| 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 | 78 | 2015 |
| 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 | 74 | 2016 |
| 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, 2016 | 63* | 2016 |
| 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 | 48 | 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 | 37 | 2014 |
| 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 | 31 | 2016 |
| 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 | 31 | 2014 |
| 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 | 22 | 2016 |
| Semi-supervised classification with pairwise constraints C Gong, K Fu, Q Wu, E Tu, J Yang Neurocomputing 139, 130-137, 2014 | 17 | 2014 |
| 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 Netw 78, 1-14, 2016 | 14 | 2016 |
| 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 | 13 | 2014 |
| 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 | 11 | 2015 |
| 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 (3), 501-511, 2015 | 9 | 2015 |
| 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 | 9 | 2014 |
| An experimental comparison of semi-supervised learning algorithms for multispectral image classification E Tu, J Yang, J Fang, Z Jia, N Kasabov Photogrammetric Engineering & Remote Sensing 79 (4), 347-357, 2013 | 7 | 2013 |
| Efficient multiresolution level set image segmentation with multiple regions J Fang, J Yang, E Tu, Z Jia, NK Kasabov Optical Engineering 50 (6), 067005, 2011 | 5 | 2011 |
| Statistical approaches to automatic level set image segmentation with multiple regions J Fang, J Yang, E Tu, Z Jia, NK Kasabov, C Liu Optical Engineering 50 (10), 107001, 2011 | 3 | 2011 |
| Multilayer level set method for multiregion image segmentation J Fang, J Yang, E Tu, Z Jia, NK Kasabov Optical Engineering 50 (6), 067013, 2011 | 3 | 2011 |
| 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 International Conference on Neural Information Processing, 358-368, 2018 | 2 | 2018 |
| From von Neumann Architecture and Atanasoffs ABC to Neuro-Morphic Computation and Kasabov’s NeuCube: Principles and Implementations N Sengupta, JIE Ramos, E Tu, S Marks, N Scott, J Weclawski, ... Learning Systems: From Theory to Practice, 1-28, 2018 | 2 | 2018 |
Nikola KasabovProfessor at Auckland University of TechnologyVerified email at aut.ac.nz
