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2010 – 2019
- 2018
[j3]Neelava Sengupta
, Carolyn B. McNabb, Nikola K. Kasabov, Bruce Russell:
Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5249-5263 (2018)- 2017
- [j2]Neelava Sengupta, Nikola K. Kasabov:
Spike-time encoding as a data compression technique for pattern recognition of temporal data. Inf. Sci. 406: 133-145 (2017) - 2016
- [j1]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) - [c3]Amit Soni Arya, Vadlamani Ravi, Vadali Tejasviram, Neelava Sengupta, Nikola K. Kasabov:
Cyber fraud detection using evolving spiking neural network. ICIIS 2016: 263-268 - [c2]Anne Abbott, Neelava Sengupta, Nikola K. Kasabov:
Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture. IJCNN 2016: 1367-1372 - [c1]Nikola K. Kasabov, Neelava Sengupta, Nathan Matthew Scott:
From von neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine. IEEE Conf. on Intelligent Systems 2016: 15-21
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