| 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 | 215 | 2016 |
| Spike-time encoding as a data compression technique for pattern recognition of temporal data N Sengupta, N Kasabov Information Sciences 406, 133-145, 2017 | 55 | 2017 |
| Integrating space, time, and orientation in spiking neural networks: a case study on multimodal brain data modeling N Sengupta, CB McNabb, N Kasabov, BR Russell IEEE Transactions on neural Networks and Learning systems 29 (11), 5249-5263, 2018 | 48 | 2018 |
| 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 | 38 | 2016 |
| Framework for knowledge driven optimisation based data encoding for brain data modelling using spiking neural network architecture N Sengupta, N Scott, N Kasabov Proceedings of the fifth international conference on fuzzy and neuro …, 2015 | 22 | 2015 |
| Cyber fraud detection using evolving spiking neural network AS Arya, V Ravi, V Tejasviram, N Sengupta, N Kasabov 2016 11th international conference on industrial and information systems …, 2016 | 14 | 2016 |
| Application of intelligent techniques for classification of bacteria using protein sequence-derived features AK Banerjee, V Ravi, USN Murty, N Sengupta, B Karuna Applied biochemistry and biotechnology 170 (6), 1263-1281, 2013 | 14 | 2013 |
| From von Neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine N Kasabov, N Sengupta, N Scott 2016 IEEE 8th International Conference on Intelligent Systems (IS), 15-21, 2016 | 8 | 2016 |
| Which method to use for optimal structure and function representation of large spiking neural networks: a case study on the neucube architecture A Abbott, N Sengupta, N Kasabov 2016 international joint conference on neural networks (ijcnn), 1367-1372, 2016 | 6 | 2016 |
| From von Neumann Architecture and Atanasoff’s ABC to neuromorphic computation and Kasabov’s NeuCube. Part II: applications M Gholami Doborjeh, Z Gholami Doborjeh, AR Gollahalli, ... Practical Issues of Intelligent Innovations, 17-36, 2018 | 5 | 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 | 4 | 2018 |
| Neuromorphic computational models for machine learning and pattern recognition from multi-modal time-series data N Sengupta Unpublished doctoral dissertation). Auckland University of Technology.(http …, 2018 | 4 | 2018 |
| Stock market movement prediction using evolving spiking neural networks RR Khansama, VR Ravi, AR Gollahalli, NR Sengupta, NK Kasabov, ... | 4 | 2017 |
| Neuromorphic Computational Models for Machine Learning and Pattern Recognition from Multi-modal Time-series Data: A Thesis Submitted to Auckland University of Technology in … N Sengupta Auckland University of Technology, 2018 | | 2018 |
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Knowledgeengineering.ai, Auckland University of Technology; IICT Bulgarian Academy of SciencesVerified email at aut.ac.nz
