activity
20182022
most citedDynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives

48 citations · 77 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ML20222 cited

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes

Xenia Miscouridou, Samir Bhatt, George Mohler +2

Hawkes processes are point process models that have been used to capture self-excitatory behavior in social interactions, neural activity, earthquakes and viral epidemics. They can…

cs.CV202120 cited

Fine-Grained Zero-Shot Learning with DNA as Side Information

Sarkhan Badirli, Zeynep Akata, George Mohler +2

Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes. As manually annotated visual attribu…

stat.AP20201 cited

A Fully Bayesian, Logistic Regression Tracking Algorithm for Mitigating Disparate Misclassification

Martin B. Short, George O. Mohler

We develop a fully Bayesian, logistic tracking algorithm with the purpose of providing classification results that are unbiased when applied uniformly to individuals with differing…

cs.SI202048 cited

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives

Hao Sha, Mohammad Al Hasan, George Mohler +1

A combination of federal and state-level decision making has shaped the response to COVID-19 in the United States. In this paper we analyze the Twitter narratives around this decis…

q-bio.PE20205 cited

Analyzing the World-Wide Impact of Public Health Interventions on the Transmission Dynamics of COVID-19

George Mohler, Frederic Schoenberg, Martin B. Short +1

We analyze changes in the reproduction number, R, of COVID-19 in response to public health interventions. Our results indicate that public health measures undertaken in China reduc…

cs.LG20201 cited

Hawkes Process Multi-armed Bandits for Disaster Search and Rescue

Wen-Hao Chiang, George Mohler

We propose a novel framework for integrating Hawkes processes with multi-armed bandit algorithms to solve spatio-temporal event forecasting and detection problems when data may be…