Workshop 2: Tidyverse: R Packages for Data Science

Adam Sullivan, Brown University

1:00 PM - 5:00 PM

Workshop 3: Deep Learning with Python

David Zeng, Dakota State University

Dakota Room 250 A/C

1:00 PM - 5:00 PM

Application of Transfer Learning Techniques for Medical Image Classification

James Boit, Dakota State University
David Zeng, Dakota State University

Pheasant Room 253 A/B

10:00 AM - 10:50 AM

FICO® Scores Through the Economic Cycle and Understanding Consumer Sensitivities to Economic Fluctuations

Gerald Fahner

Dakota Room 250 A/C

10:00 AM - 10:50 AM

Identification of Potential Markets – The Sanford Opportunity Score

Clark Casarella, Sanford Health

Pheasant Room 253 A/B

10:00 AM - 10:50 AM

minque: An R Package for Analyzing Various Linear Mixed Models

Jixiang Wu, South Dakota State University

Pasque 255

10:00 AM - 10:50 AM

Approximate Bayesian Decision‐making with Complex Data: Analysis of Forensic Fingerprint Data

Cedric Neumann, South Dakota State University

Pasque 255

11:00 AM - 12:00 PM

Leveraging Data for the Who, What, Why, and How of Population Health

Emily Griece, Sanford Health
Doug Nowak, Sanford Health

Pheasant Room 253 A/B

11:00 AM - 12:00 PM

Predicting Unplanned Medical Visits Among Patients with Diabetes Using Machine Learning

Arielle Selya, Sanford Health
Eric L. Johnson, University of North Dakota

Pheasant Room 253 A/B

11:00 AM - 12:00 PM

Recommendation Systems and Personalization Methods and Use Cases

Ally Pelletier, Star Tribune

Dakota Room 250 A/C

11:00 AM - 12:00 PM

Poster Session

South Dakota State University

Volstorff B

12:00 PM - 1:00 PM

Data Science Ops: Working Excellently

Thomas Cleberg, Mutual of Omaha Insurance

Dakota Room 250 A/C

1:00 PM - 1:50 PM

Dimension Reduction for Big Data

Hossein Moradi, South Dakota State University

Pasque 255

1:00 PM - 1:50 PM

Effective Model Validation

Lance D. Cundy, Federal Reserve Bank of Minneapolis

Dakota Room 250 A/C

1:00 PM - 1:50 PM

Session: 4 Multilinear Subspace Learning and its Applications to Machine Learning

Randy Hoover, SDSMT
Kyle Caudle Dr., SDSMT
Karen Braman Dr., SDSMT

Pasque 255

1:00 PM - 1:50 PM

Survival Analysis Methods to Predict Loss Rates in Credit Card Portfolios

Landon Thompson
Tom Brandenburger, South Dakota State University
CAPITAL Card Services
CAPITAL Card Services

Dakota Room 250 A/C

1:00 PM - 1:50 PM

Poster Session : Student Poster Competition

South Dakota State University

Volstorff A

2:00 PM - 3:00 PM

Data Use in the Measurement of Systemic Risk in Financial Systems

Katherine Kime, University of Nebraska at Kearney

Dakota Room 250 A/C

3:30 PM - 4:30 PM

Dos and Don'ts of Data Science

Ryan Burton, Capital Services

Dakota Room 250 A/C

3:30 PM - 4:30 PM

Neural Shrubs: Using Neural Networks to Improve Decision Trees

Kyle Caudle, SDSMT
Randy Hoover, SDSMT
Aaron Alphonsus, SDSMT

Pasque 255

3:30 PM - 4:30 PM

Survival Analysis Methods to Predict Loss Rates in Credit Card Portfolios

Landon Thompson, United Health

Pheasant Room 253 A/B

3:30 PM - 4:30 PM

The Fit of Data Visualization Design for Knowledge Activation

Kari Sandouka, Updated - AIS
Cherie Noteboom, Dakota State University

Pheasant Room 253 A/B

3:30 PM - 4:30 PM