Developing Machine Learning Techniques for Network connectivity Inference from Time-Series Data.
PhD thesis, 2022
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
J. Am. Medical Informatics Assoc., 2021
Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests.
CoRR, 2020
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
J. Am. Medical Informatics Assoc., 2019
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links.
CoRR, 2019
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis.
Neural Comput., 2018
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors.
CoRR, 2017
A current-mode spiking neural classifier with lumped dendritic nonlinearity.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations.
IEEE Trans. Biomed. Circuits Syst., 2014
A Response Surface Method for Design Space Exploration and Optimization of Analog Circuits.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2011
An efficient approach to model distortion in weakly nonlinear Gm - C filters.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
Macromodel Based Fault Simulation of Linear Circuits using Parameter Estimation.
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008
A Near Optimal S-Box Design.
Proceedings of the Information Systems Security, Third International Conference, 2007