288
Wed, 8/11/2021,
1:30 PM -
3:20 PM
Virtual
SLDS CSpeed 5 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Jinming Li, University of Michigan
1:35 PM
Skeleton Clustering: Dimension-Free Density-Based Clustering
Zeyu Wei, University of Washington, Department of Statistics ; Yen-Chi Chen, University of Washington
1:40 PM
A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data
Binhuan Wang, NYU School of Medicine ; Lanqiu Yao, New York University; Jiyuan Hu, New York University Grossman School of Medicine; Huilin Li, New York University Grossman School of Medicine
1:45 PM
Optimal Imperfect Classification for Functional Data
Shuoyang Wang, Auburn university ; Zuofeng Shang, New Jersey Institute of Technology; GUANQUN CAO, Auburn university
1:50 PM
A Penalized Model-Based Coclustering Algorithm
Chenchen Ma, University of Michigan ; Gongjun Xu, University of Michigan; Ji Zhu, University of Michigan
1:55 PM
Unsupervised Clustering of Aging Individuals Using Multi-Region Brain Transcriptomes
Annie J Lee, Columbia University ; Yiyi Ma, Columbia University; Lei Yu, Rush Alzheimer Disease Center, Rush University Medical Center; Robert J. Dawe, Rush Alzheimer Disease Center, Rush University Medical Center; Konstantinos Arfanakis, Rush Alzheimer Disease Center, Rush University Medical Center; Richard Mayeux, Columbia University; Bennett David, Rush Alzheimer Disease Center, Rush University Medical Center; Hans-Ulrich Klein, Columbia University; Philip L. De Jager, Columbia University
2:00 PM
Clustering and Directional Outlier Detection with Missing Information
Hung Tong, San Jose State University ; Cristina Tortora, San Jose State University
2:05 PM
How Many Clusters Are Best? Investigating Model Selection in Robust Clustering
Louis Tran, San Jose State University ; Cristina Tortora, San Jose State University
2:10 PM
Consistency of Privacy-Preserving Spectral Clustering of Block Models
Jonathan Hehir, Penn State University ; Aleksandra Slavkovic, Penn State University; Xiaoyue Niu, Pennsylvania State University
2:15 PM
Unsupervised Feature Decorrelation for Variable Selection
Ana Maria Kenney, Pennsylvania State University ; Francesca Chiaromonte, Penn State University
2:20 PM
PCAN: Principal Component Analysis for Networks
Jihui Lee, Weill Medical College of Cornell University ; James D. Wilson, University of San Francisco
2:30 PM
Longitudinal Cluster Analysis Using Segmented-LSTM with Applications of Weight Loss Trajectories Following RYGB Surgery
Yirui Hu, Geisinger ; Simo Wu, Facebook; Kunpeng Liu , University of Central Florida; Michelle R. Lent, Philadelphia College of Osteopathic Medicine; Peter N. Benotti, Geisinger ; Anthony T. Petrick, Geisinger; G. Craig Wood, Geisinger; Christopher D. Still, Geisinger; H. Lester Kirchner, Geisinger
2:35 PM
WITHDRAWN Assessing Classification Uncertainty on Astronomical Objects with Measurement Error
2:40 PM
Semi-Supervised Classification and Visualization of Multi-View Data
Theodoulos Rodosthenous, Imperial College London ; Vahid Shahrezaei, Imperial College London; Marina Evangelou, Imperial College London
2:45 PM
Comparing the Accuracy Classification of the Machine Learning Algorithms Using Anxiety Data
Hojjatollah Farahani, Tarbiat Modares University ; Parviz Azadfallah, Tarbiat Modares University; Peter Watson, University of Cambridge; Arezoo Esfandiary, Azad University of Karaj; Kazhal Rashidi, Azad University of Rudehen
2:50 PM
Spatial Autoregressive Mode Parameter Estimation and Inference Using Stochastic Gradient Descent and Bootstrap Perturbation
Ji Meng Loh, New Jersey Institute of Technology ; Gan Luan, New Jersey Institute of Technology
2:55 PM
Precision Learner in Classification: A Subject-Based Approach for Classification Using Item Response Theory for Ensemble Machine Learning
Di Xiong, University of California, Los Angeles ; Honghu Liu, University of California, Los Angeles
3:00 PM
Classification for Imbalanced Data
Renxiong Liu, Ohio State University ; Yunzhang Zhu, Ohio State University
3:05 PM
WITHDRAWN: A Virtual Multi-Label Approach to Imbalanced Data Classification
3:10 PM
Classification Accuracy Evaluation for Five Machine-Learning Classification Methods in Identifying Rare Cases in Education Assessment
Chi Chang, Michigan State University ; Harlan McCaffery, University of Michigan
3:15 PM
A Novel Application of Finite Gaussian Mixture Model (GMM) Using Real and Simulated Biomarkers of Cardiovascular Disease to Distinguish Adolescents with and Without Obesity
Babu Balagopal, Nemours Children's Health System
