Shaista Hussain

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 12

Top Topics

Structural Learning

Gaussian Process

Top Venues

Publications

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning. Sensors 22 (10) (2022)
Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks. IEEE Access 9 (2021)
Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries. IEEE Access 9 (2021)
Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal
High-content image generation for drug discovery using generative adversarial networks. Neural Networks 132 (2020)
Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan
Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression. IEEE Access 8 (2020)
Ankit Das, Shaista Hussain, Feng Yang, Mohamed Salahuddin Habibullah, Arun Kumar
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation. TENCON (2019)
Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal
DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells. TENCON (2019)
Shaista Hussain, Arindam Basu
Morphological learning in multicompartment neuron model with binary synapses. ISCAS (2016)
Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Pranshu Kalra, Shaista Hussain, Nitin Chaturvedi
An Investigation of Power-Performance Aware Accelerator/Core Allocation Challenges in Dark Silicon Heterogeneous Systems. iNIS (2016)
Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
Learning Spike time codes through Morphological Learning with Binary Synapses. CoRR (2015)
Shaista Hussain, Shih-Chii Liu, Arindam Basu
Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites. Neural Comput. 27 (4) (2015)
Phyo Phyo San, Shaista Hussain, Arindam Basu
Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites. IJCNN (2014)
Shaista Hussain, Shih-Chii Liu, Arindam Basu
Improved margin multi-class classification using dendritic neurons with morphological learning. ISCAS (2014)
Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton
Delay learning architectures for memory and classification. Neurocomputing 138 (2014)
Shaista Hussain, Shih-Chii Liu, Arindam Basu
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites. CoRR (2014)
Shaista Hussain, Arindam Basu, Runchun Wang, Tara Julia Hamilton
Delay Learning Architectures for Memory and Classification. CoRR (2013)
Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. IJCNN (2013)
Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang
Computation using mismatch: Neuromorphic extreme learning machines. BioCAS (2013)
Subhrajit Roy, Arindam Basu, Shaista Hussain
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. BioCAS (2013)
Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton
DELTRON: Neuromorphic architectures for delay based learning. APCCAS (2012)