All Times ET

Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Wednesday, June 2

CS03 - Shaping Decisions with Classification and Clustering
Refereed

Wed, Jun 2, 1:10 PM - 2:45 PM

Chair(s): Thomas Chen, Academy for Mathematics, Science, and Engineering

1:15 PM

Unbiased Estimations Based on Binary Classifiers: A Maximum Likelihood Approach
Marco J.H. Puts, Statistics Netherlands

1:45 PM

Spectral Clustering of Mixed-Type Data
Felix Mbuga, San Jose State University

2:15 PM

Cluster Analysis in a Multi-Block Setting
Presentation Fabien Llobell, Addinsoft, XLSTAT

Thursday, June 3

CS08 - Network Analysis
Refereed

Thu, Jun 3, 10:00 AM - 11:35 AM

Chair(s): Katie Anne Bakewell, NLP Logix

10:05 AM

Estimation of the Mean Function of Functional Data via Deep Neural Networks
Presentation SHUOYANG WANG, Auburn University

10:35 AM

Interpretation of Radiological Imaging Features Using Generative Adversarial Networks
Kyle Andrew Hasenstab, San Diego State University

11:05 AM

Multinomial Tensor Regression with Application to Whole-Brain Structural MRI Analysis
Presentation Fang Yang, University of Cincinnati

Friday, June 4

CS18 - Advancements in Learning
Refereed

Fri, Jun 4, 11:25 AM - 1:00 PM

Chair(s): Heather Hisako Kitada Smalley, Willamette University

11:30 AM

Adversarially Robust Subspace Learning
Ruizhi Zhang, University of Nebraska-Lincoln

12:00 PM

A Geometry-Driven Longitudinal Topic Model
Presentation Yu Wang, University of Michigan

CS27 - Random Forests Shaping Decisions
Refereed

Fri, Jun 4, 3:20 PM - 4:55 PM

Chair(s): Krithika Suresh, University of Colorado

3:25 PM

Augmented Bagging and Implications for Variable Importance
Siyu Zhou, University of Pittsburgh

3:55 PM

Causal Effect Random Forest of Interaction Trees for Learning Individualized Treatment Regimes with Non-Binary Treatments in Observational Studies
Richard A Levine, San Diego State University

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