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Enmei Tu
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2020 – today
- 2023
- [j17]Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
:
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. 14(12): 15609-15617 (2023) - [j16]Nikola K. Kasabov
, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu
, Jie Yang
, Wilson Wen Bin Goh, Jimmy Lee
:
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. IEEE Trans. Fuzzy Syst. 31(12): 4542-4552 (2023) - 2022
- [j15]Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik:
Multi-Stream 3D latent feature clustering for abnormality detection in videos. Appl. Intell. 52(1): 1126-1143 (2022) - [j14]Mujtaba Asad
, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik:
Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2255002:1-2255002:25 (2022) - [j13]Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov
:
Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks 146: 350-360 (2022) - [j12]Emrecan Altinsoy
, Jie Yang, Enmei Tu:
An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network. Vis. Comput. 38(6): 2139-2152 (2022) - [c17]Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang:
Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. DMBD (1) 2022: 383-393 - [c16]Xiao Han, Enmei Tu, Jie Yang:
Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection. DSIT 2022: 1-6 - [c15]Shuai Tang, Enmei Tu, Jie Yang:
Boosting Graph Convolutional Networks with Semi-supervised Training. ICONIP (1) 2022: 537-548 - 2021
- [j11]Mujtaba Asad
, Jie Yang, Enmei Tu, Liming Chen, Xiangjian He
:
Anomaly3D: Video anomaly detection based on 3D-normality clusters. J. Vis. Commun. Image Represent. 75: 103047 (2021) - [c14]Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang:
Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP 2021: 1135-1139 - [c13]Zihao Wang, Enmei Tu, Zhicheng Lee:
Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. IJCNN 2021: 1-8 - [c12]Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang:
Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. IJCNN 2021: 1-8 - 2020
- [c11]Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong:
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR 2020: 9988-9995 - [i10]Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang:
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR abs/2001.01592 (2020) - [i9]Zihao Wang, Enmei Tu, Zhou Meng:
End-To-End Graph-based Deep Semi-Supervised Learning. CoRR abs/2002.09891 (2020) - [i8]Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang:
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR abs/2003.08539 (2020)
2010 – 2019
- 2019
- [j10]Maryam Gholami Doborjeh, Nikola K. Kasabov
, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
:
Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks 119: 162-177 (2019) - [c10]Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana
, Jie Yang:
Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. ICONIP (3) 2019: 597-607 - [i7]Enmei Tu, Jie Yang:
A Review of Semi Supervised Learning Theories and Recent Advances. CoRR abs/1905.11590 (2019) - [i6]Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection. CoRR abs/1912.09147 (2019) - 2018
- [j9]Enmei Tu
, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
:
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. IEEE Trans. Intell. Transp. Syst. 19(5): 1559-1582 (2018) - [c9]Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao
, Jie Yang:
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) 2018: 12-20 - [c8]Lu Wang
, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov
:
Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) 2018: 256-267 - [c7]Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
:
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) 2018: 358-368 - 2017
- [j8]Enmei Tu, Nikola K. Kasabov
, Jie Yang:
Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1305-1317 (2017) - [c6]Guanghao Zhang, Enmei Tu, Dongshun Cui:
Stable and improved generative adversarial nets (GANS): A constructive survey. ICIP 2017: 1871-1875 - [c5]Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang
:
A theoretical study of the relationship between an ELM network and its subnetworks. IJCNN 2017: 1794-1801 - 2016
- [j7]Enmei Tu, Yaqian Zhang
, Lin Zhu, Jie Yang, Nikola K. Kasabov
:
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification. Inf. Sci. 367-368: 673-688 (2016) - [j6]Nikola K. Kasabov
, Nathan Matthew Scott, Enmei Tu, Stefan Marks
, Neelava Sengupta, Elisa Capecci
, Muhaini Othman
, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos
, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang
, Denise Taylor
, Valery Feigin
, Sergei Gulyaev
, Mahmoud S. Mahmoud
, Zeng-Guang Hou, Jie Yang:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78: 1-14 (2016) - [i5]Enmei Tu, Nikola K. Kasabov, Jie Yang:
Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data. CoRR abs/1603.05594 (2016) - [i4]Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang:
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR abs/1606.00981 (2016) - [i3]Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov:
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification. CoRR abs/1606.00985 (2016) - [i2]Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang:
An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. CoRR abs/1607.03306 (2016) - [i1]Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang:
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. CoRR abs/1610.09608 (2016) - 2015
- [j5]Enmei Tu, Jie Yang, Nikola K. Kasabov
, Yaqian Zhang
:
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance. Neurocomputing 157: 173-186 (2015) - [j4]Chen Gong, Tongliang Liu
, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang:
Deformed Graph Laplacian for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2261-2274 (2015) - 2014
- [j3]Chen Gong, Keren Fu, Qiang Wu
, Enmei Tu, Jie Yang:
Semi-supervised classification with pairwise constraints. Neurocomputing 139: 130-137 (2014) - [j2]Enmei Tu, Longbing Cao
, Jie Yang, Nikola K. Kasabov
:
A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing 143: 109-122 (2014) - [c4]Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov:
Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. ICONIP (1) 2014: 86-94 - [c3]Enmei Tu, Nikola K. Kasabov
, Muhaini Othman
, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia:
NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data. IJCNN 2014: 638-645 - [c2]Muhaini Othman
, Nikola K. Kasabov
, Enmei Tu, Valery Feigin
, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu:
Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. IJCNN 2014: 3197-3204 - [c1]Denise Taylor
, Nathan Matthew Scott, Nikola K. Kasabov
, Elisa Capecci
, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou:
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN 2014: 3221-3225 - 2013
- [j1]Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He:
Robust object tracking using linear neighborhood propagation. J. Electronic Imaging 22(1): 013015 (2013)
Coauthor Index
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