Enmei Tu
Orcid: 0000-0001-6390-2608
According to our database1,
Enmei Tu
authored at least 42 papers
between 2013 and 2023.
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Bibliography
2023
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., December, 2023
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network.
J. Ambient Intell. Humaniz. Comput., December, 2023
2022
An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network.
Vis. Comput., 2022
Neural Networks, 2022
Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization.
Int. J. Pattern Recognit. Artif. Intell., 2022
Appl. Intell., 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022
Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
2021
J. Vis. Commun. Image Represent., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention.
CoRR, 2020
CoRR, 2020
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Personalised modelling with spiking neural networks integrating temporal and static information.
Neural Networks, 2019
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.
IEEE Trans. Intell. Transp. Syst., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
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.
IEEE Trans. Neural Networks Learn. Syst., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
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.
Neural Networks, 2016
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification.
Inf. Sci., 2016
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks.
CoRR, 2016
CoRR, 2016
Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data.
CoRR, 2016
An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining.
CoRR, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance.
Neurocomputing, 2015
2014
A novel graph-based k-means for nonlinear manifold clustering and representative selection.
Neurocomputing, 2014
NeuCube<sup>(ST)</sup> for spatio-temporal data predictive modelling with a case study on ecological data.
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.
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.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
J. Electronic Imaging, 2013