Enmei Tu

According to our database, Enmei Tu authored at least 42 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data.

Nikola K. Kasabov, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee

IEEE Trans. Fuzzy Syst., December, 2023

Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network.

Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov

J. Ambient Intell. Humaniz. Comput., December, 2023

2022

An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network.

Emrecan Altinsoy, Jie Yang, Enmei Tu

Vis. Comput., 2022

Deep semi-supervised learning via dynamic anchor graph embedding in latent space.

Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov

Neural Networks, 2022

Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization.

Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik

Int. J. Pattern Recognit. Artif. Intell., 2022

Multi-Stream 3D latent feature clustering for abnormality detection in videos.

Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik

Appl. Intell., 2022

Boosting Graph Convolutional Networks with Semi-supervised Training.

Shuai Tang, Enmei Tu, Jie Yang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection.

Xiao Han, Enmei Tu, Jie Yang

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification.

Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang

Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021

Anomaly3D: Video anomaly detection based on 3D-normality clusters.

Mujtaba Asad, Jie Yang, Enmei Tu, Liming Chen, Xiangjian He

J. Vis. Commun. Image Represent., 2021

Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization.

Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning.

Zihao Wang, Enmei Tu, Zhicheng Lee

Proceedings of the International Joint Conference on Neural Networks, 2021

Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence.

Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention.

Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang

CoRR, 2020

End-To-End Graph-based Deep Semi-Supervised Learning.

Zihao Wang, Enmei Tu, Zhou Meng

CoRR, 2020

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment.

Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang

CoRR, 2020

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.

Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Personalised modelling with spiking neural networks integrating temporal and static information.

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi

Neural Networks, 2019

A Review of Semi Supervised Learning Theories and Recent Advances.

Enmei Tu, Jie Yang

CoRR, 2019

Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection.

Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

IEEE Trans. Intell. Transp. Syst., 2018

Discrete Sparse Hashing for Cross-Modal Similarity Search.

Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI.

Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization.

Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data.

Enmei Tu, Nikola K. Kasabov, Jie Yang

IEEE Trans. Neural Networks Learn. Syst., 2017

A theoretical study of the relationship between an ELM network and its subnetworks.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Stable and improved generative adversarial nets (GANS): A constructive survey.

Guanghao Zhang, Enmei Tu, Dongshun Cui

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

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

Neural Networks, 2016

A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification.

Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov

Inf. Sci., 2016

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data.

Enmei Tu, Nikola K. Kasabov, Jie Yang

CoRR, 2016

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining.

Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

2015

Deformed Graph Laplacian for Semisupervised Learning.

Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang

IEEE Trans. Neural Networks Learn. Syst., 2015

Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance.

Enmei Tu, Jie Yang, Nikola K. Kasabov, Yaqian Zhang

Neurocomputing, 2015

2014

A novel graph-based k-means for nonlinear manifold clustering and representative selection.

Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov

Neurocomputing, 2014

Semi-supervised classification with pairwise constraints.

Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang

Neurocomputing, 2014

NeuCube^(ST) for spatio-temporal data predictive modelling with a case study on ecological data.

Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications.

Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data.

Muhaini Othman, Nikola K. Kasabov, Enmei Tu, Valery Feigin, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework.

Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Robust object tracking using linear neighborhood propagation.

Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He

J. Electronic Imaging, 2013