Robert Chew

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Social network analysis methods for international development

Predicting age groups of Reddit users based on posting behavior and metadata: Classification model development and validation

Collecting and using always-on location data in surveys

Worldwide population estimates for small geographic areas: Can we do a better job?

Deep neural networks and transfer learning for food crop identification in UAV images

Identification of bicycling periods using the MicroPEM personal exposure monitor

Making evidence actionable: Interactive dashboards, bayes, and health care innovation

The public health impact of different microbiological criteria approaches for salmonella in chicken parts

Rollmatch: An R package for rolling entry matching

Estimated ages of JUUL Twitter followers

Interactive visualization to facilitate monitoring longitudinal survey data and paradata

SMART: An open source data labeling platform for supervised learning

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

Anesthesia staffing models and geographic prevalence post-medicare CRNA/physician exemption policy

Toward model-generated household listing in low- and middle-income countries using deep learning

Turning narrative descriptions of individual behavior into network visualization and analysis: Example of terrorist group dynamics

Assessing target audiences of digital public health campaigns: A computational approach

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery

Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010-2013

Classification of Twitter users who tweet about e-cigarettes