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Shaista Hussain
Shaista Hussain
Scientist at A*STAR Singapore
Verified email at ihpc.a-star.edu.sg
Title
Cited by
Cited by
Year
Improved margin multi-class classification using dendritic neurons with morphological learning
S Hussain, SC Liu, A Basu
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2640-2643, 2014
572014
High-content image generation for drug discovery using generative adversarial networks
S Hussain, A Anees, A Das, BP Nguyen, M Marzuki, S Lin, G Wright, ...
Neural Networks 132, 353-363, 2020
222020
Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites
S Hussain, SC Liu, A Basu
Neural computation 27 (4), 845-897, 2015
222015
Delay learning architectures for memory and classification
S Hussain, A Basu, RM Wang, TJ Hamilton
Neurocomputing 138, 14-26, 2014
202014
DELTRON: Neuromorphic architectures for delay based learning
S Hussain, A Basu, M Wang, TJ Hamilton
2012 IEEE Asia Pacific Conference on Circuits and Systems, 304-307, 2012
202012
Learning spike time codes through morphological learning with binary synapses
S Roy, PP San, S Hussain, LW Wei, A Basu
IEEE transactions on neural networks and learning systems 27 (7), 1572-1577, 2015
192015
Computation using mismatch: Neuromorphic extreme learning machines
E Yao, S Hussain, A Basu, GB Huang
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 294-297, 2013
162013
Multiclass classification by adaptive network of dendritic neurons with binary synapses using structural plasticity
S Hussain, A Basu
Frontiers in neuroscience 10, 113, 2016
152016
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines
S Roy, A Basu, S Hussain
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 302-305, 2013
152013
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration
S Hussain, R Gopalakrishnan, A Basu, SC Liu
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013
152013
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation
A Das, S Hussain, F Yang, MS Habibullah, A Kumar
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2093-2098, 2019
142019
Development of cortical orientation selectivity in the absence of visual experience with contour
T Ohshiro, S Hussain, M Weliky
Journal of neurophysiology 106 (4), 1923-1932, 2011
142011
Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filters
MHJNR Karkulali Pugalenthi, Pham Luu Trung Duong, Jaehyeok Doh, Shaista Hussain
Applied Sciences 11 (13), 2021
112021
Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries
K Pugalenthi, H Park, S Hussain, N Raghavan
IEEE Access 9, 135132-135143, 2021
92021
Morphological learning in multicompartment neuron model with binary synapses
S Hussain, A Basu
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2527-2530, 2016
92016
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning
SHNR Karkulali Pugalenthi, Hyunseok Park
Sensors 22 (10), 2022
82022
Digging deep into Golgi phenotypic diversity with unsupervised machine learning
S Hussain, X Le Guezennec, W Yi, H Dong, J Chia, K Yiping, LK Khoon, ...
Molecular biology of the cell 28 (25), 3686-3698, 2017
82017
Federated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics
R Kanagavelu, Z Li, J Samsudin, S Hussain, F Yang, Y Yang, RSM Goh, ...
Implementing Industry 4.0, 143-176, 2021
72021
Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites
PP San, S Hussain, A Basu
2014 International Joint Conference on Neural Networks (IJCNN), 3192-3196, 2014
52014
Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression
PLT Duong, S Hussain, MH Jhon, N Raghavan
IEEE Access 8, 222256-222266, 2020
42020
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