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Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Wednesday, June 8

CS03 - Functional Data Analysis
Refereed

Wed, Jun 8, 10:30 AM - 12:00 PM
Cambria

Chair(s): Hasthika Rupasinghe, Appalachian State University

10:35 AM

Deep Neural Network Classifier for Multi-Dimensional Functional Data
Presentation Shuoyang Wang, Auburn University

11:00 AM

Optimal Classification for Functional Data
Guanqun Cao, Auburn University

11:25 AM

Forecasting Multivariate Functional Time Series: Multivariate Functional Singular Spectrum Analysis Approaches
Mehdi Maadooliat, Marquette University

CS07 - Modeling + Non-Parametric Methods
Lightning

Wed, Jun 8, 1:15 PM - 2:45 PM
Fayette

Chair(s): Emily Dodwell, AT&T

1:20 PM

Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
Presentation Boampong Adu Asare, United Tribes Technical College

1:25 PM

Skeleton Regression: A Graph-Based Approach to Estimation on Manifold
Presentation Zeyu Wei, University of Washington

1:30 PM

Long-Range Dependence in Low-Frequency Earthquake Catalogs
Presentation Ariane Ducellier, University of Washington

1:35 PM

Non-parametric identification and estimation of interactions using stochastic intervention target parameters: implications for mixed exposure analysis.
David Brenton McCoy, University of California Berkeley

1:40 PM

Sparse Bayesian Matrix-variate Regression with High-dimensional Data
Hsin-Hsiung Huang, University of Central Florida

1:45 PM

Distribution Free Bootstrap Prediction Intervals After Variable Selection
Lasanthi Watagoda, Appalachian State University

1:50 PM

SMRT: A Structural Model of Latent Ratings and Topics in Text
Desheng Ma, Cornell University

1:55 PM

Alternatives to ANOVA and Regression Amidst Non-normality: Relative Hypothesis Test Performance
Presentation Anthony J. Bishara, College of Charleston

2:00 PM

Oblique and Non-Linear Survival Trees Based on Dipolar Splitting Criteria
Drew Lazar, Ball State University

2:05 PM

Optimisation of relay team selection for various swimming configurations
Presentation Gary David Sharp, Nelson Mandela University

2:10 PM

Can a novel human-centered machine learning algorithm predict better than its black-box counterparts? A benchmarking study of transparency-motivated ranked sparsity methods using 66 diverse datasets
Presentation Ryan Peterson, Colorado School of Public Health

2:15 PM

A Comparison of Time Series Model Fitting using Traditional Time Series Models vs. Deep Learning Models including RNN and LSTM to Stock Market Data of Big Tech Companies in the US
Benjamin Houghton, Georgetown University

PS01 - Modeling + Non-Parametric Methods, Part 2
Lightning Poster

Wed, Jun 8, 2:45 PM - 3:40 PM
Allegheny I

Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
Boampong Adu Asare, United Tribes Technical College

Skeleton Regression: A Graph-Based Approach to Estimation on Manifold
Zeyu Wei, University of Washington

Long-Range Dependence in Low-Frequency Earthquake Catalogs
Ariane Ducellier, University of Washington

Sparse Bayesian Matrix-variate Regression with High-dimensional Data
Hsin-Hsiung Huang, University of Central Florida

Distribution Free Bootstrap Prediction Intervals After Variable Selection
Lasanthi Watagoda, Appalachian State University

Oblique and Non-Linear Survival Trees Based on Dipolar Splitting Criteria
Drew Lazar, Ball State University

SMRT: A Structural Model of Latent Ratings and Topics in Text
Desheng Ma, Cornell University

Alternatives to ANOVA and Regression Amidst Non-normality: Relative Hypothesis Test Performance
Anthony J. Bishara, College of Charleston

Optimisation of relay team selection for various swimming configurations
Gary David Sharp, Nelson Mandela University

Thursday, June 9

CS13 - Data Mining and Deep Learning
Refereed

Thu, Jun 9, 10:30 AM - 12:00 PM
Fayette

Chair(s): Mingzhao Hu, University of California, Santa Barbara

10:35 AM

Model-Agnostic AI Assurance Scoring Framework
Md Nazmul Kabir Sikder, Virginia Tech

11:00 AM

Malfunction Analysis in Processes Based on Rule Mining
Benoit Vuillemin, IRMA - UMR 7501 - CNRS

11:25 AM

Random Forest to Estimate a Dose-Response Relationship in Quasi-Experimental Student Success Studies
Richard A Levine, San Diego State University

CS16 - Advancements in Machine Learning
Refereed

Thu, Jun 9, 1:15 PM - 2:45 PM
Cambria

Chair(s): Qiyu Wang, Zhejiang University of Finance and Economics

1:20 PM

Combining Capsule Networks and Self-Supervised Learning for Image Classification with Occlusion
Ladyna Wittscher, Friedrich-Schiller-University Jena, Germany

1:45 PM

A Convex-Nonconvex Strategy for Grouped Variable Selection
Presentation Xiaoqian Liu, North Carolina State University

2:10 PM

Recalibrating Probability Density Estimates Using Feature-Space Regression
Biprateep Dey, University of Pittsburgh

CS17 - Data-driven Healthcare
Lightning

Thu, Jun 9, 1:15 PM - 2:45 PM
Fayette

Chair(s): Xiaoqing "Ellen" Tan, University of Pittsburgh

1:20 PM

R-Based Clinical Trial Submission to FDA
Presentation Ning Leng, Genentech, Inc.

1:25 PM

A Predictive Model for Speech Rehabilitation for Patients with Parkinson’s Disease
Ismail EL Moudden, Eastern Virginia Medical School Sentara Healthcare Analytics and Delivery Science Institute

1:30 PM

fiBAG: Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data
Presentation Rupam Bhattacharyya, University of Michigan

1:35 PM

Defining New Staging Criteria for Metastatic Breast Cancer Using Recursive Partitioning
Presentation Samantha M. Thomas, Duke University

1:40 PM

CAMO: A molecular congruence analysis framework for evaluating model organisms
Wei Zong, Department of Biostatistics, University of Pittsburgh

1:45 PM

Comparing Methods for Evaluating the Proportional Hazards Assumption for Time-to-Event Survey Data
John R Pleis, National Center for Health Statistics

1:50 PM

Variable selection in the development of ICU scoring systems
Presentation Gary David Sharp, Nelson Mandela University

1:55 PM

Modeling COVID-19 disruptions in longitudinal health registry data: a case study of conventional methods producing incoherent results
Presentation Raymond Pomponio, Colorado School of Public Health

2:00 PM

Neural-Network Models for Long-term Care Insurance Insolvency: An Enterprise Risk Management Approach
Sebastain Awondo, University of Alabama

2:05 PM

CircadianPipeline: A pipeline for differential rhythmicity analysis in R/Shiny
Xiangning Xue, University of Pittsburgh

2:10 PM

Delayed Phase Scan Prediction for Multiphase Liver CT Dose Reduction
Presentation Bin Chen, Purdue University Fort Wayne

PS03 - Data-driven Healthcare, Part 2
Lightning Poster

Thu, Jun 9, 2:45 PM - 3:40 PM
Allegheny I

R-Based Clinical Trial Submission to FDA
Ning Leng, Genentech, Inc.

A Predictive Model for Speech Rehabilitation for Patients with Parkinson’s Disease
Ismail EL Moudden, Eastern Virginia Medical School Sentara Healthcare Analytics and Delivery Science Institute

fiBAG: Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data
Rupam Bhattacharyya, University of Michigan

Defining New Staging Criteria for Metastatic Breast Cancer Using Recursive Partitioning
Samantha M. Thomas, Duke University

CAMO: A molecular congruence analysis framework for evaluating model organisms
Wei Zong, Department of Biostatistics, University of Pittsburgh

Comparing Methods for Evaluating the Proportional Hazards Assumption for Time-to-Event Survey Data
John R Pleis, National Center for Health Statistics

Variable selection in the development of ICU scoring systems
Gary David Sharp, Nelson Mandela University

Modeling COVID-19 disruptions in longitudinal health registry data: a case study of conventional methods producing incoherent results
Raymond Pomponio, Colorado School of Public Health

Delayed Phase Scan Prediction for Multiphase Liver CT Dose Reduction
Bin Chen, Purdue University Fort Wayne

Neural-Network Models for Long-term Care Insurance Insolvency: An Enterprise Risk Management Approach
Sebastain Awondo, University of Alabama

CircadianPipeline: A pipeline for differential rhythmicity analysis in R/Shiny
Xiangning Xue, University of Pittsburgh

CS20 - Neural Network Analysis
Refereed

Thu, Jun 9, 3:45 PM - 5:15 PM
Cambria

Chair(s): Ilia Sucholutsky, University of Waterloo

3:50 PM

Predicting Crop-Specific Land Cover Using Transition Probabilities, Deep and Quantum-Inspired Neural Network Models
Luca Sartore, National Institute of Statistical Sciences

4:15 PM

Comprehensive Evaluation of CNNs for Pollen Classification
Presentation Predrag Matavulj, BioSense Institute

4:40 PM

A Novel Architecture Combining Central-Peripheral Deviation with Convolutional Neural Networks for Diffusion Tensor Imaging Studies
Presentation Soyun Park, University at Buffalo

CS21 - New Models, Methods, and Applications I
Lightning

Thu, Jun 9, 3:45 PM - 5:15 PM
Fayette

Chair(s): Francis Bilson Darku, University of Notre Dame

3:50 PM

CGMM: an algorithm for constrained model-based clustering
Jian Zou, Department of Biostatistics, School of Public Health, University of Pittsburgh

3:55 PM

A Semiparametric Modeling Approach for Analyzing Clinical Biomarkers Restricted to Limits of Detection
Sandipan Dutta, Old Dominion University

4:00 PM

Bayesian Poisson Model with Spatio-temporal Structure for Mortality Projection of Multi-population
Zhen Liu, Department of Mathematics & Statistics, Georgetown University

4:05 PM

Empirically adjusted weighted ordered p-values method for meta-analysis
Sinjini Sikdar, Old Dominion University

4:10 PM

Confidence Intervals for Genetic Correlation via Parametric Bootstrap
Yi-Ting Tsai, Harvard T.H. Chan School of Public Health

4:15 PM

A California Wetland Case Study: A Novel, Predictive Approach to Monitor Estuarine Health
Vedant Janapaty, Silver Creek High School

4:20 PM

Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction
Presentation Yoann Valero, LIST3N, Université de Technologie de Troyes

4:25 PM

Variable Importance Confidence Intervals within Random Forest
Presentation Heather Lynn Cook, University of Southern Indiana

4:30 PM

A New, Global Estimate of Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems
Shloka V. Janapaty, Columbia University

Friday, June 10

PS04 - New Models, Methods, and Applications I, Part 2
Lightning Poster

Fri, Jun 10, 8:15 AM - 9:00 AM
Allegheny I

Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction
Yoann Valero, LIST3N, Université de Technologie de Troyes

Variable Importance Confidence Intervals within Random Forest
Heather Lynn Cook, University of Southern Indiana

CGMM: an algorithm for constrained model-based clustering
Jian Zou, Department of Biostatistics, School of Public Health, University of Pittsburgh

A Semiparametric Modeling Approach for Analyzing Clinical Biomarkers Restricted to Limits of Detection
Sandipan Dutta, Old Dominion University

Bayesian Poisson Model with Spatio-temporal Structure for Mortality Projection of Multi-population
Zhen Liu, Department of Mathematics & Statistics, Georgetown University

Empirically adjusted weighted ordered p-values method for meta-analysis
Sinjini Sikdar, Old Dominion University

Confidence Intervals for Genetic Correlation via Parametric Bootstrap
Yi-Ting Tsai, Harvard T.H. Chan School of Public Health

A California Wetland Case Study: A Novel, Predictive Approach to Monitor Estuarine Health
Vedant Janapaty, Silver Creek High School

A New, Global Estimate of Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems
Shloka V. Janapaty, Columbia University

Conference Program

Viewing Track 'Machine Learning' only

Key:

American Statistical Association