All Times EDT
Legend: CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
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, University of Utah
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
