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Enmei Tu(屠恩美)
Enmei Tu(屠恩美)
Data Scientist, Crown Research Institute of New Zealand
Dirección de correo verificada de sjtu.edu.cn - Página principal
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Citado por
Citado por
Año
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
2742017
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
1402016
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
1252015
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
1022016
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
662016
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
522014
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
392014
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
382016
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
252016
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
222020
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
212014
Semi-supervised classification with pairwise constraints
C Gong, K Fu, Q Wu, E Tu, J Yang
Neurocomputing 139, 130-137, 2014
202014
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
182014
A review of semi supervised learning theories and recent advances
E Tu, J Yang
arXiv preprint arXiv:1905.11590, 2019
172019
Remote sensing image automatic registration on multi-scale harris-laplacian
W Weixing, C Ting, L Sheng, T Enmei
Journal of the Indian Society of Remote Sensing 43, 501-511, 2015
152015
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
142019
A spatio-temporal fully convolutional network for breast lesion segmentation in DCE-MRI
M Chen, H Zheng, C Lu, E Tu, J Yang, N Kasabov
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
142018
Posterior distribution learning (pdl): A novel supervised learning framework using unlabeled samples to improve classification performance
E Tu, J Yang, N Kasabov, Y Zhang
Neurocomputing 157, 173-186, 2015
122015
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
112021
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
112021
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Artículos 1–20