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CC = Walter E. Washington Convention Center   M = Marriott Marquis Washington, DC
* = applied session       ! = JSM meeting theme

Activity Details

283 Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-204A
Deep Learning Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Bowei Xi, Purdue University
10:35 AM Interval Prediction with Deep Learning Models
Ghulam Qadir, Heidelberg Institute of Theoretical Studies; Tilmann Gneiting, Heidelberg Institute for Theoretical Studies
10:50 AM Classification of Longitudinal Data with Irregularly Spaced Intervals: A Comparison Between Posthoc Mixture Modeling of BLUPs from Mixed-Effects Model and Deep Clustering Methods
Md Jobayer Hossain, Nemours Children's Health; Ben Leiby, Thomas Jefferson University
11:05 AM A Framework to Explain Deep Learning Model Using Bayesian Rank Statistics and Layer-Wise Relevance Propagation
Yiqing Wang, Southern Methodist University; Xiaowei Zhan, The University of Texas Southwestern Medical Center; Guanghua Xiao, The University of Texas Southwestern Medical Center; Sen Yang, Southern Methodist University; Shidan Wang, University of Texas Southwestern Medical Center
11:20 AM How Much Data Do We Need? Predicting Deep Learning Model Performance and Training Data Sizes
Jelena Frtunikj, ArgoAI; Thomas Muehlenstaedt, ArgoAI; Rajat Mehta, ArgoAI
11:35 AM Neural Network Models for Clustered Data
Jing Wang, The University of Texas at Arlington
11:50 AM Manifold Alignment by Matching the Data Geometry and Label Information
Andres Felipe Duque, Utah state university; Dr. Kevin Moon, Utah State University
12:05 PM Self-Tuning, Nonlinear Parameter Estimation: A 21st-Century Approach to Statistics
Mary Gregg, National Institute of Standards and Technology; Lucas Koepke, National Institute of Standards and Technology; Angela Folz, National Institute of Standards and Technology/University of Colorado Boulder; Michael Frey, National Institute of Standards and Technology