614 citations · 780 across the 14 of their papers we have counts for
14 papers
Evaluating and improving crop-yield forecasting methods during extreme drought
Shrey Gupta, Yi Ming, George Mohler
The impact of climate variability on food production has led to the creation of various forecasting models that uses machine learning (ML), numerical weather predictors (NWP) or a…
Time-to-event modeling of subreddits transitions to r/SuicideWatch
Xueying Liu, Shiaofen Fang, George Mohler +2
Recent data mining research has focused on the analysis of social media text, content and networks to identify suicide ideation online. However, there has been limited research on…
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…
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…
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…
Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data
Xueying Liu, Jeremy Carter, Brad Ray +1
Opioid overdose rates have increased in the United States over the past decade and reflect a major public health crisis. Modeling and prediction of drug and opioid hotspots, where…
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…
The challenges of modeling and forecasting the spread of COVID-19
Andrea L. Bertozzi, Elisa Franco, George Mohler +2
We present three data driven model-types for COVID-19 with a minimal number of parameters to provide insights into the spread of the disease that may be used for developing policy…
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…
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…
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
John Lu, Sumati Sridhar, Ritika Pandey +2
Increasing rates of opioid drug abuse and heightened prevalence of online support communities underscore the necessity of employing data mining techniques to better understand drug…
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data
Kathryn Gray, Daniel Smolyak, Sarkhan Badirli +1
Detecting anomalous activity in human mobility data has a number of applications including road hazard sensing, telematic based insurance, and fraud detection in taxi services and…
Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard
George Mohler
Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard [arXiv:1209.0089].
Modeling and estimation of multi-source clustering in crime and security data
George Mohler
While the presence of clustering in crime and security event data is well established, the mechanism(s) by which clustering arises is not fully understood. Both contagion models an…