An Alpha-based Prescreening Methodology for a Common but Unknown Source Likelihood Ratio with Different Subpopulation Structures

Dylan Borchert, South Dakota State University
Semhar Michael, South Dakota State University
Christopher Saunders, South Dakota State University
Andrew Simpson

1:00 PM - 2:00 PM

Antecedents of Success for Proficiency in Core Skills

Kari Sandouka, Dordt University
Miranda Vander Berg, Dordt University

1:00 PM - 2:00 PM

Atypicality Based Measures for the Identification of Counterfeit Aspirin

Janean Hanka, South Dakota State University
Megan Guetzloff, South Dakota State University
Christopher Saunders, South Dakota State University
Cami Fuglsby, South Dakota State University
Brian Logue, South Dakota State University

1:00 PM - 2:00 PM

Deploying Live Dashboard Data using USDA Data APIs to inform farmers/producers

Indira Fuyal, Dakota State University
Paurakh Paudel, Dakota State University
David Zeng, Dakota State University

1:00 PM - 2:00 PM

Detection of Prostate Cancer Using Machine Learning Techniques: An Exploratory Study

Laxmi Manasa Gorugantu, Dakota State University
Dr. Omar El-Gayar, Dakota State University
Dr. Nevine Nawar, Dakota State University

1:00 PM - 2:00 PM

Development of Strategies for Estimating a Response Surface to Characterize a Black-box Algorithm in Terms of a White-box Algorithm

Cami Fuglsby, South Dakota State University
Christopher Saunders, South Dakota State University
Danica Ommen, Iowa State University
JoAnn Buscaglia, Federal Bureau of Investigation Laboratory
Michael Caligiuri, University of California, San Diego

1:00 PM - 2:00 PM

Fine-tuning Transformer-based Natural Language Generation Algorithms for USDA Grains Reports for Farmers, Producers, and Small Businesses

Winston Zeng, University of Arizona

1:00 PM - 2:00 PM

General Adversarial Networks in Tumor-related Research: A Review and Agenda for Moving Forward

Andrew James Behrens, Dakota State University
Cherie Noteboom, Dakota State University

1:00 PM - 2:00 PM

Generalized Estimating Equations (GEE) Approach for Clustered Binary Data with Application to COVID-19 Treatment.

Sadixa Sanjel

1:00 PM - 2:00 PM

Identifying Subpopulations of a Hierarchical Structured Data using a Semi-Supervised Mixture Modeling Approach

Andrew Simpson, South Dakota State University
Semhar Michael, South Dakota State University
Christopher Saunders, South Dakota State University
Dylan Borchert, South Dakota State University

1:00 PM - 2:00 PM

Multivariate Statistics Applied to Additive Manufacturing of Inconel

Jason Hasse, South Dakota State University
Semhar Michael, South Dakota State University
Anamika Prasad, South Dakota State University

1:00 PM - 2:00 PM

Predicting Automobile Accident Severity and Hotspots Using Multinomial Logistic Regression

Zhuoyu Yang, Minot State University
Yongmin Kim, Minot State University

1:00 PM - 2:00 PM

Predicting US Wildfire Possibility and Severity.

Hoang Long Nguyen, Minot State University
Louise M. DuPont, Minot State University

1:00 PM - 1:00 PM

Standardized Incidence Ratio of the COVID-19 Pandemic in a Midwestern State

Emma Spors, South Dakota State University
Semhar Michael, South Dakota State University

1:00 PM - 1:00 PM

Wald Type Tests with the Wrong Dispersion Matrix

Kosman Rajapaksha, Augustana University

1:00 PM - 2:00 PM