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Contributed Papers

Classification and Machine Learning Methods with Applications

Tue, Aug 8, 10:30 AM

W.Y. LouChair

Caucus for Women in Statistics

6 Presentations

A Steinian approach to model selection

10:35 AM - 10:50 AM

Mohamed Amezziane (Central Michigan University)

Co-authors: S. Ejaz Ahmed (Imaging Research Inc c/o Brock University)

Semiparametric and Variable Marginal Effects with Debiased Machine Learning

10:50 AM - 11:05 AM

Co-authors: Roger Klein (Rutgers University)

Improving Text Classification for Rare Categories

11:05 AM - 11:20 AM

Robert Chew (RTI International)

Co-authors: Kirsty Weitzel, Peter Baumgartner (RTI International), Caroline Oppenheimer (RTI International), Autumn Barnes (RTI International), Shirley Liu (RTI International), Adam Bryant Miller (RTI International), Ashley Lowe (RTI International), Anna Yaros (RTI International)

Using Hierarchical Clustering to Inform Symptom Identification for Breast Implant Illness

11:20 AM - 11:35 AM

Samantha Thomas (Duke University)

Selected Machine Learning Techniques for Cell Image Analysis in Drug/Vaccine Research

11:35 AM - 11:50 AM

Donghui Zhang (Sanofi)

Co-authors: Yichen Jia (Sanofi)

Text Classification Using a Wiki-Informed Training Set

11:50 AM - 12:05 PM

Kathryn Linehan (University of Virginia)

Co-authors: Thomas Neil Kattampallil (University of Virginia, Biocomplexity Institute and Initiative), Guy Siwe (Biocomplexity Institute), Joel Thurston (UVA Social and Decisions Analytics Division), Kristian Olsson (University of Virginia), Stephanie Shipp (University of Virginia, Biocomplexity Institute & Initiative), John Jankowski (NCSES/NSF), Audrey Kindlon (National Science Foundation)

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