Publications

(2020). Collecting and using always-on location data in surveys. Survey Methods: Insights from the Field.

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(2020). Worldwide Population Estimates for Small Geographic Areas: Can We Do A Better Job?. Big Data Meets Survey Science.

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(2020). Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images. Drones.

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(2019). Identification of Bicycling Periods Using the MicroPEM Personal Exposure Monitor. Sensors.

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(2019). Making Evidence Actionable: Interactive Dashboards, Bayes, and Health Care Innovation. eGEMs.

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(2019). rollmatch: An R Package for Rolling Entry Matching. The R Journal.

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(2019). The Public Health Impact of Different Microbiological Criteria Approaches for Salmonella in Chicken Parts. Microbial Risk Analysis.

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(2019). Estimated Ages of JUUL Twitter Followers. JAMA Pediatrics.

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(2019). Interactive visualization to facilitate monitoring longitudinal survey data and paradata. RTI Press.

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(2019). SMART: An Open Source Data Labeling Platform for Supervised Learning. Journal of Machine Learning Research.

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(2019). Anesthesia Staffing Models and Geographic Prevalence Post-Medicare CRNA/Physician Exemption Policy. Nursing Economic$.

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(2019). Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society.

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(2018). Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning. ISPRS International Journal of Geo-Information.

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(2018). Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics. SBP-BRiMS 2018.

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(2018). Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach. SBP-BRiMS 2018.

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(2018). Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. International Journal of Health Geographics.

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(2018). Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013. BMC Cancer.

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(2017). Classification of Twitter users who tweet about e-cigarettes. JMIR Public Health and Surveillance.

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(2017). Predicting age groups of Twitter users based on language and metadata features. PloS One.

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(2017). Patterns of Twitter behavior among networks of cannabis dispensaries in California. Journal of Medical Internet Research.

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