Edward R. Dougherty — accepted AI-conference papers

2022

Adaptive Group Testing with Mismatched Models

Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian

ICASSP 2022accepted

Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups, instead of testing each individual in the population, can be more efficient. In this work, we consider noisy adaptive…

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2017

Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks

Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty

ICASSP 2017accepted

This paper studies the classification of gene regulatory networks (GRNs) modeled by probabilistic Boolean networks (PBNs). After observing Gaussian expression values of n genes at m consecutive time points, with consideration of missing data, an algorithm based on expectation maximization (EM) is pr…

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