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Lightning

CS010 Lightning Session 2, Part 1

Wed, Apr 29, 1:15 PM - 2:45 PM Room Milwaukee B Hyatt Regency Milwaukee

Monnie McGeeChair

Data Science ApplicationsSystems and Infrastructure for Applied Data Science

About this session

This session will be followed by an e-poster session on April 29 from 3:20 - 3:45 PM.

12 Presentations

A Data-Driven Framework for Targeted Vaccination Outreach Among U.S. Adolescents (Aged 13–17 Years) Using Machine Learning Modeling Techniques

1:15 PM - 2:45 PM

Co-authors: Rishik Shenolikar, Rajesh Balkrishnan (University of Virginia), Rishik Shenolikar

Vaccination Predictive Models Machine-learning models Risk-based outreach

An R package that extends ggplot2 with dual-stroke and contrast-aware geoms: ggtwotone

1:15 PM - 2:45 PM

Co-authors: Beenu Sareena Wanni Arachchige, Heike Hofmann (Iowa State University), Beenu Sareena Wanni Arachchige

statistical graphics contrast-aware annotations dual-stroke geoms perceptual contrast

Bayesian nonparametric hypothesis testing methods on multiple comparisons

1:15 PM - 2:45 PM

Co-authors: Zhuanzhuan Ma (University of Texas Rio Grande Valley), Zhuanzhuan Ma (University of Texas Rio Grande Valley)

Bayes factor restricted most powerful Bayesian tests nonparametric hypothesis testing statistical evidence

Characterizing Substance Use Recovery Journeys Through Patient Interactions on a Digital Platform

1:15 PM - 2:45 PM

Co-authors: Daniel Evans, Mary Kreklow (St. Olaf College), Daniel Evans, Zach Martin, Daniel Evans

Digital Health Addiction Recovery Patient Engagement Sentiment Analysis Mobile Health Platforms

Evaluating machine learning classifier performance with biostatistical methods from diagnostic testing

1:15 PM - 2:45 PM

Co-authors: Momin Malik (Mayo Clinic), Momin Malik (Mayo Clinic), David Watson (Mayo Clinic), Sunghwan Sohn (Mayo Clinic), Chung-Il Wi (Mayo Clinic), Richard R. Sharp (Mayo Clinic), Young J. Juhn (Mayo Clinic)

Diagnostic testing Machine learning Evaluation Uncertainty quantification Contingency tables Fairness

Identifying Profiles of Clinical Sequelae for Mild Traumatic Brain Injuries Derived from Motor Vehicular Accidents

1:15 PM - 2:45 PM

Co-authors: Miguel Fudolig (University of Nevada-Las Vegas), Ishrat Zaman (University of Nevada Las Vegas), Miguel Fudolig (University of Nevada-Las Vegas), Cheryl Hightower (Imgen Research Group), Travis Snyder (IMGEN Research Group)

Latent Class Analysis Mild Traumatic Brain Injury Unsupervised Classification Brain Health

Interpreting Tree-Based Models through Linear Representations

1:15 PM - 2:45 PM

Co-authors: Shahryar Karimi, Mehdi Maadooliat (Marquette University), Shahryar Karimi

Tree-Based Models Linear Representations Penalized Regression Functional Data Analysis R Software

Modeling Environmental and Urban Systems: A Comparative Regression Analysis

1:15 PM - 2:45 PM

Co-authors: Jordan Martin, H.M. Wiranthe Herath (Drake University), Jordan Martin

predictive modeling statistical learning regression analysis urban connectivity environmental data sustainability analytics

Network Analysis and Machine Learning Algorithms to Boost Fraud Detection in Credit Card Transactions

1:15 PM - 2:45 PM

Co-authors: Carlos Pinheiro (SAS Institute Inc), Carlos Pinheiro (SAS Institute Inc)

network analysis supervised machine learning fraud detection network metrics subnetwork algorithms

Schrödinger’s Data: The modern data science dilemma

1:15 PM - 2:45 PM

Co-authors: Sarah Gilyard, Sarah Sylvestre (JMP), Sarah Sylvestre (JMP), Sarah Gilyard

data science democratization JMP automation Bayesian Optimization Artificial Inteligence no-code, low-code

Timing and Tides: Exploring trends in Women’s Club Creation in Post Civil War United States

1:15 PM - 2:45 PM

Co-authors: Jenna Graff (Co-Author), Jenna Graff (Co-Author), Aria Whalen (Co-Author), Aria Whalen (Co-Author), Noah Braun (Co-Author), Jaime Davila, Benjamin Lim

Woman's Clubs Optical Character Recognition 19th Amendment

Toward Unsupervised Representation Learning and Online Regime Detection in High-Frequency Cryptocurrency Markets.

1:15 PM - 2:45 PM

Co-authors: Benjamin van de Sande, Benjamin van de Sande

Bitcoin market microstructure Limit order book (L2) data High-frequency data acquisition Unsupervised representation learning Streaming anomaly detection Online regime detection

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