research
∙
04/15/2022
Unsupervised Probabilistic Models for Sequential Electronic Health Records
We develop an unsupervised probabilistic model for heterogeneous Electro...
share
research
∙
04/10/2020
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
Functional magnetic resonance imaging (fMRI) is a neuroimaging modality ...
research
∙
02/06/2020
GLRT based CFAR Pareto-Target Aircraft Detection in Two-Parameter Pareto Distributed Clutter
In the last decade, after Pareto distribution has been validated for X-b...
research
∙
10/13/2019
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
We propose multivariate nonstationary Gaussian processes for jointly mod...
research
∙
10/13/2019
Regularized Sparse Gaussian Processes
Gaussian processes are a flexible Bayesian nonparametric modelling appro...
research
∙
05/17/2019
Buffer-aided Resource Allocation for a Price Based Opportunistic Cognitive Radio Network
In this paper, a resource allocation problem for an opportunistic cooper...
research
∙
03/04/2019
Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes
In this work, we investigate the successful data communication probabili...
research
∙
01/09/2018
Modeling sepsis progression using hidden Markov models
Characterizing a patient's progression through stages of sepsis is criti...
research
∙
10/14/2017