conference on Extreme Learning Machine (ELM2016), 2016 | 154 | 2016 |
| Deformed graph Laplacian for semisupervised learning C Gong, T Liu, D Tao, K Fu, E Tu, J Yang IEEE transactions on neural networks and learning systems 26 (10), 2261-2274, 2015 | 138 | 2015 |
| Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data E Tu, N Kasabov, J Yang IEEE Transactions on Neural Networks and Learning Systems, 2016 | 76 | 2016 |
| A novel graph-based k-means for nonlinear manifold clustering and representative selection E Tu, L Cao, J Yang, N Kasabov Neurocomputing 143, 109-122, 2014 | 68 | 2014 |
| Modeling historical AIS data for vessel path prediction: A comprehensive treatment E Tu, G Zhang, S Mao, L Rachmawati, GB Huang arXiv preprint arXiv:2001.01592, 2020 | 54 | 2020 |
| A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification E Tu, Y Zhang, L Zhu, J Yang, N Kasabov Information Sciences 367, 673-688, 2016 | 51 | 2016 |
| From Malthus to sustainable energy—Theoretical orientations to reforming the energy sector P Peura Renewable and Sustainable Energy Reviews 19, 309-327, 2013 | 44 | 2013 |
| NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data E Tu, N Kasabov, M Othman, Y Li, S Worner, J Yang, Z Jia 2014 international joint conference on neural networks (IJCNN), 638-645, 2014 | 43 | 2014 |
| Anomaly3D: Video anomaly detection based on 3D-normality clusters M Asad, J Yang, E Tu, L Chen, X He Journal of Visual Communication and Image Representation 75, 103047, 2021 | 38 | 2021 |
| Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78 (2016)), 1-14, 2016 | 35 | 2016 |
| Infrared super-resolution imaging using multi-scale saliency and deep wavelet residuals G Suryanarayana, E Tu, J Yang Infrared Physics & Technology 97, 177-186, 2019 | 26 | 2019 |
| Multi-Stream 3D latent feature clustering for abnormality detection in videos M Asad, H Jiang, J Yang, E Tu, AA Malik Applied Intelligence, 1-18, 2022 | 25 | 2022 |
| Semi-supervised skin lesion segmentation with learning model confidence Z Xie, E Tu, H Zheng, Y Gu, J Yang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 23 | 2021 |
| Semi-supervised classification with pairwise constraints C Gong, K Fu, Q Wu, E Tu, J Yang Neurocomputing 139, 130-137, 2014 | 22 | 2014 |
| Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data M Othman, N Kasabov, E Tu, V Feigin, R Krishnamurthi, Z Hou, Y Chen, ... 2014 international joint conference on neural networks (IJCNN), 3197-3204, 2014 | 22 | 2014 |
| Feasibility of neucube snn architecture for detecting motor execution and motor intention for use in bciapplications D Taylor, N Scott, N Kasabov, E Capecci, E Tu, N Saywell, Y Chen, J Hu, ... 2014 International Joint Conference on Neural Networks (IJCNN), 3221-3225, 2014 | 21 | 2014 |
| Deep semi-supervised learning via dynamic anchor graph embedding in latent space E Tu, Z Wang, J Yang, N Kasabov Neural Networks 146, 350-360, 2022 | 20 | 2022 |
| Transfer learning of fuzzy spatio-temporal rules in a brain-inspired spiking neural network architecture: a case study on spatio-temporal Brain Data NK Kasabov, Y Tan, M Doborjeh, E Tu, J Yang, W Goh, J Lee IEEE Transactions on Fuzzy Systems 31 (12), 4542-4552, 2023 | 19 | 2023 |
Jie YangShanghai Jiao Tong University在 sjtu.edu.cn 的電子郵件地址已通過驗證
